#library
library(fpp3)
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library(feasts)
library(urca)
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library(zoo)
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library(tsibble)
library(readr)
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library(lubridate)
library(dplyr)
library(tidyr)
library(forecast)
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library(tseries)
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library(imputeTS)
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library(Metrics)
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library(ggplot2)
library(e1071)
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library(randomForest)
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library(caret)
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library(xgboost)
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library(Metrics)
#importdata
AirPassengers <- read.csv("D:/5th Semester/Machine Learning/AirPassengers.csv")
head(AirPassengers)
## Month.Passengers
## 1 1949-01;112
## 2 1949-02;118
## 3 1949-03;132
## 4 1949-04;129
## 5 1949-05;121
## 6 1949-06;135
summary(AirPassengers)
## Month.Passengers
## Length:144
## Class :character
## Mode :character
AirPassengers <- AirPassengers %>%
separate(`Month.Passengers`, into = c("Date", "Number_of_Passengers"), sep = ";")
AirPassengers$Number_of_Passengers <- as.numeric(AirPassengers$Number_of_Passengers)
head(AirPassengers)
## Date Number_of_Passengers
## 1 1949-01 112
## 2 1949-02 118
## 3 1949-03 132
## 4 1949-04 129
## 5 1949-05 121
## 6 1949-06 135
AirPassengers_tsibble <- AirPassengers %>%
mutate(
Date = yearmonth(Date),
Year = year(Date),
Month = month(Date, label=TRUE)
) %>%
as_tsibble(index = Date)
AirPassengers_tsibble
## # A tsibble: 144 x 4 [1M]
## Date Number_of_Passengers Year Month
## <mth> <dbl> <dbl> <ord>
## 1 1949 Jan 112 1949 Jan
## 2 1949 Feb 118 1949 Feb
## 3 1949 Mar 132 1949 Mar
## 4 1949 Apr 129 1949 Apr
## 5 1949 May 121 1949 May
## 6 1949 Jun 135 1949 Jun
## 7 1949 Jul 148 1949 Jul
## 8 1949 Aug 148 1949 Aug
## 9 1949 Sep 136 1949 Sep
## 10 1949 Oct 119 1949 Oct
## # ℹ 134 more rows
#prepro
sapply(AirPassengers_tsibble, function(x) sum(is.na(x)))
## Date Number_of_Passengers Year
## 0 0 0
## Month
## 0
AirPassengers_tsibble <- AirPassengers_tsibble %>%
mutate(
LogPassengers = log(Number_of_Passengers), # Log transformation
DiffPassengers = difference(LogPassengers), # First-order differencing
SeasonalDiffPassengers = difference(LogPassengers, lag = 12) # Seasonal differencing
)
tail(AirPassengers_tsibble)
## # A tsibble: 6 x 7 [1M]
## Date Number_of_Passengers Year Month LogPassengers DiffPassengers
## <mth> <dbl> <dbl> <ord> <dbl> <dbl>
## 1 1960 Jul 622 1960 Jul 6.43 0.151
## 2 1960 Aug 606 1960 Aug 6.41 -0.0261
## 3 1960 Sep 508 1960 Sep 6.23 -0.176
## 4 1960 Oct 461 1960 Oct 6.13 -0.0971
## 5 1960 Nov 390 1960 Nov 5.97 -0.167
## 6 1960 Dec 432 1960 Dec 6.07 0.102
## # ℹ 1 more variable: SeasonalDiffPassengers <dbl>
AirPassengers_tsibble %>%
pivot_longer(cols = c(Number_of_Passengers, LogPassengers, DiffPassengers, SeasonalDiffPassengers),
names_to = "Transformation", values_to = "Value") %>%
ggplot(aes(x = Date, y = Value)) +
geom_line() +
facet_wrap(~ Transformation, scales = "free_y") +
labs(title = "Transformations of US Air Passengers Time Series")
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).
yearly_summary <- AirPassengers_tsibble %>%
index_by(Year) %>%
summarise(
Mean = mean(Number_of_Passengers),
Variance = var(Number_of_Passengers),
SD = sd(Number_of_Passengers),
Min = min(Number_of_Passengers),
Max = max(Number_of_Passengers),
Sum = sum(Number_of_Passengers)
)
yearly_summary
## # A tsibble: 12 x 7 [1Y]
## Year Mean Variance SD Min Max Sum
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 1949 127. 188. 13.7 104 148 1520
## 2 1950 140. 364. 19.1 114 170 1676
## 3 1951 170. 340. 18.4 145 199 2042
## 4 1952 197 527. 23.0 171 242 2364
## 5 1953 225 810. 28.5 180 272 2700
## 6 1954 239. 1220. 34.9 188 302 2867
## 7 1955 284 1776. 42.1 233 364 3408
## 8 1956 328. 2291. 47.9 271 413 3939
## 9 1957 368. 3351. 57.9 301 467 4421
## 10 1958 381 4164. 64.5 310 505 4572
## 11 1959 428. 4876. 69.8 342 559 5140
## 12 1960 476. 6043. 77.7 390 622 5714
ggplot(yearly_summary, aes(x = factor(Year), y = Mean, group = 1)) +
geom_line(color = "darkgreen") +
geom_point(color = "red") +
labs(title = "Average Yearly Passengers (All Years)",
x = "Month", y = "Average Passengers") +
theme_minimal()
#modelling
# Buat fitur lag untuk supervised learning
lag_features <- function(df, lags = 12) {
for(i in 1:lags) {
df[[paste0("Lag_", i)]] <- dplyr::lag(df$Number_of_Passengers, i)
}
df <- df %>% na.omit()
return(df)
}
df_supervised <- lag_features(AirPassengers_tsibble %>%
as_tibble() %>%
mutate(Number_of_Passengers = Number_of_Passengers))
head(df_supervised)
## # A tibble: 6 × 19
## Date Number_of_Passengers Year Month LogPassengers DiffPassengers
## <mth> <dbl> <dbl> <ord> <dbl> <dbl>
## 1 1950 Jan 115 1950 Jan 4.74 -0.0258
## 2 1950 Feb 126 1950 Feb 4.84 0.0913
## 3 1950 Mar 141 1950 Mar 4.95 0.112
## 4 1950 Apr 135 1950 Apr 4.91 -0.0435
## 5 1950 May 125 1950 May 4.83 -0.0770
## 6 1950 Jun 149 1950 Jun 5.00 0.176
## # ℹ 13 more variables: SeasonalDiffPassengers <dbl>, Lag_1 <dbl>, Lag_2 <dbl>,
## # Lag_3 <dbl>, Lag_4 <dbl>, Lag_5 <dbl>, Lag_6 <dbl>, Lag_7 <dbl>,
## # Lag_8 <dbl>, Lag_9 <dbl>, Lag_10 <dbl>, Lag_11 <dbl>, Lag_12 <dbl>
# Time series split
ts_control <- trainControl(method = "timeslice",
initialWindow = 60, # pertama 5 tahun (60 bulan) untuk training
horizon = 1, # 1 step ahead
fixedWindow = FALSE,
verboseIter = TRUE)
train_data <- df_supervised[1:(nrow(df_supervised)-2), ]
test_data <- df_supervised[(nrow(df_supervised)-1):nrow(df_supervised), ]
x_train <- train_data %>% select(starts_with("Lag_"))
y_train <- train_data$Number_of_Passengers
x_test <- test_data %>% select(starts_with("Lag_"))
y_test <- test_data$Number_of_Passengers
#SVR
svr_grid <- expand.grid(
sigma = c(0.001,0.01,0.1),
C = c(1,10,100)
)
set.seed(004)
svr_model <- train(
Number_of_Passengers ~ .,
data = cbind(x_train, Number_of_Passengers = y_train),
method = "svmRadial",
trControl = ts_control,
tuneGrid = svr_grid,
preProcess = c("center","scale")
)
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## + Training076: sigma=0.001, C= 1
## - Training076: sigma=0.001, C= 1
## + Training076: sigma=0.010, C= 1
## - Training076: sigma=0.010, C= 1
## + Training076: sigma=0.100, C= 1
## - Training076: sigma=0.100, C= 1
## + Training076: sigma=0.001, C= 10
## - Training076: sigma=0.001, C= 10
## + Training076: sigma=0.010, C= 10
## - Training076: sigma=0.010, C= 10
## + Training076: sigma=0.100, C= 10
## - Training076: sigma=0.100, C= 10
## + Training076: sigma=0.001, C=100
## - Training076: sigma=0.001, C=100
## + Training076: sigma=0.010, C=100
## - Training076: sigma=0.010, C=100
## + Training076: sigma=0.100, C=100
## - Training076: sigma=0.100, C=100
## + Training077: sigma=0.001, C= 1
## - Training077: sigma=0.001, C= 1
## + Training077: sigma=0.010, C= 1
## - Training077: sigma=0.010, C= 1
## + Training077: sigma=0.100, C= 1
## - Training077: sigma=0.100, C= 1
## + Training077: sigma=0.001, C= 10
## - Training077: sigma=0.001, C= 10
## + Training077: sigma=0.010, C= 10
## - Training077: sigma=0.010, C= 10
## + Training077: sigma=0.100, C= 10
## - Training077: sigma=0.100, C= 10
## + Training077: sigma=0.001, C=100
## - Training077: sigma=0.001, C=100
## + Training077: sigma=0.010, C=100
## - Training077: sigma=0.010, C=100
## + Training077: sigma=0.100, C=100
## - Training077: sigma=0.100, C=100
## + Training078: sigma=0.001, C= 1
## - Training078: sigma=0.001, C= 1
## + Training078: sigma=0.010, C= 1
## - Training078: sigma=0.010, C= 1
## + Training078: sigma=0.100, C= 1
## - Training078: sigma=0.100, C= 1
## + Training078: sigma=0.001, C= 10
## - Training078: sigma=0.001, C= 10
## + Training078: sigma=0.010, C= 10
## - Training078: sigma=0.010, C= 10
## + Training078: sigma=0.100, C= 10
## - Training078: sigma=0.100, C= 10
## + Training078: sigma=0.001, C=100
## - Training078: sigma=0.001, C=100
## + Training078: sigma=0.010, C=100
## - Training078: sigma=0.010, C=100
## + Training078: sigma=0.100, C=100
## - Training078: sigma=0.100, C=100
## + Training079: sigma=0.001, C= 1
## - Training079: sigma=0.001, C= 1
## + Training079: sigma=0.010, C= 1
## - Training079: sigma=0.010, C= 1
## + Training079: sigma=0.100, C= 1
## - Training079: sigma=0.100, C= 1
## + Training079: sigma=0.001, C= 10
## - Training079: sigma=0.001, C= 10
## + Training079: sigma=0.010, C= 10
## - Training079: sigma=0.010, C= 10
## + Training079: sigma=0.100, C= 10
## - Training079: sigma=0.100, C= 10
## + Training079: sigma=0.001, C=100
## - Training079: sigma=0.001, C=100
## + Training079: sigma=0.010, C=100
## - Training079: sigma=0.010, C=100
## + Training079: sigma=0.100, C=100
## - Training079: sigma=0.100, C=100
## + Training080: sigma=0.001, C= 1
## - Training080: sigma=0.001, C= 1
## + Training080: sigma=0.010, C= 1
## - Training080: sigma=0.010, C= 1
## + Training080: sigma=0.100, C= 1
## - Training080: sigma=0.100, C= 1
## + Training080: sigma=0.001, C= 10
## - Training080: sigma=0.001, C= 10
## + Training080: sigma=0.010, C= 10
## - Training080: sigma=0.010, C= 10
## + Training080: sigma=0.100, C= 10
## - Training080: sigma=0.100, C= 10
## + Training080: sigma=0.001, C=100
## - Training080: sigma=0.001, C=100
## + Training080: sigma=0.010, C=100
## - Training080: sigma=0.010, C=100
## + Training080: sigma=0.100, C=100
## - Training080: sigma=0.100, C=100
## + Training081: sigma=0.001, C= 1
## - Training081: sigma=0.001, C= 1
## + Training081: sigma=0.010, C= 1
## - Training081: sigma=0.010, C= 1
## + Training081: sigma=0.100, C= 1
## - Training081: sigma=0.100, C= 1
## + Training081: sigma=0.001, C= 10
## - Training081: sigma=0.001, C= 10
## + Training081: sigma=0.010, C= 10
## - Training081: sigma=0.010, C= 10
## + Training081: sigma=0.100, C= 10
## - Training081: sigma=0.100, C= 10
## + Training081: sigma=0.001, C=100
## - Training081: sigma=0.001, C=100
## + Training081: sigma=0.010, C=100
## - Training081: sigma=0.010, C=100
## + Training081: sigma=0.100, C=100
## - Training081: sigma=0.100, C=100
## + Training082: sigma=0.001, C= 1
## - Training082: sigma=0.001, C= 1
## + Training082: sigma=0.010, C= 1
## - Training082: sigma=0.010, C= 1
## + Training082: sigma=0.100, C= 1
## - Training082: sigma=0.100, C= 1
## + Training082: sigma=0.001, C= 10
## - Training082: sigma=0.001, C= 10
## + Training082: sigma=0.010, C= 10
## - Training082: sigma=0.010, C= 10
## + Training082: sigma=0.100, C= 10
## - Training082: sigma=0.100, C= 10
## + Training082: sigma=0.001, C=100
## - Training082: sigma=0.001, C=100
## + Training082: sigma=0.010, C=100
## - Training082: sigma=0.010, C=100
## + Training082: sigma=0.100, C=100
## - Training082: sigma=0.100, C=100
## + Training083: sigma=0.001, C= 1
## - Training083: sigma=0.001, C= 1
## + Training083: sigma=0.010, C= 1
## - Training083: sigma=0.010, C= 1
## + Training083: sigma=0.100, C= 1
## - Training083: sigma=0.100, C= 1
## + Training083: sigma=0.001, C= 10
## - Training083: sigma=0.001, C= 10
## + Training083: sigma=0.010, C= 10
## - Training083: sigma=0.010, C= 10
## + Training083: sigma=0.100, C= 10
## - Training083: sigma=0.100, C= 10
## + Training083: sigma=0.001, C=100
## - Training083: sigma=0.001, C=100
## + Training083: sigma=0.010, C=100
## - Training083: sigma=0.010, C=100
## + Training083: sigma=0.100, C=100
## - Training083: sigma=0.100, C=100
## + Training084: sigma=0.001, C= 1
## - Training084: sigma=0.001, C= 1
## + Training084: sigma=0.010, C= 1
## - Training084: sigma=0.010, C= 1
## + Training084: sigma=0.100, C= 1
## - Training084: sigma=0.100, C= 1
## + Training084: sigma=0.001, C= 10
## - Training084: sigma=0.001, C= 10
## + Training084: sigma=0.010, C= 10
## - Training084: sigma=0.010, C= 10
## + Training084: sigma=0.100, C= 10
## - Training084: sigma=0.100, C= 10
## + Training084: sigma=0.001, C=100
## - Training084: sigma=0.001, C=100
## + Training084: sigma=0.010, C=100
## - Training084: sigma=0.010, C=100
## + Training084: sigma=0.100, C=100
## - Training084: sigma=0.100, C=100
## + Training085: sigma=0.001, C= 1
## - Training085: sigma=0.001, C= 1
## + Training085: sigma=0.010, C= 1
## - Training085: sigma=0.010, C= 1
## + Training085: sigma=0.100, C= 1
## - Training085: sigma=0.100, C= 1
## + Training085: sigma=0.001, C= 10
## - Training085: sigma=0.001, C= 10
## + Training085: sigma=0.010, C= 10
## - Training085: sigma=0.010, C= 10
## + Training085: sigma=0.100, C= 10
## - Training085: sigma=0.100, C= 10
## + Training085: sigma=0.001, C=100
## - Training085: sigma=0.001, C=100
## + Training085: sigma=0.010, C=100
## - Training085: sigma=0.010, C=100
## + Training085: sigma=0.100, C=100
## - Training085: sigma=0.100, C=100
## + Training086: sigma=0.001, C= 1
## - Training086: sigma=0.001, C= 1
## + Training086: sigma=0.010, C= 1
## - Training086: sigma=0.010, C= 1
## + Training086: sigma=0.100, C= 1
## - Training086: sigma=0.100, C= 1
## + Training086: sigma=0.001, C= 10
## - Training086: sigma=0.001, C= 10
## + Training086: sigma=0.010, C= 10
## - Training086: sigma=0.010, C= 10
## + Training086: sigma=0.100, C= 10
## - Training086: sigma=0.100, C= 10
## + Training086: sigma=0.001, C=100
## - Training086: sigma=0.001, C=100
## + Training086: sigma=0.010, C=100
## - Training086: sigma=0.010, C=100
## + Training086: sigma=0.100, C=100
## - Training086: sigma=0.100, C=100
## + Training087: sigma=0.001, C= 1
## - Training087: sigma=0.001, C= 1
## + Training087: sigma=0.010, C= 1
## - Training087: sigma=0.010, C= 1
## + Training087: sigma=0.100, C= 1
## - Training087: sigma=0.100, C= 1
## + Training087: sigma=0.001, C= 10
## - Training087: sigma=0.001, C= 10
## + Training087: sigma=0.010, C= 10
## - Training087: sigma=0.010, C= 10
## + Training087: sigma=0.100, C= 10
## - Training087: sigma=0.100, C= 10
## + Training087: sigma=0.001, C=100
## - Training087: sigma=0.001, C=100
## + Training087: sigma=0.010, C=100
## - Training087: sigma=0.010, C=100
## + Training087: sigma=0.100, C=100
## - Training087: sigma=0.100, C=100
## + Training088: sigma=0.001, C= 1
## - Training088: sigma=0.001, C= 1
## + Training088: sigma=0.010, C= 1
## - Training088: sigma=0.010, C= 1
## + Training088: sigma=0.100, C= 1
## - Training088: sigma=0.100, C= 1
## + Training088: sigma=0.001, C= 10
## - Training088: sigma=0.001, C= 10
## + Training088: sigma=0.010, C= 10
## - Training088: sigma=0.010, C= 10
## + Training088: sigma=0.100, C= 10
## - Training088: sigma=0.100, C= 10
## + Training088: sigma=0.001, C=100
## - Training088: sigma=0.001, C=100
## + Training088: sigma=0.010, C=100
## - Training088: sigma=0.010, C=100
## + Training088: sigma=0.100, C=100
## - Training088: sigma=0.100, C=100
## + Training089: sigma=0.001, C= 1
## - Training089: sigma=0.001, C= 1
## + Training089: sigma=0.010, C= 1
## - Training089: sigma=0.010, C= 1
## + Training089: sigma=0.100, C= 1
## - Training089: sigma=0.100, C= 1
## + Training089: sigma=0.001, C= 10
## - Training089: sigma=0.001, C= 10
## + Training089: sigma=0.010, C= 10
## - Training089: sigma=0.010, C= 10
## + Training089: sigma=0.100, C= 10
## - Training089: sigma=0.100, C= 10
## + Training089: sigma=0.001, C=100
## - Training089: sigma=0.001, C=100
## + Training089: sigma=0.010, C=100
## - Training089: sigma=0.010, C=100
## + Training089: sigma=0.100, C=100
## - Training089: sigma=0.100, C=100
## + Training090: sigma=0.001, C= 1
## - Training090: sigma=0.001, C= 1
## + Training090: sigma=0.010, C= 1
## - Training090: sigma=0.010, C= 1
## + Training090: sigma=0.100, C= 1
## - Training090: sigma=0.100, C= 1
## + Training090: sigma=0.001, C= 10
## - Training090: sigma=0.001, C= 10
## + Training090: sigma=0.010, C= 10
## - Training090: sigma=0.010, C= 10
## + Training090: sigma=0.100, C= 10
## - Training090: sigma=0.100, C= 10
## + Training090: sigma=0.001, C=100
## - Training090: sigma=0.001, C=100
## + Training090: sigma=0.010, C=100
## - Training090: sigma=0.010, C=100
## + Training090: sigma=0.100, C=100
## - Training090: sigma=0.100, C=100
## + Training091: sigma=0.001, C= 1
## - Training091: sigma=0.001, C= 1
## + Training091: sigma=0.010, C= 1
## - Training091: sigma=0.010, C= 1
## + Training091: sigma=0.100, C= 1
## - Training091: sigma=0.100, C= 1
## + Training091: sigma=0.001, C= 10
## - Training091: sigma=0.001, C= 10
## + Training091: sigma=0.010, C= 10
## - Training091: sigma=0.010, C= 10
## + Training091: sigma=0.100, C= 10
## - Training091: sigma=0.100, C= 10
## + Training091: sigma=0.001, C=100
## - Training091: sigma=0.001, C=100
## + Training091: sigma=0.010, C=100
## - Training091: sigma=0.010, C=100
## + Training091: sigma=0.100, C=100
## - Training091: sigma=0.100, C=100
## + Training092: sigma=0.001, C= 1
## - Training092: sigma=0.001, C= 1
## + Training092: sigma=0.010, C= 1
## - Training092: sigma=0.010, C= 1
## + Training092: sigma=0.100, C= 1
## - Training092: sigma=0.100, C= 1
## + Training092: sigma=0.001, C= 10
## - Training092: sigma=0.001, C= 10
## + Training092: sigma=0.010, C= 10
## - Training092: sigma=0.010, C= 10
## + Training092: sigma=0.100, C= 10
## - Training092: sigma=0.100, C= 10
## + Training092: sigma=0.001, C=100
## - Training092: sigma=0.001, C=100
## + Training092: sigma=0.010, C=100
## - Training092: sigma=0.010, C=100
## + Training092: sigma=0.100, C=100
## - Training092: sigma=0.100, C=100
## + Training093: sigma=0.001, C= 1
## - Training093: sigma=0.001, C= 1
## + Training093: sigma=0.010, C= 1
## - Training093: sigma=0.010, C= 1
## + Training093: sigma=0.100, C= 1
## - Training093: sigma=0.100, C= 1
## + Training093: sigma=0.001, C= 10
## - Training093: sigma=0.001, C= 10
## + Training093: sigma=0.010, C= 10
## - Training093: sigma=0.010, C= 10
## + Training093: sigma=0.100, C= 10
## - Training093: sigma=0.100, C= 10
## + Training093: sigma=0.001, C=100
## - Training093: sigma=0.001, C=100
## + Training093: sigma=0.010, C=100
## - Training093: sigma=0.010, C=100
## + Training093: sigma=0.100, C=100
## - Training093: sigma=0.100, C=100
## + Training094: sigma=0.001, C= 1
## - Training094: sigma=0.001, C= 1
## + Training094: sigma=0.010, C= 1
## - Training094: sigma=0.010, C= 1
## + Training094: sigma=0.100, C= 1
## - Training094: sigma=0.100, C= 1
## + Training094: sigma=0.001, C= 10
## - Training094: sigma=0.001, C= 10
## + Training094: sigma=0.010, C= 10
## - Training094: sigma=0.010, C= 10
## + Training094: sigma=0.100, C= 10
## - Training094: sigma=0.100, C= 10
## + Training094: sigma=0.001, C=100
## - Training094: sigma=0.001, C=100
## + Training094: sigma=0.010, C=100
## - Training094: sigma=0.010, C=100
## + Training094: sigma=0.100, C=100
## - Training094: sigma=0.100, C=100
## + Training095: sigma=0.001, C= 1
## - Training095: sigma=0.001, C= 1
## + Training095: sigma=0.010, C= 1
## - Training095: sigma=0.010, C= 1
## + Training095: sigma=0.100, C= 1
## - Training095: sigma=0.100, C= 1
## + Training095: sigma=0.001, C= 10
## - Training095: sigma=0.001, C= 10
## + Training095: sigma=0.010, C= 10
## - Training095: sigma=0.010, C= 10
## + Training095: sigma=0.100, C= 10
## - Training095: sigma=0.100, C= 10
## + Training095: sigma=0.001, C=100
## - Training095: sigma=0.001, C=100
## + Training095: sigma=0.010, C=100
## - Training095: sigma=0.010, C=100
## + Training095: sigma=0.100, C=100
## - Training095: sigma=0.100, C=100
## + Training096: sigma=0.001, C= 1
## - Training096: sigma=0.001, C= 1
## + Training096: sigma=0.010, C= 1
## - Training096: sigma=0.010, C= 1
## + Training096: sigma=0.100, C= 1
## - Training096: sigma=0.100, C= 1
## + Training096: sigma=0.001, C= 10
## - Training096: sigma=0.001, C= 10
## + Training096: sigma=0.010, C= 10
## - Training096: sigma=0.010, C= 10
## + Training096: sigma=0.100, C= 10
## - Training096: sigma=0.100, C= 10
## + Training096: sigma=0.001, C=100
## - Training096: sigma=0.001, C=100
## + Training096: sigma=0.010, C=100
## - Training096: sigma=0.010, C=100
## + Training096: sigma=0.100, C=100
## - Training096: sigma=0.100, C=100
## + Training097: sigma=0.001, C= 1
## - Training097: sigma=0.001, C= 1
## + Training097: sigma=0.010, C= 1
## - Training097: sigma=0.010, C= 1
## + Training097: sigma=0.100, C= 1
## - Training097: sigma=0.100, C= 1
## + Training097: sigma=0.001, C= 10
## - Training097: sigma=0.001, C= 10
## + Training097: sigma=0.010, C= 10
## - Training097: sigma=0.010, C= 10
## + Training097: sigma=0.100, C= 10
## - Training097: sigma=0.100, C= 10
## + Training097: sigma=0.001, C=100
## - Training097: sigma=0.001, C=100
## + Training097: sigma=0.010, C=100
## - Training097: sigma=0.010, C=100
## + Training097: sigma=0.100, C=100
## - Training097: sigma=0.100, C=100
## + Training098: sigma=0.001, C= 1
## - Training098: sigma=0.001, C= 1
## + Training098: sigma=0.010, C= 1
## - Training098: sigma=0.010, C= 1
## + Training098: sigma=0.100, C= 1
## - Training098: sigma=0.100, C= 1
## + Training098: sigma=0.001, C= 10
## - Training098: sigma=0.001, C= 10
## + Training098: sigma=0.010, C= 10
## - Training098: sigma=0.010, C= 10
## + Training098: sigma=0.100, C= 10
## - Training098: sigma=0.100, C= 10
## + Training098: sigma=0.001, C=100
## - Training098: sigma=0.001, C=100
## + Training098: sigma=0.010, C=100
## - Training098: sigma=0.010, C=100
## + Training098: sigma=0.100, C=100
## - Training098: sigma=0.100, C=100
## + Training099: sigma=0.001, C= 1
## - Training099: sigma=0.001, C= 1
## + Training099: sigma=0.010, C= 1
## - Training099: sigma=0.010, C= 1
## + Training099: sigma=0.100, C= 1
## - Training099: sigma=0.100, C= 1
## + Training099: sigma=0.001, C= 10
## - Training099: sigma=0.001, C= 10
## + Training099: sigma=0.010, C= 10
## - Training099: sigma=0.010, C= 10
## + Training099: sigma=0.100, C= 10
## - Training099: sigma=0.100, C= 10
## + Training099: sigma=0.001, C=100
## - Training099: sigma=0.001, C=100
## + Training099: sigma=0.010, C=100
## - Training099: sigma=0.010, C=100
## + Training099: sigma=0.100, C=100
## - Training099: sigma=0.100, C=100
## + Training100: sigma=0.001, C= 1
## - Training100: sigma=0.001, C= 1
## + Training100: sigma=0.010, C= 1
## - Training100: sigma=0.010, C= 1
## + Training100: sigma=0.100, C= 1
## - Training100: sigma=0.100, C= 1
## + Training100: sigma=0.001, C= 10
## - Training100: sigma=0.001, C= 10
## + Training100: sigma=0.010, C= 10
## - Training100: sigma=0.010, C= 10
## + Training100: sigma=0.100, C= 10
## - Training100: sigma=0.100, C= 10
## + Training100: sigma=0.001, C=100
## - Training100: sigma=0.001, C=100
## + Training100: sigma=0.010, C=100
## - Training100: sigma=0.010, C=100
## + Training100: sigma=0.100, C=100
## - Training100: sigma=0.100, C=100
## + Training101: sigma=0.001, C= 1
## - Training101: sigma=0.001, C= 1
## + Training101: sigma=0.010, C= 1
## - Training101: sigma=0.010, C= 1
## + Training101: sigma=0.100, C= 1
## - Training101: sigma=0.100, C= 1
## + Training101: sigma=0.001, C= 10
## - Training101: sigma=0.001, C= 10
## + Training101: sigma=0.010, C= 10
## - Training101: sigma=0.010, C= 10
## + Training101: sigma=0.100, C= 10
## - Training101: sigma=0.100, C= 10
## + Training101: sigma=0.001, C=100
## - Training101: sigma=0.001, C=100
## + Training101: sigma=0.010, C=100
## - Training101: sigma=0.010, C=100
## + Training101: sigma=0.100, C=100
## - Training101: sigma=0.100, C=100
## + Training102: sigma=0.001, C= 1
## - Training102: sigma=0.001, C= 1
## + Training102: sigma=0.010, C= 1
## - Training102: sigma=0.010, C= 1
## + Training102: sigma=0.100, C= 1
## - Training102: sigma=0.100, C= 1
## + Training102: sigma=0.001, C= 10
## - Training102: sigma=0.001, C= 10
## + Training102: sigma=0.010, C= 10
## - Training102: sigma=0.010, C= 10
## + Training102: sigma=0.100, C= 10
## - Training102: sigma=0.100, C= 10
## + Training102: sigma=0.001, C=100
## - Training102: sigma=0.001, C=100
## + Training102: sigma=0.010, C=100
## - Training102: sigma=0.010, C=100
## + Training102: sigma=0.100, C=100
## - Training102: sigma=0.100, C=100
## + Training103: sigma=0.001, C= 1
## - Training103: sigma=0.001, C= 1
## + Training103: sigma=0.010, C= 1
## - Training103: sigma=0.010, C= 1
## + Training103: sigma=0.100, C= 1
## - Training103: sigma=0.100, C= 1
## + Training103: sigma=0.001, C= 10
## - Training103: sigma=0.001, C= 10
## + Training103: sigma=0.010, C= 10
## - Training103: sigma=0.010, C= 10
## + Training103: sigma=0.100, C= 10
## - Training103: sigma=0.100, C= 10
## + Training103: sigma=0.001, C=100
## - Training103: sigma=0.001, C=100
## + Training103: sigma=0.010, C=100
## - Training103: sigma=0.010, C=100
## + Training103: sigma=0.100, C=100
## - Training103: sigma=0.100, C=100
## + Training104: sigma=0.001, C= 1
## - Training104: sigma=0.001, C= 1
## + Training104: sigma=0.010, C= 1
## - Training104: sigma=0.010, C= 1
## + Training104: sigma=0.100, C= 1
## - Training104: sigma=0.100, C= 1
## + Training104: sigma=0.001, C= 10
## - Training104: sigma=0.001, C= 10
## + Training104: sigma=0.010, C= 10
## - Training104: sigma=0.010, C= 10
## + Training104: sigma=0.100, C= 10
## - Training104: sigma=0.100, C= 10
## + Training104: sigma=0.001, C=100
## - Training104: sigma=0.001, C=100
## + Training104: sigma=0.010, C=100
## - Training104: sigma=0.010, C=100
## + Training104: sigma=0.100, C=100
## - Training104: sigma=0.100, C=100
## + Training105: sigma=0.001, C= 1
## - Training105: sigma=0.001, C= 1
## + Training105: sigma=0.010, C= 1
## - Training105: sigma=0.010, C= 1
## + Training105: sigma=0.100, C= 1
## - Training105: sigma=0.100, C= 1
## + Training105: sigma=0.001, C= 10
## - Training105: sigma=0.001, C= 10
## + Training105: sigma=0.010, C= 10
## - Training105: sigma=0.010, C= 10
## + Training105: sigma=0.100, C= 10
## - Training105: sigma=0.100, C= 10
## + Training105: sigma=0.001, C=100
## - Training105: sigma=0.001, C=100
## + Training105: sigma=0.010, C=100
## - Training105: sigma=0.010, C=100
## + Training105: sigma=0.100, C=100
## - Training105: sigma=0.100, C=100
## + Training106: sigma=0.001, C= 1
## - Training106: sigma=0.001, C= 1
## + Training106: sigma=0.010, C= 1
## - Training106: sigma=0.010, C= 1
## + Training106: sigma=0.100, C= 1
## - Training106: sigma=0.100, C= 1
## + Training106: sigma=0.001, C= 10
## - Training106: sigma=0.001, C= 10
## + Training106: sigma=0.010, C= 10
## - Training106: sigma=0.010, C= 10
## + Training106: sigma=0.100, C= 10
## - Training106: sigma=0.100, C= 10
## + Training106: sigma=0.001, C=100
## - Training106: sigma=0.001, C=100
## + Training106: sigma=0.010, C=100
## - Training106: sigma=0.010, C=100
## + Training106: sigma=0.100, C=100
## - Training106: sigma=0.100, C=100
## + Training107: sigma=0.001, C= 1
## - Training107: sigma=0.001, C= 1
## + Training107: sigma=0.010, C= 1
## - Training107: sigma=0.010, C= 1
## + Training107: sigma=0.100, C= 1
## - Training107: sigma=0.100, C= 1
## + Training107: sigma=0.001, C= 10
## - Training107: sigma=0.001, C= 10
## + Training107: sigma=0.010, C= 10
## - Training107: sigma=0.010, C= 10
## + Training107: sigma=0.100, C= 10
## - Training107: sigma=0.100, C= 10
## + Training107: sigma=0.001, C=100
## - Training107: sigma=0.001, C=100
## + Training107: sigma=0.010, C=100
## - Training107: sigma=0.010, C=100
## + Training107: sigma=0.100, C=100
## - Training107: sigma=0.100, C=100
## + Training108: sigma=0.001, C= 1
## - Training108: sigma=0.001, C= 1
## + Training108: sigma=0.010, C= 1
## - Training108: sigma=0.010, C= 1
## + Training108: sigma=0.100, C= 1
## - Training108: sigma=0.100, C= 1
## + Training108: sigma=0.001, C= 10
## - Training108: sigma=0.001, C= 10
## + Training108: sigma=0.010, C= 10
## - Training108: sigma=0.010, C= 10
## + Training108: sigma=0.100, C= 10
## - Training108: sigma=0.100, C= 10
## + Training108: sigma=0.001, C=100
## - Training108: sigma=0.001, C=100
## + Training108: sigma=0.010, C=100
## - Training108: sigma=0.010, C=100
## + Training108: sigma=0.100, C=100
## - Training108: sigma=0.100, C=100
## + Training109: sigma=0.001, C= 1
## - Training109: sigma=0.001, C= 1
## + Training109: sigma=0.010, C= 1
## - Training109: sigma=0.010, C= 1
## + Training109: sigma=0.100, C= 1
## - Training109: sigma=0.100, C= 1
## + Training109: sigma=0.001, C= 10
## - Training109: sigma=0.001, C= 10
## + Training109: sigma=0.010, C= 10
## - Training109: sigma=0.010, C= 10
## + Training109: sigma=0.100, C= 10
## - Training109: sigma=0.100, C= 10
## + Training109: sigma=0.001, C=100
## - Training109: sigma=0.001, C=100
## + Training109: sigma=0.010, C=100
## - Training109: sigma=0.010, C=100
## + Training109: sigma=0.100, C=100
## - Training109: sigma=0.100, C=100
## + Training110: sigma=0.001, C= 1
## - Training110: sigma=0.001, C= 1
## + Training110: sigma=0.010, C= 1
## - Training110: sigma=0.010, C= 1
## + Training110: sigma=0.100, C= 1
## - Training110: sigma=0.100, C= 1
## + Training110: sigma=0.001, C= 10
## - Training110: sigma=0.001, C= 10
## + Training110: sigma=0.010, C= 10
## - Training110: sigma=0.010, C= 10
## + Training110: sigma=0.100, C= 10
## - Training110: sigma=0.100, C= 10
## + Training110: sigma=0.001, C=100
## - Training110: sigma=0.001, C=100
## + Training110: sigma=0.010, C=100
## - Training110: sigma=0.010, C=100
## + Training110: sigma=0.100, C=100
## - Training110: sigma=0.100, C=100
## + Training111: sigma=0.001, C= 1
## - Training111: sigma=0.001, C= 1
## + Training111: sigma=0.010, C= 1
## - Training111: sigma=0.010, C= 1
## + Training111: sigma=0.100, C= 1
## - Training111: sigma=0.100, C= 1
## + Training111: sigma=0.001, C= 10
## - Training111: sigma=0.001, C= 10
## + Training111: sigma=0.010, C= 10
## - Training111: sigma=0.010, C= 10
## + Training111: sigma=0.100, C= 10
## - Training111: sigma=0.100, C= 10
## + Training111: sigma=0.001, C=100
## - Training111: sigma=0.001, C=100
## + Training111: sigma=0.010, C=100
## - Training111: sigma=0.010, C=100
## + Training111: sigma=0.100, C=100
## - Training111: sigma=0.100, C=100
## + Training112: sigma=0.001, C= 1
## - Training112: sigma=0.001, C= 1
## + Training112: sigma=0.010, C= 1
## - Training112: sigma=0.010, C= 1
## + Training112: sigma=0.100, C= 1
## - Training112: sigma=0.100, C= 1
## + Training112: sigma=0.001, C= 10
## - Training112: sigma=0.001, C= 10
## + Training112: sigma=0.010, C= 10
## - Training112: sigma=0.010, C= 10
## + Training112: sigma=0.100, C= 10
## - Training112: sigma=0.100, C= 10
## + Training112: sigma=0.001, C=100
## - Training112: sigma=0.001, C=100
## + Training112: sigma=0.010, C=100
## - Training112: sigma=0.010, C=100
## + Training112: sigma=0.100, C=100
## - Training112: sigma=0.100, C=100
## + Training113: sigma=0.001, C= 1
## - Training113: sigma=0.001, C= 1
## + Training113: sigma=0.010, C= 1
## - Training113: sigma=0.010, C= 1
## + Training113: sigma=0.100, C= 1
## - Training113: sigma=0.100, C= 1
## + Training113: sigma=0.001, C= 10
## - Training113: sigma=0.001, C= 10
## + Training113: sigma=0.010, C= 10
## - Training113: sigma=0.010, C= 10
## + Training113: sigma=0.100, C= 10
## - Training113: sigma=0.100, C= 10
## + Training113: sigma=0.001, C=100
## - Training113: sigma=0.001, C=100
## + Training113: sigma=0.010, C=100
## - Training113: sigma=0.010, C=100
## + Training113: sigma=0.100, C=100
## - Training113: sigma=0.100, C=100
## + Training114: sigma=0.001, C= 1
## - Training114: sigma=0.001, C= 1
## + Training114: sigma=0.010, C= 1
## - Training114: sigma=0.010, C= 1
## + Training114: sigma=0.100, C= 1
## - Training114: sigma=0.100, C= 1
## + Training114: sigma=0.001, C= 10
## - Training114: sigma=0.001, C= 10
## + Training114: sigma=0.010, C= 10
## - Training114: sigma=0.010, C= 10
## + Training114: sigma=0.100, C= 10
## - Training114: sigma=0.100, C= 10
## + Training114: sigma=0.001, C=100
## - Training114: sigma=0.001, C=100
## + Training114: sigma=0.010, C=100
## - Training114: sigma=0.010, C=100
## + Training114: sigma=0.100, C=100
## - Training114: sigma=0.100, C=100
## + Training115: sigma=0.001, C= 1
## - Training115: sigma=0.001, C= 1
## + Training115: sigma=0.010, C= 1
## - Training115: sigma=0.010, C= 1
## + Training115: sigma=0.100, C= 1
## - Training115: sigma=0.100, C= 1
## + Training115: sigma=0.001, C= 10
## - Training115: sigma=0.001, C= 10
## + Training115: sigma=0.010, C= 10
## - Training115: sigma=0.010, C= 10
## + Training115: sigma=0.100, C= 10
## - Training115: sigma=0.100, C= 10
## + Training115: sigma=0.001, C=100
## - Training115: sigma=0.001, C=100
## + Training115: sigma=0.010, C=100
## - Training115: sigma=0.010, C=100
## + Training115: sigma=0.100, C=100
## - Training115: sigma=0.100, C=100
## + Training116: sigma=0.001, C= 1
## - Training116: sigma=0.001, C= 1
## + Training116: sigma=0.010, C= 1
## - Training116: sigma=0.010, C= 1
## + Training116: sigma=0.100, C= 1
## - Training116: sigma=0.100, C= 1
## + Training116: sigma=0.001, C= 10
## - Training116: sigma=0.001, C= 10
## + Training116: sigma=0.010, C= 10
## - Training116: sigma=0.010, C= 10
## + Training116: sigma=0.100, C= 10
## - Training116: sigma=0.100, C= 10
## + Training116: sigma=0.001, C=100
## - Training116: sigma=0.001, C=100
## + Training116: sigma=0.010, C=100
## - Training116: sigma=0.010, C=100
## + Training116: sigma=0.100, C=100
## - Training116: sigma=0.100, C=100
## + Training117: sigma=0.001, C= 1
## - Training117: sigma=0.001, C= 1
## + Training117: sigma=0.010, C= 1
## - Training117: sigma=0.010, C= 1
## + Training117: sigma=0.100, C= 1
## - Training117: sigma=0.100, C= 1
## + Training117: sigma=0.001, C= 10
## - Training117: sigma=0.001, C= 10
## + Training117: sigma=0.010, C= 10
## - Training117: sigma=0.010, C= 10
## + Training117: sigma=0.100, C= 10
## - Training117: sigma=0.100, C= 10
## + Training117: sigma=0.001, C=100
## - Training117: sigma=0.001, C=100
## + Training117: sigma=0.010, C=100
## - Training117: sigma=0.010, C=100
## + Training117: sigma=0.100, C=100
## - Training117: sigma=0.100, C=100
## + Training118: sigma=0.001, C= 1
## - Training118: sigma=0.001, C= 1
## + Training118: sigma=0.010, C= 1
## - Training118: sigma=0.010, C= 1
## + Training118: sigma=0.100, C= 1
## - Training118: sigma=0.100, C= 1
## + Training118: sigma=0.001, C= 10
## - Training118: sigma=0.001, C= 10
## + Training118: sigma=0.010, C= 10
## - Training118: sigma=0.010, C= 10
## + Training118: sigma=0.100, C= 10
## - Training118: sigma=0.100, C= 10
## + Training118: sigma=0.001, C=100
## - Training118: sigma=0.001, C=100
## + Training118: sigma=0.010, C=100
## - Training118: sigma=0.010, C=100
## + Training118: sigma=0.100, C=100
## - Training118: sigma=0.100, C=100
## + Training119: sigma=0.001, C= 1
## - Training119: sigma=0.001, C= 1
## + Training119: sigma=0.010, C= 1
## - Training119: sigma=0.010, C= 1
## + Training119: sigma=0.100, C= 1
## - Training119: sigma=0.100, C= 1
## + Training119: sigma=0.001, C= 10
## - Training119: sigma=0.001, C= 10
## + Training119: sigma=0.010, C= 10
## - Training119: sigma=0.010, C= 10
## + Training119: sigma=0.100, C= 10
## - Training119: sigma=0.100, C= 10
## + Training119: sigma=0.001, C=100
## - Training119: sigma=0.001, C=100
## + Training119: sigma=0.010, C=100
## - Training119: sigma=0.010, C=100
## + Training119: sigma=0.100, C=100
## - Training119: sigma=0.100, C=100
## + Training120: sigma=0.001, C= 1
## - Training120: sigma=0.001, C= 1
## + Training120: sigma=0.010, C= 1
## - Training120: sigma=0.010, C= 1
## + Training120: sigma=0.100, C= 1
## - Training120: sigma=0.100, C= 1
## + Training120: sigma=0.001, C= 10
## - Training120: sigma=0.001, C= 10
## + Training120: sigma=0.010, C= 10
## - Training120: sigma=0.010, C= 10
## + Training120: sigma=0.100, C= 10
## - Training120: sigma=0.100, C= 10
## + Training120: sigma=0.001, C=100
## - Training120: sigma=0.001, C=100
## + Training120: sigma=0.010, C=100
## - Training120: sigma=0.010, C=100
## + Training120: sigma=0.100, C=100
## - Training120: sigma=0.100, C=100
## + Training121: sigma=0.001, C= 1
## - Training121: sigma=0.001, C= 1
## + Training121: sigma=0.010, C= 1
## - Training121: sigma=0.010, C= 1
## + Training121: sigma=0.100, C= 1
## - Training121: sigma=0.100, C= 1
## + Training121: sigma=0.001, C= 10
## - Training121: sigma=0.001, C= 10
## + Training121: sigma=0.010, C= 10
## - Training121: sigma=0.010, C= 10
## + Training121: sigma=0.100, C= 10
## - Training121: sigma=0.100, C= 10
## + Training121: sigma=0.001, C=100
## - Training121: sigma=0.001, C=100
## + Training121: sigma=0.010, C=100
## - Training121: sigma=0.010, C=100
## + Training121: sigma=0.100, C=100
## - Training121: sigma=0.100, C=100
## + Training122: sigma=0.001, C= 1
## - Training122: sigma=0.001, C= 1
## + Training122: sigma=0.010, C= 1
## - Training122: sigma=0.010, C= 1
## + Training122: sigma=0.100, C= 1
## - Training122: sigma=0.100, C= 1
## + Training122: sigma=0.001, C= 10
## - Training122: sigma=0.001, C= 10
## + Training122: sigma=0.010, C= 10
## - Training122: sigma=0.010, C= 10
## + Training122: sigma=0.100, C= 10
## - Training122: sigma=0.100, C= 10
## + Training122: sigma=0.001, C=100
## - Training122: sigma=0.001, C=100
## + Training122: sigma=0.010, C=100
## - Training122: sigma=0.010, C=100
## + Training122: sigma=0.100, C=100
## - Training122: sigma=0.100, C=100
## + Training123: sigma=0.001, C= 1
## - Training123: sigma=0.001, C= 1
## + Training123: sigma=0.010, C= 1
## - Training123: sigma=0.010, C= 1
## + Training123: sigma=0.100, C= 1
## - Training123: sigma=0.100, C= 1
## + Training123: sigma=0.001, C= 10
## - Training123: sigma=0.001, C= 10
## + Training123: sigma=0.010, C= 10
## - Training123: sigma=0.010, C= 10
## + Training123: sigma=0.100, C= 10
## - Training123: sigma=0.100, C= 10
## + Training123: sigma=0.001, C=100
## - Training123: sigma=0.001, C=100
## + Training123: sigma=0.010, C=100
## - Training123: sigma=0.010, C=100
## + Training123: sigma=0.100, C=100
## - Training123: sigma=0.100, C=100
## + Training124: sigma=0.001, C= 1
## - Training124: sigma=0.001, C= 1
## + Training124: sigma=0.010, C= 1
## - Training124: sigma=0.010, C= 1
## + Training124: sigma=0.100, C= 1
## - Training124: sigma=0.100, C= 1
## + Training124: sigma=0.001, C= 10
## - Training124: sigma=0.001, C= 10
## + Training124: sigma=0.010, C= 10
## - Training124: sigma=0.010, C= 10
## + Training124: sigma=0.100, C= 10
## - Training124: sigma=0.100, C= 10
## + Training124: sigma=0.001, C=100
## - Training124: sigma=0.001, C=100
## + Training124: sigma=0.010, C=100
## - Training124: sigma=0.010, C=100
## + Training124: sigma=0.100, C=100
## - Training124: sigma=0.100, C=100
## + Training125: sigma=0.001, C= 1
## - Training125: sigma=0.001, C= 1
## + Training125: sigma=0.010, C= 1
## - Training125: sigma=0.010, C= 1
## + Training125: sigma=0.100, C= 1
## - Training125: sigma=0.100, C= 1
## + Training125: sigma=0.001, C= 10
## - Training125: sigma=0.001, C= 10
## + Training125: sigma=0.010, C= 10
## - Training125: sigma=0.010, C= 10
## + Training125: sigma=0.100, C= 10
## - Training125: sigma=0.100, C= 10
## + Training125: sigma=0.001, C=100
## - Training125: sigma=0.001, C=100
## + Training125: sigma=0.010, C=100
## - Training125: sigma=0.010, C=100
## + Training125: sigma=0.100, C=100
## - Training125: sigma=0.100, C=100
## + Training126: sigma=0.001, C= 1
## - Training126: sigma=0.001, C= 1
## + Training126: sigma=0.010, C= 1
## - Training126: sigma=0.010, C= 1
## + Training126: sigma=0.100, C= 1
## - Training126: sigma=0.100, C= 1
## + Training126: sigma=0.001, C= 10
## - Training126: sigma=0.001, C= 10
## + Training126: sigma=0.010, C= 10
## - Training126: sigma=0.010, C= 10
## + Training126: sigma=0.100, C= 10
## - Training126: sigma=0.100, C= 10
## + Training126: sigma=0.001, C=100
## - Training126: sigma=0.001, C=100
## + Training126: sigma=0.010, C=100
## - Training126: sigma=0.010, C=100
## + Training126: sigma=0.100, C=100
## - Training126: sigma=0.100, C=100
## + Training127: sigma=0.001, C= 1
## - Training127: sigma=0.001, C= 1
## + Training127: sigma=0.010, C= 1
## - Training127: sigma=0.010, C= 1
## + Training127: sigma=0.100, C= 1
## - Training127: sigma=0.100, C= 1
## + Training127: sigma=0.001, C= 10
## - Training127: sigma=0.001, C= 10
## + Training127: sigma=0.010, C= 10
## - Training127: sigma=0.010, C= 10
## + Training127: sigma=0.100, C= 10
## - Training127: sigma=0.100, C= 10
## + Training127: sigma=0.001, C=100
## - Training127: sigma=0.001, C=100
## + Training127: sigma=0.010, C=100
## - Training127: sigma=0.010, C=100
## + Training127: sigma=0.100, C=100
## - Training127: sigma=0.100, C=100
## + Training128: sigma=0.001, C= 1
## - Training128: sigma=0.001, C= 1
## + Training128: sigma=0.010, C= 1
## - Training128: sigma=0.010, C= 1
## + Training128: sigma=0.100, C= 1
## - Training128: sigma=0.100, C= 1
## + Training128: sigma=0.001, C= 10
## - Training128: sigma=0.001, C= 10
## + Training128: sigma=0.010, C= 10
## - Training128: sigma=0.010, C= 10
## + Training128: sigma=0.100, C= 10
## - Training128: sigma=0.100, C= 10
## + Training128: sigma=0.001, C=100
## - Training128: sigma=0.001, C=100
## + Training128: sigma=0.010, C=100
## - Training128: sigma=0.010, C=100
## + Training128: sigma=0.100, C=100
## - Training128: sigma=0.100, C=100
## + Training129: sigma=0.001, C= 1
## - Training129: sigma=0.001, C= 1
## + Training129: sigma=0.010, C= 1
## - Training129: sigma=0.010, C= 1
## + Training129: sigma=0.100, C= 1
## - Training129: sigma=0.100, C= 1
## + Training129: sigma=0.001, C= 10
## - Training129: sigma=0.001, C= 10
## + Training129: sigma=0.010, C= 10
## - Training129: sigma=0.010, C= 10
## + Training129: sigma=0.100, C= 10
## - Training129: sigma=0.100, C= 10
## + Training129: sigma=0.001, C=100
## - Training129: sigma=0.001, C=100
## + Training129: sigma=0.010, C=100
## - Training129: sigma=0.010, C=100
## + Training129: sigma=0.100, C=100
## - Training129: sigma=0.100, C=100
## Warning in nominalTrainWorkflow(x = x, y = y, wts = weights, info = trainInfo,
## : There were missing values in resampled performance measures.
## Aggregating results
## Selecting tuning parameters
## Fitting sigma = 0.001, C = 100 on full training set
#BAGGING
bag_model <- train(
Number_of_Passengers ~ .,
data = cbind(x_train, Number_of_Passengers = y_train),
method = "rf",
trControl = ts_control,
tuneGrid = data.frame(mtry=ncol(x_train)), # semua feature
ntree = 023
)
## + Training060: mtry=12
## - Training060: mtry=12
## + Training061: mtry=12
## - Training061: mtry=12
## + Training062: mtry=12
## - Training062: mtry=12
## + Training063: mtry=12
## - Training063: mtry=12
## + Training064: mtry=12
## - Training064: mtry=12
## + Training065: mtry=12
## - Training065: mtry=12
## + Training066: mtry=12
## - Training066: mtry=12
## + Training067: mtry=12
## - Training067: mtry=12
## + Training068: mtry=12
## - Training068: mtry=12
## + Training069: mtry=12
## - Training069: mtry=12
## + Training070: mtry=12
## - Training070: mtry=12
## + Training071: mtry=12
## - Training071: mtry=12
## + Training072: mtry=12
## - Training072: mtry=12
## + Training073: mtry=12
## - Training073: mtry=12
## + Training074: mtry=12
## - Training074: mtry=12
## + Training075: mtry=12
## - Training075: mtry=12
## + Training076: mtry=12
## - Training076: mtry=12
## + Training077: mtry=12
## - Training077: mtry=12
## + Training078: mtry=12
## - Training078: mtry=12
## + Training079: mtry=12
## - Training079: mtry=12
## + Training080: mtry=12
## - Training080: mtry=12
## + Training081: mtry=12
## - Training081: mtry=12
## + Training082: mtry=12
## - Training082: mtry=12
## + Training083: mtry=12
## - Training083: mtry=12
## + Training084: mtry=12
## - Training084: mtry=12
## + Training085: mtry=12
## - Training085: mtry=12
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## - Training129: mtry=12
## Warning in nominalTrainWorkflow(x = x, y = y, wts = weights, info = trainInfo,
## : There were missing values in resampled performance measures.
## Aggregating results
## Fitting final model on full training set
#BOOSTING
xgb_grid <- expand.grid(
nrounds = c(50,100),
max_depth = c(2,3),
eta = c(0.1,0.3),
gamma = 0,
colsample_bytree = 1,
min_child_weight = 1,
subsample = 1
)
xgb_model <- train(
Number_of_Passengers ~ .,
data = cbind(x_train, Number_of_Passengers = y_train),
method = "xgbTree",
trControl = ts_control,
tuneGrid = xgb_grid,
verbose = FALSE
)
## + Training060: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:41] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training060: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training060: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:41] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training060: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training060: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training060: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training060: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training060: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training061: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training061: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training061: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training061: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training061: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training061: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training061: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training061: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training062: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training062: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training062: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training062: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training062: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training062: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training062: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training062: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training063: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training063: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training063: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training063: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training063: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training063: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training063: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training063: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training064: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training064: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training064: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training064: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training064: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training064: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training064: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training064: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training065: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training065: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training065: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training065: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training065: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training065: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training065: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training065: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training066: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training066: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training066: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training066: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training066: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training066: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training066: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training066: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training067: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training067: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training067: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training067: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training067: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training067: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training067: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training067: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training068: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training068: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training068: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training068: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training068: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training068: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training068: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training068: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training069: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training069: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training069: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training069: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training069: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training069: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training069: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training069: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training070: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training070: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training070: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training070: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training070: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training070: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training070: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training070: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training071: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training071: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training071: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training071: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training071: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training071: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training071: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training071: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training072: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training072: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training072: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training072: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training072: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training072: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training072: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training072: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training073: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training073: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training073: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training073: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training073: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training073: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training073: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training073: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training074: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training074: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training074: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training074: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training074: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training074: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training074: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training074: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training075: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training075: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training075: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training075: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training075: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training075: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training075: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training075: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training076: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training076: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training076: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training076: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training076: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training076: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training076: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training076: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training077: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training077: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training077: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training077: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training077: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training077: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training077: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training077: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training078: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training078: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training078: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training078: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training078: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training078: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training078: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training078: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training079: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training079: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training079: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training079: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training079: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training079: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training079: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training079: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training080: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training080: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training080: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training080: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training080: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training080: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training080: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training080: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training081: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training081: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training081: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training081: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training081: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training081: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training081: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training081: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training082: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training082: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training082: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training082: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training082: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training082: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training082: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training082: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training083: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training083: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training083: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training083: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training083: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training083: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training083: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training083: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training084: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training084: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training084: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training084: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training084: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training084: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training084: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training084: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training085: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training085: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training085: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training085: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training085: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training085: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training085: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training085: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training086: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training086: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training086: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training086: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training086: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training086: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training086: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training086: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training087: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training087: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training087: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training087: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training087: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training087: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training087: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training087: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training088: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training088: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training088: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training088: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training088: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training088: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training088: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training088: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training089: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training089: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training089: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training089: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training089: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training089: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training089: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training089: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training090: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training090: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training090: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training090: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training090: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training090: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training090: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training090: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training091: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training091: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training091: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training091: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training091: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training091: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training091: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training091: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training092: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training092: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training092: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training092: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training092: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training092: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training092: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training092: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training093: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training093: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training093: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training093: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training093: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training093: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training093: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training093: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training094: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training094: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training094: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training094: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training094: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training094: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training094: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training094: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training095: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training095: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training095: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training095: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training095: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training095: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training095: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training095: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training096: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training096: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training096: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training096: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training096: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training096: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training096: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training096: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training097: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training097: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training097: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training097: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training097: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training097: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training097: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training097: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training098: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training098: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training098: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training098: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training098: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training098: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training098: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training098: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training099: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training099: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training099: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training099: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training099: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training099: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training099: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training099: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training100: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training100: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training100: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training100: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training100: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training100: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training100: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training100: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training101: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training101: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training101: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training101: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training101: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training101: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training101: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training101: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training102: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training102: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training102: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training102: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training102: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training102: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training102: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training102: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training103: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training103: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training103: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training103: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training103: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training103: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training103: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training103: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training104: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training104: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training104: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training104: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training104: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training104: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training104: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training104: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training105: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training105: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training105: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training105: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training105: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training105: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training105: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training105: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training106: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training106: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training106: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training106: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training106: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training106: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training106: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training106: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training107: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training107: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training107: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training107: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training107: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training107: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training107: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training107: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training108: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training108: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training108: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training108: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training108: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training108: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training108: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training108: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training109: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training109: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training109: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training109: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training109: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training109: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training109: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training109: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training110: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training110: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training110: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training110: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training110: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training110: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training110: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training110: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training111: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training111: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training111: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training111: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training111: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training111: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training111: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training111: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training112: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training112: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training112: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training112: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training112: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training112: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training112: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training112: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training113: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training113: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training113: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training113: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training113: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training113: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training113: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training113: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training114: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training114: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training114: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training114: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training114: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training114: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training114: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training114: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training115: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training115: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training115: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training115: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training115: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training115: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training115: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training115: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training116: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training116: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training116: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training116: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training116: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training116: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training116: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training116: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training117: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training117: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training117: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training117: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training117: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training117: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training117: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training117: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training118: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training118: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training118: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training118: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training118: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training118: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training118: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training118: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training119: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training119: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training119: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training119: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training119: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training119: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training119: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training119: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training120: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training120: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training120: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training120: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training120: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training120: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training120: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training120: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training121: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training121: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training121: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training121: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training121: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training121: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training121: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training121: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training122: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training122: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training122: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training122: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training122: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training122: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training122: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training122: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training123: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training123: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training123: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training123: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training123: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training123: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training123: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training123: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training124: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training124: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training124: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training124: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training124: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training124: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training124: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training124: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training125: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training125: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training125: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training125: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training125: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training125: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training125: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training125: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training126: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training126: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training126: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training126: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training126: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training126: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training126: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training126: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training127: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training127: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training127: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training127: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training127: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:02:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training127: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training127: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:03:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training127: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training128: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:03:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training128: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training128: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:03:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training128: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training128: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:03:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training128: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training128: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:03:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training128: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training129: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:03:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training129: eta=0.1, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training129: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:03:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training129: eta=0.1, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training129: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:03:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training129: eta=0.3, max_depth=2, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## + Training129: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## [20:03:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## - Training129: eta=0.3, max_depth=3, gamma=0, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=100
## Warning in nominalTrainWorkflow(x = x, y = y, wts = weights, info = trainInfo,
## : There were missing values in resampled performance measures.
## Aggregating results
## Selecting tuning parameters
## Fitting nrounds = 100, max_depth = 3, eta = 0.3, gamma = 0, colsample_bytree = 1, min_child_weight = 1, subsample = 1 on full training set
#RF
rf_grid <- expand.grid(mtry = c(2,4,6,8,12))
rf_model <- train(
Number_of_Passengers ~ .,
data = cbind(x_train, Number_of_Passengers = y_train),
method = "rf",
trControl = ts_control,
tuneGrid = rf_grid,
ntree = 23
)
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## - Training121: mtry= 6
## + Training121: mtry= 8
## - Training121: mtry= 8
## + Training121: mtry=12
## - Training121: mtry=12
## + Training122: mtry= 2
## - Training122: mtry= 2
## + Training122: mtry= 4
## - Training122: mtry= 4
## + Training122: mtry= 6
## - Training122: mtry= 6
## + Training122: mtry= 8
## - Training122: mtry= 8
## + Training122: mtry=12
## - Training122: mtry=12
## + Training123: mtry= 2
## - Training123: mtry= 2
## + Training123: mtry= 4
## - Training123: mtry= 4
## + Training123: mtry= 6
## - Training123: mtry= 6
## + Training123: mtry= 8
## - Training123: mtry= 8
## + Training123: mtry=12
## - Training123: mtry=12
## + Training124: mtry= 2
## - Training124: mtry= 2
## + Training124: mtry= 4
## - Training124: mtry= 4
## + Training124: mtry= 6
## - Training124: mtry= 6
## + Training124: mtry= 8
## - Training124: mtry= 8
## + Training124: mtry=12
## - Training124: mtry=12
## + Training125: mtry= 2
## - Training125: mtry= 2
## + Training125: mtry= 4
## - Training125: mtry= 4
## + Training125: mtry= 6
## - Training125: mtry= 6
## + Training125: mtry= 8
## - Training125: mtry= 8
## + Training125: mtry=12
## - Training125: mtry=12
## + Training126: mtry= 2
## - Training126: mtry= 2
## + Training126: mtry= 4
## - Training126: mtry= 4
## + Training126: mtry= 6
## - Training126: mtry= 6
## + Training126: mtry= 8
## - Training126: mtry= 8
## + Training126: mtry=12
## - Training126: mtry=12
## + Training127: mtry= 2
## - Training127: mtry= 2
## + Training127: mtry= 4
## - Training127: mtry= 4
## + Training127: mtry= 6
## - Training127: mtry= 6
## + Training127: mtry= 8
## - Training127: mtry= 8
## + Training127: mtry=12
## - Training127: mtry=12
## + Training128: mtry= 2
## - Training128: mtry= 2
## + Training128: mtry= 4
## - Training128: mtry= 4
## + Training128: mtry= 6
## - Training128: mtry= 6
## + Training128: mtry= 8
## - Training128: mtry= 8
## + Training128: mtry=12
## - Training128: mtry=12
## + Training129: mtry= 2
## - Training129: mtry= 2
## + Training129: mtry= 4
## - Training129: mtry= 4
## + Training129: mtry= 6
## - Training129: mtry= 6
## + Training129: mtry= 8
## - Training129: mtry= 8
## + Training129: mtry=12
## - Training129: mtry=12
## Warning in nominalTrainWorkflow(x = x, y = y, wts = weights, info = trainInfo,
## : There were missing values in resampled performance measures.
## Aggregating results
## Selecting tuning parameters
## Fitting mtry = 8 on full training set
#prediksi test set
pred_test <- data.frame(
SVR = predict(svr_model, newdata=x_test),
Bagging = predict(bag_model, newdata=x_test),
XGBoost = predict(xgb_model, newdata=x_test),
RandomForest = predict(rf_model, newdata=x_test),
Actual = y_test
)
#evaluasi
eval_metrics <- data.frame(
Model = c("SVR","Bagging","XGBoost","RandomForest"),
RMSE = c(
rmse(pred_test$Actual, pred_test$SVR),
rmse(pred_test$Actual, pred_test$Bagging),
rmse(pred_test$Actual, pred_test$XGBoost),
rmse(pred_test$Actual, pred_test$RandomForest)
),
MAPE = c(
mape(pred_test$Actual, pred_test$SVR),
mape(pred_test$Actual, pred_test$Bagging),
mape(pred_test$Actual, pred_test$XGBoost),
mape(pred_test$Actual, pred_test$RandomForest)
)
)
eval_metrics
## Model RMSE MAPE
## 1 SVR 19.29441 0.04018140
## 2 Bagging 31.43932 0.06005040
## 3 XGBoost 46.81822 0.10779023
## 4 RandomForest 39.57746 0.08490507
best_model_name <- eval_metrics$Model[which.min(eval_metrics$RMSE)]
best_model_name
## [1] "SVR"
#prediksi seluruh data historis
n <- nrow(df_supervised)
lags <- 12
#Simpan hasil prediksi historis
pred_hist <- numeric(n - lags)
for (i in (lags+1):n) {
# buat lag features
lag_values <- df_supervised$Number_of_Passengers[(i-lags):(i-1)]
new_lag <- as.data.frame(t(lag_values))
colnames(new_lag) <- paste0("Lag_", 1:lags)
# prediksi
pred_hist[i - lags] <- predict(svr_model, newdata = new_lag)
}
#simpan ke dataframe
pred_hist_df <- data.frame(
Date = df_supervised$Date[(lags+1):n],
Predicted = pred_hist
)
#prediksi 2 bulan kedepan
last_data <- tail(df_supervised$Number_of_Passengers, lags)
#bulan ke-1
new_lag1 <- as.data.frame(t(last_data))
colnames(new_lag1) <- paste0("Lag_", 1:lags)
pred_month1 <- predict(svr_model, newdata = new_lag1)
#bulan ke-2
new_lag2_values <- c(last_data[2:lags], pred_month1)
new_lag2 <- as.data.frame(t(new_lag2_values))
colnames(new_lag2) <- paste0("Lag_", 1:lags)
pred_month2 <- predict(svr_model, newdata = new_lag2)
#tanggal prediksi
last_month <- max(df_supervised$Date)
future_dates <- last_month + 1:2
pred_future_df <- data.frame(
Date = future_dates,
Predicted = c(pred_month1, pred_month2)
)
#gabungkan
plot_data <- rbind(
data.frame(
Date = df_supervised$Date,
Number_of_Passengers = df_supervised$Number_of_Passengers,
Type = "Actual"
),
data.frame(
Date = pred_hist_df$Date,
Number_of_Passengers = pred_hist_df$Predicted,
Type = "Predicted"
),
data.frame(
Date = pred_future_df$Date,
Number_of_Passengers = pred_future_df$Predicted,
Type = "Forecast"
)
)
#plot
ggplot(plot_data, aes(x = Date, y = Number_of_Passengers, color = Type)) +
geom_line(size = 1) +
geom_point(data = subset(plot_data, Type %in% c("Predicted","Forecast")), size = 2) +
labs(
title = "SVR Forecast: Actual vs Predicted + 2-Month Ahead",
x = "Date",
y = "Number of Passengers"
) +
scale_color_manual(values = c("Actual" = "blue", "Predicted" = "green", "Forecast" = "red")) +
theme_minimal()
## Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
## ℹ Please use `linewidth` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
