Prediksi Curah Hujan di Australia Menggunakan Decision Tree
Moh. Ainur Rohman dan Prof. Dr. Suhartono, M.Kom.
UIN Maulana Malik Ibrahim Malang
Magister Informatika
26 November 2021
Decision tree (pohon keputusan) kerap kali dipakai untuk mengklasifikasikan suatu masalah dan menemukan solusi akhir yang digambarkan ke dalam bentuk pohon. Decision tree dapat dengan mudah diubah ke aturan konversi, dapat dilakukan secara otomatis dengan program komputer. Sebenarnya algoritma machine learning dapat mengekstraksi pohon keputusan secara otomatis dan mengkonversinya ke rule-based. Definisi decision tree adalah pohon yang ada dalam analisa pemecahan masalah, pemetaan mengenai alternatif-alternatif pemecahan masalah yang dapat diambil dari masalah tersebut. Simpul ke akar ke simpul daun digunakan memprediksi class dalam penelusuran rule pada decision tree [1][2]. Berikut persamaan decision tree:
Dimana:
S = Himpunan kasus
n = jumlah partisi S
Pi = proporsi Si terhadap S
menghitung nilai gain menggunakan formula sebagai berikut:
Dimana:
S = Himpunan kasus
A = Fitur
n = Jumlah partisi atribut A
|Si| = Proporsi Si terhadap S
|S| = Jumlah kasus dalam S
Pada materi kali ini penerapan algoritma decision tree diterapkan pada prediksi curah hujan di Australia dan untuk dataset dari kaggle user “Joe Young”
Import Library
library(dplyr) #Data preprocessing##
## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, unionlibrary(party) #Decision tree## Loading required package: grid## Loading required package: mvtnorm## Loading required package: modeltools## Loading required package: stats4## Loading required package: strucchange## Loading required package: zoo##
## Attaching package: 'zoo'## The following objects are masked from 'package:base':
##
## as.Date, as.Date.numeric## Loading required package: sandwichImport Dataset
data = read.csv("data/weatherAUS.csv", header = TRUE)Data Preprocessing
Sebelum data dianalisis, data harus melewati tahap preprocessing terlebih dahulu. Kenapa begitu ? karena datanya masih kotor. Kotor dalam artian terdapat missing value, outlier, dll
Untuk menangani missing value, kita menggunakan metode mean, yaitu mencari nilai rata-rata dari atribute tersebut
rawdata1=data
for(i in 1:ncol(rawdata1)){
rawdata1[is.na(rawdata1[,i]), i] <- mean(rawdata1[,i], na.rm = TRUE)
}## Warning in mean.default(rawdata1[, i], na.rm = TRUE): argument is not numeric or
## logical: returning NA
## Warning in mean.default(rawdata1[, i], na.rm = TRUE): argument is not numeric or
## logical: returning NA
## Warning in mean.default(rawdata1[, i], na.rm = TRUE): argument is not numeric or
## logical: returning NA
## Warning in mean.default(rawdata1[, i], na.rm = TRUE): argument is not numeric or
## logical: returning NA
## Warning in mean.default(rawdata1[, i], na.rm = TRUE): argument is not numeric or
## logical: returning NA
## Warning in mean.default(rawdata1[, i], na.rm = TRUE): argument is not numeric or
## logical: returning NA
## Warning in mean.default(rawdata1[, i], na.rm = TRUE): argument is not numeric or
## logical: returning NADan untuk menangani missing value pada data kategorial kita menangani dengan cara menghapus data tersebut
rawdata2 = rawdata1
rawdata2 <- na.omit(rawdata1)Perlu diketahui, bahwasanya decision tree ini tidak menerima data bertipe “chr / character”. Oleh karena itu, data bertipe chr tersebut harus kita konversi ke data bertipe factor
Data sebelum dikonversi ke factor:
str(rawdata2)## 'data.frame': 123710 obs. of 23 variables:
## $ Date : chr "2008-12-01" "2008-12-02" "2008-12-03" "2008-12-04" ...
## $ Location : chr "Albury" "Albury" "Albury" "Albury" ...
## $ MinTemp : num 13.4 7.4 12.9 9.2 17.5 14.6 14.3 7.7 9.7 13.1 ...
## $ MaxTemp : num 22.9 25.1 25.7 28 32.3 29.7 25 26.7 31.9 30.1 ...
## $ Rainfall : num 0.6 0 0 0 1 0.2 0 0 0 1.4 ...
## $ Evaporation : num 5.47 5.47 5.47 5.47 5.47 ...
## $ Sunshine : num 7.61 7.61 7.61 7.61 7.61 ...
## $ WindGustDir : chr "W" "WNW" "WSW" "NE" ...
## $ WindGustSpeed: num 44 44 46 24 41 56 50 35 80 28 ...
## $ WindDir9am : chr "W" "NNW" "W" "SE" ...
## $ WindDir3pm : chr "WNW" "WSW" "WSW" "E" ...
## $ WindSpeed9am : num 20 4 19 11 7 19 20 6 7 15 ...
## $ WindSpeed3pm : num 24 22 26 9 20 24 24 17 28 11 ...
## $ Humidity9am : num 71 44 38 45 82 55 49 48 42 58 ...
## $ Humidity3pm : num 22 25 30 16 33 23 19 19 9 27 ...
## $ Pressure9am : num 1008 1011 1008 1018 1011 ...
## $ Pressure3pm : num 1007 1008 1009 1013 1006 ...
## $ Cloud9am : num 8 4.45 4.45 4.45 7 ...
## $ Cloud3pm : num 4.51 4.51 2 4.51 8 ...
## $ Temp9am : num 16.9 17.2 21 18.1 17.8 20.6 18.1 16.3 18.3 20.1 ...
## $ Temp3pm : num 21.8 24.3 23.2 26.5 29.7 28.9 24.6 25.5 30.2 28.2 ...
## $ RainToday : chr "No" "No" "No" "No" ...
## $ RainTomorrow : chr "No" "No" "No" "No" ...
## - attr(*, "na.action")= 'omit' Named int [1:21750] 15 16 27 65 66 76 87 89 90 96 ...
## ..- attr(*, "names")= chr [1:21750] "15" "16" "27" "65" ...Proses konversi data chr ke factor:
rawdata2 <- rawdata2 %>%
mutate(across(where(is.character), as.factor))Data setelah dikonversi ke factor:
str(rawdata2)## 'data.frame': 123710 obs. of 23 variables:
## $ Date : Factor w/ 3417 levels "2007-11-01","2007-11-02",..: 378 379 380 381 382 383 384 385 386 387 ...
## $ Location : Factor w/ 47 levels "Adelaide","Albury",..: 2 2 2 2 2 2 2 2 2 2 ...
## $ MinTemp : num 13.4 7.4 12.9 9.2 17.5 14.6 14.3 7.7 9.7 13.1 ...
## $ MaxTemp : num 22.9 25.1 25.7 28 32.3 29.7 25 26.7 31.9 30.1 ...
## $ Rainfall : num 0.6 0 0 0 1 0.2 0 0 0 1.4 ...
## $ Evaporation : num 5.47 5.47 5.47 5.47 5.47 ...
## $ Sunshine : num 7.61 7.61 7.61 7.61 7.61 ...
## $ WindGustDir : Factor w/ 16 levels "E","ENE","ESE",..: 14 15 16 5 14 15 14 14 7 14 ...
## $ WindGustSpeed: num 44 44 46 24 41 56 50 35 80 28 ...
## $ WindDir9am : Factor w/ 16 levels "E","ENE","ESE",..: 14 7 14 10 2 14 13 11 10 9 ...
## $ WindDir3pm : Factor w/ 16 levels "E","ENE","ESE",..: 15 16 16 1 8 14 14 14 8 11 ...
## $ WindSpeed9am : num 20 4 19 11 7 19 20 6 7 15 ...
## $ WindSpeed3pm : num 24 22 26 9 20 24 24 17 28 11 ...
## $ Humidity9am : num 71 44 38 45 82 55 49 48 42 58 ...
## $ Humidity3pm : num 22 25 30 16 33 23 19 19 9 27 ...
## $ Pressure9am : num 1008 1011 1008 1018 1011 ...
## $ Pressure3pm : num 1007 1008 1009 1013 1006 ...
## $ Cloud9am : num 8 4.45 4.45 4.45 7 ...
## $ Cloud3pm : num 4.51 4.51 2 4.51 8 ...
## $ Temp9am : num 16.9 17.2 21 18.1 17.8 20.6 18.1 16.3 18.3 20.1 ...
## $ Temp3pm : num 21.8 24.3 23.2 26.5 29.7 28.9 24.6 25.5 30.2 28.2 ...
## $ RainToday : Factor w/ 2 levels "No","Yes": 1 1 1 1 1 1 1 1 1 2 ...
## $ RainTomorrow : Factor w/ 2 levels "No","Yes": 1 1 1 1 1 1 1 1 2 1 ...
## - attr(*, "na.action")= 'omit' Named int [1:21750] 15 16 27 65 66 76 87 89 90 96 ...
## ..- attr(*, "names")= chr [1:21750] "15" "16" "27" "65" ...Data Analisis
Pada tahap analisis, data dibagi menjadi 2 yaitu data untuk training (belajar) data untuk testing (pengujian). Untuk proporsinya sendiri 80:20. Yakni 80% data training 20% data testing.
set.seed(1234)
hujan <- sample(2, nrow(rawdata2), replace = TRUE, prob = c(0.8, 0.2))
trainData <- rawdata2[hujan==1,]
testData <- rawdata2[hujan==2,]
Kemudian kita membuat predictor, attribute RainTomorrow sebagai class/label, attribute yang lain sebagai parameter. Akan tetapi pada attribute RISK_MM tidak digunakan. Kenapa bisa begitu ? Permasalahan ini sudah dibahas Disini.
#Membuat model
predictor <- RainTomorrow~MinTemp+MaxTemp+Rainfall+Evaporation+Sunshine+WindGustDir+WindGustSpeed+WindDir9am+WindDir3pm+WindSpeed9am+WindSpeed3pm+Humidity9am+Humidity3pm+Pressure9am+Pressure3pm+Cloud9am+Cloud3pm+Temp9am+Temp3pm+RainTodayData training yang sudah diambil 80% dari dataset kemudian dimasukkan pada model decision tree
tree <- ctree(predictor, data = trainData)Dan membentuk sebuah rule
Catatan: untuk hasil plot karena saking banyaknya attribute dan keterbatasan ukuran LCD maka bentuknya seakan-akan abstrak
tree##
## Conditional inference tree with 289 terminal nodes
##
## Response: RainTomorrow
## Inputs: MinTemp, MaxTemp, Rainfall, Evaporation, Sunshine, WindGustDir, WindGustSpeed, WindDir9am, WindDir3pm, WindSpeed9am, WindSpeed3pm, Humidity9am, Humidity3pm, Pressure9am, Pressure3pm, Cloud9am, Cloud3pm, Temp9am, Temp3pm, RainToday
## Number of observations: 99100
##
## 1) Humidity3pm <= 71; criterion = 1, statistic = 20110.855
## 2) Humidity3pm <= 51; criterion = 1, statistic = 4702.75
## 3) WindGustSpeed <= 52; criterion = 1, statistic = 2199.95
## 4) Sunshine <= 7.5; criterion = 1, statistic = 1189.503
## 5) Pressure3pm <= 1015; criterion = 1, statistic = 229.143
## 6) WindDir3pm == {E, ENE, ESE, SE, SSE, SSW, SW, WSW}; criterion = 1, statistic = 88.651
## 7) MinTemp <= 14.1; criterion = 0.999, statistic = 33.149
## 8)* weights = 270
## 7) MinTemp > 14.1
## 9) WindGustDir == {E, ENE, ESE, NE, NNW, NW, S, SE, SSE, SSW, SW, WSW}; criterion = 0.986, statistic = 38.677
## 10) WindSpeed9am <= 7; criterion = 0.986, statistic = 11.53
## 11) Evaporation <= 10; criterion = 0.965, statistic = 21.758
## 12)* weights = 50
## 11) Evaporation > 10
## 13)* weights = 9
## 10) WindSpeed9am > 7
## 14)* weights = 362
## 9) WindGustDir == {N, NNE, W, WNW}
## 15)* weights = 65
## 6) WindDir3pm == {N, NE, NNE, NNW, NW, S, W, WNW}
## 16) Humidity3pm <= 26; criterion = 1, statistic = 42.479
## 17)* weights = 165
## 16) Humidity3pm > 26
## 18) Sunshine <= 2; criterion = 1, statistic = 41.39
## 19)* weights = 138
## 18) Sunshine > 2
## 20) Pressure3pm <= 1004.4; criterion = 0.998, statistic = 24.358
## 21)* weights = 76
## 20) Pressure3pm > 1004.4
## 22) Cloud3pm <= 4; criterion = 0.999, statistic = 29.003
## 23)* weights = 115
## 22) Cloud3pm > 4
## 24)* weights = 533
## 5) Pressure3pm > 1015
## 25) Pressure3pm <= 1020.4; criterion = 1, statistic = 65.117
## 26) WindDir3pm == {E, SE, SSW, SW, W}; criterion = 0.999, statistic = 47.561
## 27)* weights = 437
## 26) WindDir3pm == {ENE, ESE, N, NE, NNE, NNW, NW, S, SSE, WNW, WSW}
## 28) Sunshine <= 0.8; criterion = 1, statistic = 36.005
## 29)* weights = 41
## 28) Sunshine > 0.8
## 30) Rainfall <= 10.4; criterion = 0.999, statistic = 38.579
## 31) WindGustDir == {NNE, NW, SSW, WNW}; criterion = 0.988, statistic = 39.271
## 32) Sunshine <= 4.6; criterion = 0.995, statistic = 20.398
## 33)* weights = 67
## 32) Sunshine > 4.6
## 34)* weights = 136
## 31) WindGustDir == {E, ENE, ESE, N, NE, NNW, S, SE, SSE, SW, W, WSW}
## 35)* weights = 616
## 30) Rainfall > 10.4
## 36)* weights = 11
## 25) Pressure3pm > 1020.4
## 37) Rainfall <= 2.8; criterion = 1, statistic = 31.287
## 38) WindGustDir == {ENE, ESE, N, NE, NNE, NW, S, SE, SSE, SSW, SW, W, WNW, WSW}; criterion = 0.968, statistic = 36.29
## 39) Sunshine <= 3.2; criterion = 0.95, statistic = 23.903
## 40)* weights = 162
## 39) Sunshine > 3.2
## 41)* weights = 681
## 38) WindGustDir == {E, NNW}
## 42) WindDir3pm == {E, ENE, ESE, N, NE, NNW, S, SE, SW, W, WSW}; criterion = 0.951, statistic = 33.387
## 43)* weights = 108
## 42) WindDir3pm == {NNE, NW, SSE, WNW}
## 44)* weights = 24
## 37) Rainfall > 2.8
## 45) Sunshine <= 5.1; criterion = 0.989, statistic = 22.271
## 46)* weights = 25
## 45) Sunshine > 5.1
## 47)* weights = 44
## 4) Sunshine > 7.5
## 48) Pressure3pm <= 1011.4; criterion = 1, statistic = 477.881
## 49) Humidity3pm <= 27; criterion = 1, statistic = 214.154
## 50) Sunshine <= 9.3; criterion = 1, statistic = 56.408
## 51) Humidity3pm <= 17; criterion = 1, statistic = 36.521
## 52) Cloud3pm <= 6; criterion = 0.999, statistic = 22.791
## 53) Pressure3pm <= 1004.3; criterion = 1, statistic = 20.363
## 54)* weights = 69
## 53) Pressure3pm > 1004.3
## 55)* weights = 700
## 52) Cloud3pm > 6
## 56)* weights = 58
## 51) Humidity3pm > 17
## 57) WindGustSpeed <= 46; criterion = 0.975, statistic = 34.175
## 58)* weights = 768
## 57) WindGustSpeed > 46
## 59)* weights = 193
## 50) Sunshine > 9.3
## 60)* weights = 1814
## 49) Humidity3pm > 27
## 61) Sunshine <= 10.2; criterion = 1, statistic = 94.649
## 62) WindDir3pm == {E, ENE, ESE, S, SE, SSE, SSW, SW, W, WNW, WSW}; criterion = 1, statistic = 75.662
## 63) Cloud3pm <= 5; criterion = 1, statistic = 26.177
## 64) Humidity3pm <= 38; criterion = 1, statistic = 26.362
## 65) WindGustDir == {ENE, N, NE, NNE, NNW, SSE}; criterion = 0.976, statistic = 37.111
## 66)* weights = 153
## 65) WindGustDir == {E, ESE, NW, S, SE, SSW, SW, W, WNW, WSW}
## 67) MaxTemp <= 27.4; criterion = 0.97, statistic = 27.166
## 68) WindDir9am == {ESE, N, NE, NNE, NNW, S, SE, SSE, SSW, SW, W, WNW, WSW}; criterion = 1, statistic = 126.366
## 69)* weights = 268
## 68) WindDir9am == {E, ENE, NW}
## 70) WindGustDir == {E, NW, S, SSW, WNW, WSW}; criterion = 0.997, statistic = 30.986
## 71)* weights = 33
## 70) WindGustDir == {SE, SW, W}
## 72)* weights = 14
## 67) MaxTemp > 27.4
## 73)* weights = 353
## 64) Humidity3pm > 38
## 74) Humidity9am <= 65; criterion = 0.999, statistic = 24.624
## 75)* weights = 481
## 74) Humidity9am > 65
## 76)* weights = 576
## 63) Cloud3pm > 5
## 77) WindGustSpeed <= 46; criterion = 0.962, statistic = 18.498
## 78)* weights = 332
## 77) WindGustSpeed > 46
## 79)* weights = 93
## 62) WindDir3pm == {N, NE, NNE, NNW, NW}
## 80) WindGustSpeed <= 37; criterion = 1, statistic = 36.108
## 81) Temp9am <= 21.7; criterion = 0.997, statistic = 14.859
## 82)* weights = 254
## 81) Temp9am > 21.7
## 83)* weights = 194
## 80) WindGustSpeed > 37
## 84) Rainfall <= 17.4; criterion = 0.993, statistic = 12.843
## 85)* weights = 575
## 84) Rainfall > 17.4
## 86)* weights = 17
## 61) Sunshine > 10.2
## 87) Pressure3pm <= 1002.7; criterion = 0.999, statistic = 25.233
## 88)* weights = 37
## 87) Pressure3pm > 1002.7
## 89)* weights = 1855
## 48) Pressure3pm > 1011.4
## 90) Humidity3pm <= 38; criterion = 1, statistic = 230.636
## 91) WindDir3pm == {N, NE, NNE, NNW, NW}; criterion = 1, statistic = 142.684
## 92) WindGustSpeed <= 37; criterion = 1, statistic = 49.735
## 93) WindSpeed3pm <= 19; criterion = 0.999, statistic = 17.749
## 94) Pressure3pm <= 1020.8; criterion = 0.974, statistic = 14.085
## 95) MaxTemp <= 19.3; criterion = 1, statistic = 19.32
## 96)* weights = 122
## 95) MaxTemp > 19.3
## 97)* weights = 1799
## 94) Pressure3pm > 1020.8
## 98) RainToday == {Yes}; criterion = 1, statistic = 37.504
## 99)* weights = 8
## 98) RainToday == {No}
## 100)* weights = 615
## 93) WindSpeed3pm > 19
## 101)* weights = 272
## 92) WindGustSpeed > 37
## 102) Humidity3pm <= 29; criterion = 1, statistic = 35.363
## 103)* weights = 1181
## 102) Humidity3pm > 29
## 104) Pressure3pm <= 1019.5; criterion = 0.998, statistic = 29.627
## 105)* weights = 500
## 104) Pressure3pm > 1019.5
## 106) WindDir9am == {ESE, S, SW, WSW}; criterion = 1, statistic = 55.908
## 107)* weights = 7
## 106) WindDir9am == {E, ENE, N, NE, NNE, NNW, NW, SE, SSW, W, WNW}
## 108)* weights = 131
## 91) WindDir3pm == {E, ENE, ESE, S, SE, SSE, SSW, SW, W, WNW, WSW}
## 109) Sunshine <= 9.8; criterion = 1, statistic = 47.86
## 110) Pressure3pm <= 1015.4; criterion = 0.992, statistic = 35.459
## 111) Humidity3pm <= 27; criterion = 0.993, statistic = 27.485
## 112)* weights = 1480
## 111) Humidity3pm > 27
## 113)* weights = 1661
## 110) Pressure3pm > 1015.4
## 114)* weights = 3487
## 109) Sunshine > 9.8
## 115) WindGustDir == {E, ENE, ESE, N, NE, NNE, NNW, S, SE, SSE, SSW, SW, W, WNW, WSW}; criterion = 0.999, statistic = 47.561
## 116)* weights = 4864
## 115) WindGustDir == {NW}
## 117)* weights = 83
## 90) Humidity3pm > 38
## 118) WindDir3pm == {E, ENE, S, SE, SSE, SSW, SW, WSW}; criterion = 1, statistic = 133.335
## 119) Rainfall <= 14.6; criterion = 1, statistic = 46.081
## 120) Sunshine <= 9.2; criterion = 1, statistic = 40.554
## 121) MinTemp <= 14.8; criterion = 1, statistic = 42.424
## 122) Pressure3pm <= 1015.3; criterion = 1, statistic = 29.67
## 123) Humidity3pm <= 48; criterion = 0.997, statistic = 35.409
## 124)* weights = 760
## 123) Humidity3pm > 48
## 125)* weights = 223
## 122) Pressure3pm > 1015.3
## 126) RainToday == {No}; criterion = 0.975, statistic = 35.316
## 127)* weights = 2472
## 126) RainToday == {Yes}
## 128)* weights = 305
## 121) MinTemp > 14.8
## 129)* weights = 754
## 120) Sunshine > 9.2
## 130) WindGustDir == {N, WNW}; criterion = 0.99, statistic = 39.781
## 131)* weights = 51
## 130) WindGustDir == {E, ENE, ESE, NE, NNE, NNW, NW, S, SE, SSE, SSW, SW, W, WSW}
## 132) MinTemp <= 17.6; criterion = 0.977, statistic = 18.378
## 133)* weights = 2467
## 132) MinTemp > 17.6
## 134)* weights = 319
## 119) Rainfall > 14.6
## 135)* weights = 94
## 118) WindDir3pm == {ESE, N, NE, NNE, NNW, NW, W, WNW}
## 136) Pressure3pm <= 1016; criterion = 1, statistic = 84.707
## 137) WindGustSpeed <= 33; criterion = 1, statistic = 44.628
## 138) Cloud3pm <= 6; criterion = 0.989, statistic = 25.462
## 139)* weights = 1023
## 138) Cloud3pm > 6
## 140)* weights = 57
## 137) WindGustSpeed > 33
## 141) WindDir3pm == {ESE, NE, W, WNW}; criterion = 0.997, statistic = 40.259
## 142)* weights = 741
## 141) WindDir3pm == {N, NNE, NNW, NW}
## 143)* weights = 444
## 136) Pressure3pm > 1016
## 144) Pressure3pm <= 1022.1; criterion = 1, statistic = 27.723
## 145) Sunshine <= 9.2; criterion = 1, statistic = 29.373
## 146)* weights = 1325
## 145) Sunshine > 9.2
## 147)* weights = 554
## 144) Pressure3pm > 1022.1
## 148) WindGustSpeed <= 48; criterion = 0.997, statistic = 32.968
## 149)* weights = 1028
## 148) WindGustSpeed > 48
## 150)* weights = 24
## 3) WindGustSpeed > 52
## 151) Sunshine <= 7.5; criterion = 1, statistic = 548.452
## 152) Pressure3pm <= 1006.4; criterion = 1, statistic = 67.125
## 153) Humidity3pm <= 23; criterion = 1, statistic = 26.085
## 154) WindSpeed9am <= 37; criterion = 0.961, statistic = 14.867
## 155)* weights = 69
## 154) WindSpeed9am > 37
## 156)* weights = 13
## 153) Humidity3pm > 23
## 157)* weights = 473
## 152) Pressure3pm > 1006.4
## 158) WindSpeed9am <= 26; criterion = 0.987, statistic = 26.397
## 159) Sunshine <= 5.2; criterion = 0.99, statistic = 24.375
## 160)* weights = 231
## 159) Sunshine > 5.2
## 161)* weights = 306
## 158) WindSpeed9am > 26
## 162)* weights = 309
## 151) Sunshine > 7.5
## 163) WindDir3pm == {E, ESE, S, SE, SSE, SSW, SW, W, WNW, WSW}; criterion = 1, statistic = 354.343
## 164) Humidity3pm <= 41; criterion = 1, statistic = 96.859
## 165) WindGustDir == {E, ENE, ESE, NNW, NW, S, SE, SSE, SSW, SW, W, WNW, WSW}; criterion = 1, statistic = 95.251
## 166) Cloud3pm <= 5; criterion = 1, statistic = 47.736
## 167) Cloud9am <= 3; criterion = 1, statistic = 35.227
## 168) WindGustSpeed <= 74; criterion = 1, statistic = 35.051
## 169) WindGustDir == {ENE, NNW, NW, SSW, SW, WSW}; criterion = 1, statistic = 47.729
## 170) WindSpeed3pm <= 13; criterion = 0.972, statistic = 26.834
## 171)* weights = 22
## 170) WindSpeed3pm > 13
## 172)* weights = 292
## 169) WindGustDir == {E, ESE, S, SE, SSE, W, WNW}
## 173)* weights = 684
## 168) WindGustSpeed > 74
## 174)* weights = 75
## 167) Cloud9am > 3
## 175) MinTemp <= 25.4; criterion = 0.999, statistic = 25.756
## 176) Rainfall <= 3.2; criterion = 0.999, statistic = 25.956
## 177) MaxTemp <= 31.4; criterion = 0.996, statistic = 24.158
## 178)* weights = 1023
## 177) MaxTemp > 31.4
## 179) Sunshine <= 9.5; criterion = 0.999, statistic = 26.798
## 180)* weights = 302
## 179) Sunshine > 9.5
## 181) WindDir9am == {E, ENE, ESE, N, NE, NNE, NNW, NW, SE, SSE}; criterion = 0.998, statistic = 42.333
## 182)* weights = 122
## 181) WindDir9am == {S, SSW, SW, W, WNW}
## 183)* weights = 8
## 176) Rainfall > 3.2
## 184) WindDir3pm == {ESE, SE, SSW}; criterion = 1, statistic = 41.597
## 185)* weights = 14
## 184) WindDir3pm == {S, SSE, SW, W, WNW, WSW}
## 186)* weights = 116
## 175) MinTemp > 25.4
## 187)* weights = 23
## 166) Cloud3pm > 5
## 188) Pressure3pm <= 998.7; criterion = 0.995, statistic = 19.763
## 189)* weights = 19
## 188) Pressure3pm > 998.7
## 190)* weights = 350
## 165) WindGustDir == {N, NE, NNE}
## 191)* weights = 73
## 164) Humidity3pm > 41
## 192) Pressure3pm <= 1001.2; criterion = 1, statistic = 43.593
## 193)* weights = 31
## 192) Pressure3pm > 1001.2
## 194) RainToday == {Yes}; criterion = 1, statistic = 36.817
## 195)* weights = 325
## 194) RainToday == {No}
## 196) Pressure3pm <= 1008.5; criterion = 0.999, statistic = 33.526
## 197)* weights = 127
## 196) Pressure3pm > 1008.5
## 198)* weights = 500
## 163) WindDir3pm == {ENE, N, NE, NNE, NNW, NW}
## 199) WindGustDir == {E, ENE, ESE, N, NE, NNE, NNW, NW, S, WNW}; criterion = 1, statistic = 130.361
## 200) Sunshine <= 9.3; criterion = 1, statistic = 99.795
## 201) Humidity3pm <= 17; criterion = 1, statistic = 36.401
## 202)* weights = 252
## 201) Humidity3pm > 17
## 203) Pressure3pm <= 1008.7; criterion = 1, statistic = 33.165
## 204) WindDir3pm == {N, NE, NW}; criterion = 0.994, statistic = 23.269
## 205)* weights = 246
## 204) WindDir3pm == {ENE, NNE, NNW}
## 206)* weights = 139
## 203) Pressure3pm > 1008.7
## 207) WindSpeed9am <= 22; criterion = 0.952, statistic = 13.63
## 208)* weights = 267
## 207) WindSpeed9am > 22
## 209)* weights = 203
## 200) Sunshine > 9.3
## 210) Pressure3pm <= 1007.1; criterion = 1, statistic = 40.889
## 211) Sunshine <= 10; criterion = 0.975, statistic = 13.289
## 212)* weights = 44
## 211) Sunshine > 10
## 213)* weights = 133
## 210) Pressure3pm > 1007.1
## 214) WindGustDir == {NNW, S, WNW}; criterion = 0.964, statistic = 26.282
## 215)* weights = 82
## 214) WindGustDir == {E, ENE, ESE, N, NE, NNE, NW}
## 216) Rainfall <= 1.2; criterion = 0.999, statistic = 16.44
## 217)* weights = 407
## 216) Rainfall > 1.2
## 218)* weights = 14
## 199) WindGustDir == {SE, SSE, SSW, SW, W, WSW}
## 219) WindGustSpeed <= 70; criterion = 1, statistic = 23.661
## 220) Humidity3pm <= 26; criterion = 0.987, statistic = 21.256
## 221)* weights = 132
## 220) Humidity3pm > 26
## 222)* weights = 155
## 219) WindGustSpeed > 70
## 223) Sunshine <= 9.9; criterion = 0.991, statistic = 17.111
## 224)* weights = 70
## 223) Sunshine > 9.9
## 225)* weights = 26
## 2) Humidity3pm > 51
## 226) WindGustSpeed <= 46; criterion = 1, statistic = 2717.258
## 227) Pressure3pm <= 1014.1; criterion = 1, statistic = 769.974
## 228) Sunshine <= 6.6; criterion = 1, statistic = 436.013
## 229) Humidity3pm <= 62; criterion = 1, statistic = 68.099
## 230) WindGustDir == {ENE, NNW, S, SE, SSE, SSW, SW, W, WNW, WSW}; criterion = 0.999, statistic = 47.107
## 231)* weights = 599
## 230) WindGustDir == {E, ESE, N, NE, NNE, NW}
## 232) WindGustSpeed <= 33; criterion = 0.988, statistic = 27.77
## 233)* weights = 110
## 232) WindGustSpeed > 33
## 234)* weights = 182
## 229) Humidity3pm > 62
## 235) WindGustSpeed <= 30; criterion = 1, statistic = 30.013
## 236)* weights = 239
## 235) WindGustSpeed > 30
## 237) Pressure3pm <= 1010.6; criterion = 0.986, statistic = 21.541
## 238)* weights = 436
## 237) Pressure3pm > 1010.6
## 239)* weights = 323
## 228) Sunshine > 6.6
## 240) Cloud3pm <= 4; criterion = 1, statistic = 234.413
## 241) Sunshine <= 8.6; criterion = 1, statistic = 54.819
## 242) WindDir3pm == {E, ENE, ESE, N, NE, S, SE, SSE, SSW, SW, WSW}; criterion = 1, statistic = 53.668
## 243) Humidity3pm <= 54; criterion = 0.999, statistic = 18.491
## 244)* weights = 147
## 243) Humidity3pm > 54
## 245)* weights = 352
## 242) WindDir3pm == {NNE, NNW, NW, W, WNW}
## 246)* weights = 152
## 241) Sunshine > 8.6
## 247) Cloud3pm <= 2; criterion = 1, statistic = 24.932
## 248) Pressure3pm <= 1006.6; criterion = 0.989, statistic = 29.642
## 249)* weights = 120
## 248) Pressure3pm > 1006.6
## 250) RainToday == {No}; criterion = 0.96, statistic = 31.044
## 251)* weights = 900
## 250) RainToday == {Yes}
## 252)* weights = 92
## 247) Cloud3pm > 2
## 253)* weights = 568
## 240) Cloud3pm > 4
## 254) Humidity9am <= 74; criterion = 1, statistic = 126.1
## 255) MaxTemp <= 21.1; criterion = 1, statistic = 64.974
## 256)* weights = 373
## 255) MaxTemp > 21.1
## 257) Cloud3pm <= 6; criterion = 1, statistic = 44.437
## 258) Cloud9am <= 1; criterion = 1, statistic = 41.079
## 259) WindDir3pm == {NNE, NNW, SSE, SSW, WSW}; criterion = 0.997, statistic = 43.051
## 260)* weights = 37
## 259) WindDir3pm == {E, ENE, ESE, N, NE, NW, S, SE, SW, W, WNW}
## 261) Cloud3pm <= 4.50993; criterion = 0.988, statistic = 25.765
## 262)* weights = 204
## 261) Cloud3pm > 4.50993
## 263)* weights = 61
## 258) Cloud9am > 1
## 264) Pressure9am <= 1010.9; criterion = 0.998, statistic = 31.262
## 265)* weights = 427
## 264) Pressure9am > 1010.9
## 266) WindGustDir == {E, ENE, ESE, NE, NNE, NW, S, SSE, SSW, WNW}; criterion = 0.99, statistic = 39.781
## 267)* weights = 796
## 266) WindGustDir == {N, NNW, SE, SW, W, WSW}
## 268)* weights = 293
## 257) Cloud3pm > 6
## 269) Sunshine <= 8.6; criterion = 0.996, statistic = 29.877
## 270)* weights = 254
## 269) Sunshine > 8.6
## 271) RainToday == {Yes}; criterion = 0.982, statistic = 24.646
## 272)* weights = 23
## 271) RainToday == {No}
## 273)* weights = 163
## 254) Humidity9am > 74
## 274) Pressure3pm <= 1005.5; criterion = 1, statistic = 47.59
## 275)* weights = 272
## 274) Pressure3pm > 1005.5
## 276) Humidity3pm <= 64; criterion = 1, statistic = 39.355
## 277)* weights = 992
## 276) Humidity3pm > 64
## 278) RainToday == {No}; criterion = 0.999, statistic = 32.563
## 279) WindGustSpeed <= 41; criterion = 0.976, statistic = 34.164
## 280)* weights = 254
## 279) WindGustSpeed > 41
## 281)* weights = 47
## 278) RainToday == {Yes}
## 282)* weights = 258
## 227) Pressure3pm > 1014.1
## 283) Humidity3pm <= 64; criterion = 1, statistic = 350.275
## 284) Sunshine <= 7.6; criterion = 1, statistic = 178.05
## 285) WindGustSpeed <= 35; criterion = 1, statistic = 63.741
## 286) Temp3pm <= 18.8; criterion = 1, statistic = 50.545
## 287) Pressure3pm <= 1021.9; criterion = 1, statistic = 31.604
## 288) WindDir9am == {E, ENE, NW, S, SE, SSE, SSW, SW, W, WNW, WSW}; criterion = 0.951, statistic = 34.92
## 289)* weights = 385
## 288) WindDir9am == {ESE, N, NE, NNE, NNW}
## 290) WindGustSpeed <= 30; criterion = 0.982, statistic = 19.224
## 291)* weights = 149
## 290) WindGustSpeed > 30
## 292)* weights = 83
## 287) Pressure3pm > 1021.9
## 293) WindGustSpeed <= 20; criterion = 0.986, statistic = 16.774
## 294)* weights = 160
## 293) WindGustSpeed > 20
## 295)* weights = 654
## 286) Temp3pm > 18.8
## 296) WindGustDir == {ESE, S, SSE, SSW, SW, W}; criterion = 0.973, statistic = 36.788
## 297)* weights = 341
## 296) WindGustDir == {E, ENE, N, NE, NNE, NNW, NW, SE, WNW, WSW}
## 298)* weights = 409
## 285) WindGustSpeed > 35
## 299) Rainfall <= 8; criterion = 1, statistic = 57.431
## 300) WindDir9am == {N, NE, NNE}; criterion = 1, statistic = 55.627
## 301) Pressure9am <= 1019.6; criterion = 1, statistic = 27.22
## 302)* weights = 54
## 301) Pressure9am > 1019.6
## 303)* weights = 137
## 300) WindDir9am == {E, ENE, ESE, NNW, NW, S, SE, SSE, SSW, SW, W, WNW, WSW}
## 304)* weights = 921
## 299) Rainfall > 8
## 305) Cloud3pm <= 6; criterion = 0.967, statistic = 18.621
## 306)* weights = 68
## 305) Cloud3pm > 6
## 307)* weights = 46
## 284) Sunshine > 7.6
## 308) Rainfall <= 0.3; criterion = 1, statistic = 105.381
## 309) Pressure3pm <= 1018.2; criterion = 1, statistic = 43.086
## 310) Sunshine <= 9.8; criterion = 1, statistic = 64.837
## 311) Pressure9am <= 1020.6; criterion = 1, statistic = 48.959
## 312) WindGustSpeed <= 31; criterion = 1, statistic = 32.509
## 313)* weights = 988
## 312) WindGustSpeed > 31
## 314) WindSpeed3pm <= 22; criterion = 0.997, statistic = 27.237
## 315) Humidity3pm <= 56; criterion = 0.974, statistic = 27.309
## 316)* weights = 343
## 315) Humidity3pm > 56
## 317)* weights = 393
## 314) WindSpeed3pm > 22
## 318)* weights = 396
## 311) Pressure9am > 1020.6
## 319) Temp9am <= 16; criterion = 0.998, statistic = 22.669
## 320)* weights = 129
## 319) Temp9am > 16
## 321) WindSpeed3pm <= 15; criterion = 0.994, statistic = 26.033
## 322)* weights = 57
## 321) WindSpeed3pm > 15
## 323)* weights = 88
## 310) Sunshine > 9.8
## 324)* weights = 559
## 309) Pressure3pm > 1018.2
## 325) Humidity3pm <= 58; criterion = 1, statistic = 26.86
## 326)* weights = 2316
## 325) Humidity3pm > 58
## 327)* weights = 1413
## 308) Rainfall > 0.3
## 328) Sunshine <= 9.2; criterion = 1, statistic = 54.959
## 329) Pressure3pm <= 1017.3; criterion = 1, statistic = 46.337
## 330) WindGustDir == {ENE, NE, S, SE, SSE, SSW, SW, W, WSW}; criterion = 0.971, statistic = 36.581
## 331)* weights = 489
## 330) WindGustDir == {E, ESE, N, NNE, NNW, NW, WNW}
## 332)* weights = 299
## 329) Pressure3pm > 1017.3
## 333) Rainfall <= 12.2; criterion = 1, statistic = 27.055
## 334)* weights = 1105
## 333) Rainfall > 12.2
## 335)* weights = 82
## 328) Sunshine > 9.2
## 336)* weights = 359
## 283) Humidity3pm > 64
## 337) RainToday == {No}; criterion = 1, statistic = 118.095
## 338) Pressure3pm <= 1022.7; criterion = 1, statistic = 42.615
## 339) Sunshine <= 4.3; criterion = 1, statistic = 43.382
## 340)* weights = 351
## 339) Sunshine > 4.3
## 341) WindSpeed3pm <= 19; criterion = 0.998, statistic = 37.956
## 342)* weights = 1146
## 341) WindSpeed3pm > 19
## 343) Temp3pm <= 20.4; criterion = 0.995, statistic = 35.747
## 344) Humidity3pm <= 69; criterion = 0.966, statistic = 15.512
## 345)* weights = 270
## 344) Humidity3pm > 69
## 346)* weights = 81
## 343) Temp3pm > 20.4
## 347) WindGustDir == {ENE, NE, NNE, SW, WNW}; criterion = 0.99, statistic = 38.108
## 348) Rainfall <= 0.3; criterion = 1, statistic = 29.87
## 349)* weights = 195
## 348) Rainfall > 0.3
## 350)* weights = 10
## 347) WindGustDir == {E, ESE, N, NNW, NW, S, SE, SSE, SSW, WSW}
## 351)* weights = 234
## 338) Pressure3pm > 1022.7
## 352) MinTemp <= 10.1; criterion = 1, statistic = 31.519
## 353) WindGustSpeed <= 37; criterion = 0.968, statistic = 16.097
## 354)* weights = 579
## 353) WindGustSpeed > 37
## 355)* weights = 70
## 352) MinTemp > 10.1
## 356)* weights = 300
## 337) RainToday == {Yes}
## 357) WindGustSpeed <= 33; criterion = 1, statistic = 47.231
## 358) MinTemp <= 10.8; criterion = 1, statistic = 21.531
## 359)* weights = 290
## 358) MinTemp > 10.8
## 360)* weights = 338
## 357) WindGustSpeed > 33
## 361) Temp3pm <= 15; criterion = 0.955, statistic = 20.566
## 362)* weights = 260
## 361) Temp3pm > 15
## 363)* weights = 373
## 226) WindGustSpeed > 46
## 364) Pressure3pm <= 1012.1; criterion = 1, statistic = 523.366
## 365) WindDir3pm == {N, NNW, NW, SW, W, WNW, WSW}; criterion = 1, statistic = 196.25
## 366) Humidity3pm <= 57; criterion = 1, statistic = 59.238
## 367) RainToday == {Yes}; criterion = 1, statistic = 27.563
## 368) Sunshine <= 8.8; criterion = 0.994, statistic = 17.246
## 369)* weights = 344
## 368) Sunshine > 8.8
## 370)* weights = 31
## 367) RainToday == {No}
## 371)* weights = 416
## 366) Humidity3pm > 57
## 372) WindGustSpeed <= 54; criterion = 1, statistic = 46.64
## 373)* weights = 518
## 372) WindGustSpeed > 54
## 374) Rainfall <= 8.4; criterion = 0.995, statistic = 14.125
## 375) Sunshine <= 9; criterion = 0.961, statistic = 23.657
## 376)* weights = 638
## 375) Sunshine > 9
## 377)* weights = 35
## 374) Rainfall > 8.4
## 378)* weights = 240
## 365) WindDir3pm == {E, ENE, ESE, NE, NNE, S, SE, SSE, SSW}
## 379) Sunshine <= 4.5; criterion = 1, statistic = 79.534
## 380) WindGustSpeed <= 65; criterion = 0.994, statistic = 33.833
## 381)* weights = 194
## 380) WindGustSpeed > 65
## 382) Rainfall <= 14.8; criterion = 0.985, statistic = 11.31
## 383)* weights = 29
## 382) Rainfall > 14.8
## 384)* weights = 7
## 379) Sunshine > 4.5
## 385) Humidity9am <= 78; criterion = 1, statistic = 42.395
## 386) WindSpeed3pm <= 31; criterion = 1, statistic = 26.441
## 387) Sunshine <= 9.9; criterion = 0.988, statistic = 29.672
## 388) WindDir9am == {ESE, NNW, NW, S, SSE}; criterion = 0.985, statistic = 38.439
## 389) Evaporation <= 7.6; criterion = 0.953, statistic = 13.635
## 390)* weights = 107
## 389) Evaporation > 7.6
## 391)* weights = 34
## 388) WindDir9am == {E, ENE, N, NE, NNE, SE, SSW, SW, W, WNW, WSW}
## 392)* weights = 275
## 387) Sunshine > 9.9
## 393)* weights = 72
## 386) WindSpeed3pm > 31
## 394)* weights = 281
## 385) Humidity9am > 78
## 395)* weights = 185
## 364) Pressure3pm > 1012.1
## 396) RainToday == {Yes}; criterion = 1, statistic = 167.067
## 397) Humidity9am <= 68; criterion = 1, statistic = 45.289
## 398) Humidity3pm <= 67; criterion = 1, statistic = 34.036
## 399) WindGustSpeed <= 70; criterion = 0.989, statistic = 26.584
## 400)* weights = 410
## 399) WindGustSpeed > 70
## 401)* weights = 38
## 398) Humidity3pm > 67
## 402)* weights = 45
## 397) Humidity9am > 68
## 403) Sunshine <= 9; criterion = 1, statistic = 46.368
## 404) WindDir3pm == {ENE, ESE, N, NNW, SE, WSW}; criterion = 0.996, statistic = 42.497
## 405) Pressure3pm <= 1019.5; criterion = 0.975, statistic = 26.1
## 406)* weights = 278
## 405) Pressure3pm > 1019.5
## 407)* weights = 73
## 404) WindDir3pm == {E, NE, NNE, NW, S, SSE, SSW, SW, W, WNW}
## 408) WindGustSpeed <= 57; criterion = 0.955, statistic = 32.341
## 409)* weights = 594
## 408) WindGustSpeed > 57
## 410)* weights = 283
## 403) Sunshine > 9
## 411) Cloud3pm <= 6; criterion = 0.958, statistic = 12.308
## 412)* weights = 48
## 411) Cloud3pm > 6
## 413)* weights = 9
## 396) RainToday == {No}
## 414) Sunshine <= 6.9; criterion = 1, statistic = 98.218
## 415) WindDir9am == {E, ENE, ESE, N, NE, NNE, NNW, NW, SW}; criterion = 1, statistic = 62.393
## 416) Pressure3pm <= 1014.8; criterion = 0.997, statistic = 15.806
## 417)* weights = 150
## 416) Pressure3pm > 1014.8
## 418)* weights = 240
## 415) WindDir9am == {S, SE, SSE, SSW, W, WNW, WSW}
## 419)* weights = 314
## 414) Sunshine > 6.9
## 420) WindGustSpeed <= 56; criterion = 1, statistic = 68.92
## 421) Humidity3pm <= 62; criterion = 1, statistic = 39.59
## 422)* weights = 953
## 421) Humidity3pm > 62
## 423) Rainfall <= 0.1; criterion = 1, statistic = 35.516
## 424) WindSpeed3pm <= 24; criterion = 0.979, statistic = 27.374
## 425)* weights = 104
## 424) WindSpeed3pm > 24
## 426)* weights = 240
## 423) Rainfall > 0.1
## 427)* weights = 141
## 420) WindGustSpeed > 56
## 428) WindDir3pm == {E, ESE, NE, NNE, SE, SSE, W, WNW, WSW}; criterion = 0.994, statistic = 40.998
## 429) Humidity9am <= 62; criterion = 0.995, statistic = 16.999
## 430)* weights = 149
## 429) Humidity9am > 62
## 431)* weights = 274
## 428) WindDir3pm == {ENE, N, NNW, NW, S, SSW, SW}
## 432) WindSpeed9am <= 13; criterion = 0.994, statistic = 20.542
## 433)* weights = 29
## 432) WindSpeed9am > 13
## 434)* weights = 186
## 1) Humidity3pm > 71
## 435) Humidity3pm <= 82; criterion = 1, statistic = 1910.563
## 436) WindGustSpeed <= 44; criterion = 1, statistic = 689.708
## 437) Pressure3pm <= 1012.8; criterion = 1, statistic = 222.671
## 438) Sunshine <= 4.6; criterion = 1, statistic = 100.315
## 439) WindGustSpeed <= 28; criterion = 1, statistic = 23.671
## 440)* weights = 127
## 439) WindGustSpeed > 28
## 441) Humidity3pm <= 74; criterion = 0.964, statistic = 30.054
## 442)* weights = 128
## 441) Humidity3pm > 74
## 443)* weights = 314
## 438) Sunshine > 4.6
## 444) Cloud3pm <= 6; criterion = 1, statistic = 48.456
## 445) RainToday == {Yes}; criterion = 1, statistic = 47.838
## 446)* weights = 323
## 445) RainToday == {No}
## 447)* weights = 454
## 444) Cloud3pm > 6
## 448)* weights = 352
## 437) Pressure3pm > 1012.8
## 449) RainToday == {No}; criterion = 1, statistic = 104.471
## 450) Sunshine <= 1.4; criterion = 1, statistic = 56.166
## 451) Pressure3pm <= 1022.8; criterion = 1, statistic = 22.287
## 452)* weights = 208
## 451) Pressure3pm > 1022.8
## 453)* weights = 85
## 450) Sunshine > 1.4
## 454) Pressure3pm <= 1018.6; criterion = 1, statistic = 43.199
## 455) Cloud3pm <= 6; criterion = 1, statistic = 38.431
## 456) Sunshine <= 9.4; criterion = 0.99, statistic = 31.942
## 457) Humidity3pm <= 79; criterion = 0.962, statistic = 32.03
## 458)* weights = 644
## 457) Humidity3pm > 79
## 459)* weights = 144
## 456) Sunshine > 9.4
## 460)* weights = 40
## 455) Cloud3pm > 6
## 461)* weights = 305
## 454) Pressure3pm > 1018.6
## 462) WindGustSpeed <= 35; criterion = 1, statistic = 21.266
## 463)* weights = 715
## 462) WindGustSpeed > 35
## 464)* weights = 295
## 449) RainToday == {Yes}
## 465) WindGustSpeed <= 35; criterion = 1, statistic = 26.591
## 466) MaxTemp <= 14.6; criterion = 1, statistic = 20.371
## 467)* weights = 224
## 466) MaxTemp > 14.6
## 468)* weights = 626
## 465) WindGustSpeed > 35
## 469) Sunshine <= 5.8; criterion = 0.989, statistic = 14.637
## 470)* weights = 238
## 469) Sunshine > 5.8
## 471)* weights = 377
## 436) WindGustSpeed > 44
## 472) WindDir3pm == {E, ENE, ESE, NE, NNE, S, SSE}; criterion = 1, statistic = 153.376
## 473) Sunshine <= 3.6; criterion = 1, statistic = 81.493
## 474) Humidity3pm <= 76; criterion = 0.994, statistic = 28.546
## 475)* weights = 111
## 474) Humidity3pm > 76
## 476)* weights = 161
## 473) Sunshine > 3.6
## 477) RainToday == {No}; criterion = 1, statistic = 63.149
## 478) Cloud3pm <= 5; criterion = 1, statistic = 42.176
## 479)* weights = 419
## 478) Cloud3pm > 5
## 480) MinTemp <= 13.8; criterion = 0.996, statistic = 19.476
## 481)* weights = 38
## 480) MinTemp > 13.8
## 482)* weights = 146
## 477) RainToday == {Yes}
## 483) WindGustSpeed <= 65; criterion = 0.978, statistic = 22.931
## 484) Cloud3pm <= 6; criterion = 0.983, statistic = 23.322
## 485)* weights = 218
## 484) Cloud3pm > 6
## 486)* weights = 117
## 483) WindGustSpeed > 65
## 487)* weights = 46
## 472) WindDir3pm == {N, NNW, NW, SE, SSW, SW, W, WNW, WSW}
## 488) Pressure3pm <= 1014.5; criterion = 1, statistic = 95.707
## 489) Sunshine <= 7.5; criterion = 1, statistic = 45.285
## 490) Pressure3pm <= 1010.3; criterion = 0.992, statistic = 31.913
## 491)* weights = 423
## 490) Pressure3pm > 1010.3
## 492)* weights = 183
## 489) Sunshine > 7.5
## 493) RainToday == {No}; criterion = 0.998, statistic = 25.885
## 494) Rainfall <= 0; criterion = 0.981, statistic = 21.516
## 495) WindSpeed3pm <= 19; criterion = 0.986, statistic = 21.278
## 496)* weights = 42
## 495) WindSpeed3pm > 19
## 497)* weights = 126
## 494) Rainfall > 0
## 498)* weights = 78
## 493) RainToday == {Yes}
## 499)* weights = 334
## 488) Pressure3pm > 1014.5
## 500) MinTemp <= 4.9; criterion = 1, statistic = 27.006
## 501)* weights = 117
## 500) MinTemp > 4.9
## 502) WindGustSpeed <= 69; criterion = 0.995, statistic = 20.913
## 503)* weights = 509
## 502) WindGustSpeed > 69
## 504)* weights = 53
## 435) Humidity3pm > 82
## 505) Pressure3pm <= 1014.9; criterion = 1, statistic = 353.352
## 506) Humidity3pm <= 88; criterion = 1, statistic = 129.156
## 507) Pressure3pm <= 1011; criterion = 1, statistic = 57.382
## 508) Sunshine <= 4.1; criterion = 1, statistic = 34.995
## 509)* weights = 438
## 508) Sunshine > 4.1
## 510) Temp3pm <= 20.8; criterion = 1, statistic = 30.904
## 511) Pressure3pm <= 1006; criterion = 0.98, statistic = 24.205
## 512)* weights = 186
## 511) Pressure3pm > 1006
## 513)* weights = 217
## 510) Temp3pm > 20.8
## 514) Cloud3pm <= 4.50993; criterion = 0.995, statistic = 20.81
## 515)* weights = 105
## 514) Cloud3pm > 4.50993
## 516)* weights = 101
## 507) Pressure3pm > 1011
## 517) Temp3pm <= 20.1; criterion = 0.999, statistic = 46.203
## 518) WindGustSpeed <= 44; criterion = 0.998, statistic = 21.637
## 519)* weights = 193
## 518) WindGustSpeed > 44
## 520)* weights = 169
## 517) Temp3pm > 20.1
## 521) WindGustDir == {E, SE, SSE, W, WNW}; criterion = 0.988, statistic = 39.263
## 522)* weights = 46
## 521) WindGustDir == {ENE, ESE, N, NE, NNE, NNW, NW, S, SSW, SW, WSW}
## 523)* weights = 134
## 506) Humidity3pm > 88
## 524) Cloud9am <= 3; criterion = 1, statistic = 56.312
## 525) Temp3pm <= 26.9; criterion = 1, statistic = 30.325
## 526)* weights = 46
## 525) Temp3pm > 26.9
## 527)* weights = 16
## 524) Cloud9am > 3
## 528) Sunshine <= 2.5; criterion = 1, statistic = 29.573
## 529)* weights = 956
## 528) Sunshine > 2.5
## 530) Temp3pm <= 27.6; criterion = 1, statistic = 22.724
## 531) WindGustSpeed <= 48; criterion = 0.997, statistic = 24.529
## 532) WindSpeed3pm <= 20; criterion = 0.976, statistic = 27.874
## 533)* weights = 556
## 532) WindSpeed3pm > 20
## 534)* weights = 120
## 531) WindGustSpeed > 48
## 535) RainToday == {Yes}; criterion = 0.981, statistic = 17.33
## 536)* weights = 371
## 535) RainToday == {No}
## 537)* weights = 202
## 530) Temp3pm > 27.6
## 538)* weights = 17
## 505) Pressure3pm > 1014.9
## 539) MinTemp <= 7.3; criterion = 1, statistic = 292.475
## 540) RainToday == {Yes}; criterion = 1, statistic = 50.969
## 541) Humidity3pm <= 95; criterion = 0.987, statistic = 35.005
## 542) Evaporation <= 2.8; criterion = 0.996, statistic = 22.878
## 543) Humidity3pm <= 83; criterion = 0.972, statistic = 16.984
## 544)* weights = 13
## 543) Humidity3pm > 83
## 545)* weights = 84
## 542) Evaporation > 2.8
## 546) Cloud9am <= 7; criterion = 0.973, statistic = 24.633
## 547)* weights = 130
## 546) Cloud9am > 7
## 548)* weights = 43
## 541) Humidity3pm > 95
## 549) MinTemp <= -3; criterion = 0.984, statistic = 29.462
## 550)* weights = 40
## 549) MinTemp > -3
## 551)* weights = 182
## 540) RainToday == {No}
## 552) Cloud3pm <= 7; criterion = 1, statistic = 42.098
## 553) Humidity3pm <= 96; criterion = 0.978, statistic = 29.63
## 554) MaxTemp <= 14.3; criterion = 1, statistic = 26.827
## 555)* weights = 276
## 554) MaxTemp > 14.3
## 556)* weights = 63
## 553) Humidity3pm > 96
## 557)* weights = 153
## 552) Cloud3pm > 7
## 558) Pressure3pm <= 1020.5; criterion = 1, statistic = 23.891
## 559)* weights = 82
## 558) Pressure3pm > 1020.5
## 560)* weights = 76
## 539) MinTemp > 7.3
## 561) Humidity3pm <= 89; criterion = 1, statistic = 67.436
## 562) WindGustSpeed <= 39; criterion = 1, statistic = 43.341
## 563) RainToday == {No}; criterion = 0.984, statistic = 28.605
## 564) Humidity9am <= 96; criterion = 1, statistic = 26.314
## 565)* weights = 228
## 564) Humidity9am > 96
## 566)* weights = 29
## 563) RainToday == {Yes}
## 567)* weights = 308
## 562) WindGustSpeed > 39
## 568) RainToday == {No}; criterion = 0.999, statistic = 26.419
## 569)* weights = 201
## 568) RainToday == {Yes}
## 570)* weights = 337
## 561) Humidity3pm > 89
## 571) MinTemp <= 11; criterion = 1, statistic = 42.773
## 572) Cloud3pm <= 7; criterion = 0.972, statistic = 22.595
## 573)* weights = 260
## 572) Cloud3pm > 7
## 574)* weights = 116
## 571) MinTemp > 11
## 575) RainToday == {No}; criterion = 0.998, statistic = 24.763
## 576)* weights = 269
## 575) RainToday == {Yes}
## 577)* weights = 559plot(tree)
Evaluasi
Pada tahap evaluasi dibagi menjadi 2 pengujian. Pengujian berdasarkan data training dan pengujian berdasarkan data testing. Dalam tahap evaluasi menggunakan metode confusion matrix
Pengujian berdasarkan data training
table(predict(tree), trainData$RainTomorrow)##
## No Yes
## No 73206 10535
## Yes 3962 11397Pengujian berdasarkan data testing
testPred <- predict(tree, testData)
table(testPred, testData$RainTomorrow)##
## testPred No Yes
## No 18075 2727
## Yes 1075 2733Referensi
[1] E. B. Pratama and A. Hendini, “Sistem Pakar Diagnosa Penyakit Kulit Pada Kucing Berbasis Web Menggunakan Metode Decision Tree,” Sistemasi, vol. 8, no. 2, p. 254, 2019, doi: 10.32520/stmsi.v8i2.459.
[2] P. Handayani, E. Nurlelah, M. Raharjo, and P. M. Ramdani, “Prediksi Penyakit Liver Dengan Menggunakan Metode Decision Tree dan Neural Network,” Comput. Eng. Sci. Syst. J., vol. 4, no. 1, p. 55, 2019, doi: 10.24114/cess.v4i1.11528.
[3] https://www.youtube.com/Irwansight
[4] https://www.kaggle.com/jsphyg/weather-dataset-rattle-package