Assignmnet
R
2023-10-24
R Markdown
Project Overview:
Objective: To perform a data science analysis on a real-world dementia dataset using R.
Scope: The dataset is obtained from a mobile healthcare service provided in collaboration with non-governmental organizations that manage elderly care centers in various districts of Hong Kong. The service was offered for free from 2008 to 2018.
Dataset Content: The dataset contains individual cases with various variables, including age, body height, body weight, education level, mobility, Mini Nutritional Assessment outcomes, and more.
Outcome Prediction Labels: The prediction labels are based on the categories of the Mini Mental State Exam class (MMSE_class_2). The MMSE is a widely used screening tool for assessing cognitive impairment and dementia in adults.
Source: Mention where the dataset was obtained from. In this case, it’s mentioned that the dataset is from a mobile healthcare service in collaboration with NGOs in Hong Kong.
Characteristics: Highlight any key characteristics or features of the dataset that are relevant to the analysis.
# load csv file
data <- read.csv("data.csv")
head(data)## X Age Education_ID Mobility body_height MNAa_q3 body_weight MNAb_tot waist
## 1 1 86 1 4 148.3 2 61.1 10.5 95.0
## 2 2 92 2 4 156.2 2 61.5 15.0 88.0
## 3 3 81 1 4 146.3 2 47.0 13.0 73.5
## 4 4 79 2 4 152.2 2 65.3 14.0 95.0
## 5 5 86 1 4 157.3 2 57.3 11.5 88.0
## 6 6 80 1 4 147.1 2 51.1 13.0 85.0
## bmi MNAa_tot Endocrine.Disease_Hyperlipidaemia MMSE_class_2
## 1 27.76 12 1 0
## 2 25.19 14 0 0
## 3 21.96 13 0 0
## 4 28.17 14 0 0
## 5 23.16 13 1 0
## 6 23.59 14 1 1summary(data)## X Age Education_ID Mobility
## Min. : 1.0 Min. : 51.00 Min. :1.000 Min. :1.000
## 1st Qu.: 575.5 1st Qu.: 70.00 1st Qu.:1.000 1st Qu.:4.000
## Median :1150.0 Median : 77.00 Median :2.000 Median :4.000
## Mean :1150.0 Mean : 77.49 Mean :1.994 Mean :3.898
## 3rd Qu.:1724.5 3rd Qu.: 84.00 3rd Qu.:3.000 3rd Qu.:4.000
## Max. :2299.0 Max. :104.00 Max. :4.000 Max. :4.000
## body_height MNAa_q3 body_weight MNAb_tot
## Min. :109.0 Min. :0.000 Min. :21.10 Min. : 3.00
## 1st Qu.:148.5 1st Qu.:2.000 1st Qu.:50.05 1st Qu.:11.50
## Median :153.4 Median :2.000 Median :56.30 Median :12.50
## Mean :154.2 Mean :1.979 Mean :57.19 Mean :12.07
## 3rd Qu.:160.0 3rd Qu.:2.000 3rd Qu.:63.80 3rd Qu.:13.00
## Max. :184.0 Max. :2.000 Max. :98.00 Max. :16.00
## waist bmi MNAa_tot
## Min. : 57.50 Min. :13.44 Min. : 4.00
## 1st Qu.: 80.00 1st Qu.:21.57 1st Qu.:12.00
## Median : 86.00 Median :23.82 Median :13.00
## Mean : 86.48 Mean :23.98 Mean :12.85
## 3rd Qu.: 93.00 3rd Qu.:26.20 3rd Qu.:14.00
## Max. :120.00 Max. :56.47 Max. :14.00
## Endocrine.Disease_Hyperlipidaemia MMSE_class_2
## Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000
## Mean :0.2623 Mean :0.1857
## 3rd Qu.:1.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000# Check for missing values
missing_values <- sum(is.na(data))
missing_values## [1] 0# Identify and handle outliers using techniques like Winsorizing, or removing outliers.
# Example: Identify and winsorize outliers in Age
q1 <- quantile(data$Age, 0.25)
q3 <- quantile(data$Age, 0.75)
iqr <- q3 - q1
lower_bound <- q1 - 1.5 * iqr
upper_bound <- q3 + 1.5 * iqr
data$Age[data$Age < lower_bound] <- lower_bound
data$Age[data$Age > upper_bound] <- upper_boundcat("Q1:", q1, "\n")## Q1: 70cat("Q3:", q3, "\n")## Q3: 84cat("IQR:", iqr, "\n")## IQR: 14cat("Lower Bound:", lower_bound, "\n")## Lower Bound: 49cat("Upper Bound:", upper_bound, "\n")## Upper Bound: 105# Remove outliers
data <- data[data$Age >= lower_bound & data$Age <= upper_bound, ]
head(data)## X Age Education_ID Mobility body_height MNAa_q3 body_weight MNAb_tot waist
## 1 1 86 1 4 148.3 2 61.1 10.5 95.0
## 2 2 92 2 4 156.2 2 61.5 15.0 88.0
## 3 3 81 1 4 146.3 2 47.0 13.0 73.5
## 4 4 79 2 4 152.2 2 65.3 14.0 95.0
## 5 5 86 1 4 157.3 2 57.3 11.5 88.0
## 6 6 80 1 4 147.1 2 51.1 13.0 85.0
## bmi MNAa_tot Endocrine.Disease_Hyperlipidaemia MMSE_class_2
## 1 27.76 12 1 0
## 2 25.19 14 0 0
## 3 21.96 13 0 0
## 4 28.17 14 0 0
## 5 23.16 13 1 0
## 6 23.59 14 1 1summary(data$Age)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 51.00 70.00 77.00 77.49 84.00 104.00summary(data$body_height)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 109.0 148.5 153.4 154.2 160.0 184.0summary(data$body_weight)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 21.10 50.05 56.30 57.19 63.80 98.00summary(data$MNAa_tot)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 4.00 12.00 13.00 12.85 14.00 14.00summary(data$MNAb_tot)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 3.00 11.50 12.50 12.07 13.00 16.00summary(data$waist)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 57.50 80.00 86.00 86.48 93.00 120.00summary(data$BMI)## Length Class Mode
## 0 NULL NULLlibrary(ggplot2)
# Example: Bar plot for Hyperlipidaemia
ggplot(data, aes(x = factor(Endocrine.Disease_Hyperlipidaemia))) +
geom_bar() +
labs(title = "Distribution of Hyperlipidaemia", x = "Hyperlipidaemia", y = "Frequency")
ggplot(data, aes(x = factor(Mobility), fill = factor(Mobility))) +
geom_bar() +
labs(title = "Distribution of Mobility",
x = "Mobility",
y = "Frequency")
ggplot(data, aes(x = factor(Education_ID), fill = factor(Education_ID))) +
geom_bar() +
labs(title = "Distribution of Education",
x = "Education",
y = "Frequency")
ggplot(data, aes(x = factor(MNAa_q3), fill = factor(MNAa_q3))) +
geom_bar() +
labs(title = "Distribution of MNAa_q3",
x = "MNAa_q3",
y = "Frequency")
ggplot(data, aes(x = factor(MMSE_class_2), fill = factor(MMSE_class_2))) +
geom_bar() +
labs(title = "Distribution of MMSE_class_2",
x = "MMSE_class_2",
y = "Frequency")
# Create histograms for continuous variables
ggplot(data, aes(x = Age)) +
geom_histogram(binwidth = 5, fill = "blue", color = "black") +
labs(title = "Distribution of Age",
x = "Age",
y = "Frequency")
ggplot(data, aes(x = body_height)) +
geom_histogram(binwidth = 5, fill = "green", color = "black") +
labs(title = "Distribution of Body Height",
x = "Body Height (cm)",
y = "Frequency")
ggplot(data, aes(x = body_weight)) +
geom_histogram(binwidth = 5, fill = "red", color = "black") +
labs(title = "Distribution of Body Weight",
x = "Body Weight (kg)",
y = "Frequency")
ggplot(data, aes(x = MNAa_tot)) +
geom_histogram(binwidth = 1, fill = "purple", color = "black") +
labs(title = "Distribution of MNAa_tot",
x = "MNAa_tot",
y = "Frequency")
ggplot(data, aes(x = MNAb_tot)) +
geom_histogram(binwidth = 1, fill = "orange", color = "black") +
labs(title = "Distribution of MNAb_tot",
x = "MNAb_tot",
y = "Frequency")
ggplot(data, aes(x = waist)) +
geom_histogram(binwidth = 5, fill = "pink", color = "black") +
labs(title = "Distribution of Waist",
x = "Waist Circumference (cm)",
y = "Frequency")
ggplot(data, aes(x = bmi)) +
geom_histogram(binwidth = 1, fill = "blue", color = "black") +
labs(title = "Distribution of BMI",
x = "BMI",
y = "Frequency")
# Example: Scatter plot of Age vs. BMI
ggplot(data, aes(x = Age, y = bmi)) +
geom_point(color = "red") +
labs(title = "Scatter plot of Age vs. BMI", x = "Age", y = "BMI")
# Correlation matrix
correlation_matrix <- cor(data[c("Age", "body_height", "body_weight", "MNAa_tot", "MNAb_tot", "waist", "bmi")])
print(correlation_matrix)## Age body_height body_weight MNAa_tot MNAb_tot
## Age 1.00000000 -0.23968124 -0.1937651 -0.17962709 -0.1632691
## body_height -0.23968124 1.00000000 0.5584275 0.08264676 0.1574497
## body_weight -0.19376511 0.55842745 1.0000000 0.45395095 0.2446275
## MNAa_tot -0.17962709 0.08264676 0.4539510 1.00000000 0.3886480
## MNAb_tot -0.16326910 0.15744971 0.2446275 0.38864797 1.0000000
## waist 0.07347450 0.18027088 0.7863016 0.41440017 0.1641434
## bmi -0.06046809 -0.05468356 0.7900238 0.48800362 0.1868191
## waist bmi
## Age 0.0734745 -0.06046809
## body_height 0.1802709 -0.05468356
## body_weight 0.7863016 0.79002380
## MNAa_tot 0.4144002 0.48800362
## MNAb_tot 0.1641434 0.18681910
## waist 1.0000000 0.80725899
## bmi 0.8072590 1.00000000# Example: Box plot of Age by Education level
ggplot(data, aes(x = factor(Education_ID), y = Age)) +
geom_boxplot(fill = "blue", color = "black") +
labs(title = "Age by Education Level", x = "Education Level", y = "Age")
# Splitting the data into training and testing sets
set.seed(123)
trainIndex <- sample(1:nrow(data), 0.8*nrow(data))
trainData <- data[trainIndex,]
testData <- data[-trainIndex,]
trainData## X Age Education_ID Mobility body_height MNAa_q3 body_weight MNAb_tot
## 2227 2227 69 1 4 144.4 2 53.50 13.0
## 526 526 73 2 4 163.2 2 48.50 9.5
## 195 195 90 2 4 163.6 2 55.70 13.5
## 1842 1842 70 2 4 151.0 2 58.60 12.0
## 1142 1142 69 4 4 164.5 2 68.50 13.0
## 1253 1253 64 2 4 150.0 2 57.70 10.0
## 1268 1268 83 3 4 151.7 2 49.40 12.0
## 1038 1038 68 2 4 150.5 2 53.45 13.5
## 665 665 71 2 4 158.1 2 57.20 12.0
## 1627 1627 95 1 3 138.3 2 54.40 11.0
## 1011 1011 70 3 4 162.5 2 59.30 13.5
## 1115 1115 69 2 4 164.6 2 60.10 11.0
## 953 953 77 3 4 167.0 2 77.90 13.5
## 348 348 86 2 4 151.2 2 60.00 13.5
## 1017 1017 96 1 4 161.5 2 56.10 14.0
## 2013 2013 72 2 4 160.9 2 74.70 13.5
## 1379 1379 88 2 4 150.0 2 51.10 13.0
## 2074 2074 75 2 4 159.4 2 43.30 13.0
## 1450 1450 82 2 4 151.8 2 44.30 11.5
## 1673 1673 76 2 4 155.2 2 55.30 9.5
## 1790 1790 86 1 4 149.6 2 58.50 13.0
## 211 211 77 3 4 151.3 2 55.90 11.0
## 1614 1614 85 1 4 157.0 2 63.50 12.0
## 555 555 94 2 4 150.0 2 57.50 13.5
## 1895 1895 79 2 3 171.4 2 74.60 12.0
## 373 373 86 1 4 152.6 2 60.10 11.5
## 1167 1167 83 2 4 150.1 2 49.20 11.5
## 1799 1799 89 1 4 144.8 2 51.30 13.5
## 905 905 67 3 4 161.9 2 72.00 13.0
## 1866 1866 69 2 4 150.7 2 82.90 12.5
## 1047 1047 76 2 4 149.9 2 54.70 11.0
## 309 309 90 2 3 159.0 2 66.90 13.5
## 1248 1248 70 1 4 162.0 2 64.90 12.5
## 166 166 80 2 4 162.6 2 46.20 10.5
## 217 217 83 3 4 149.7 2 57.60 13.0
## 1314 1314 77 2 4 149.3 2 53.10 12.5
## 2120 2120 72 1 4 153.1 2 50.70 11.5
## 588 588 76 1 4 152.5 2 57.60 13.5
## 1599 1599 64 3 4 154.3 2 48.90 13.0
## 141 141 75 1 4 155.4 2 60.90 10.0
## 722 722 76 1 4 148.0 2 48.10 14.5
## 153 153 80 3 4 150.0 2 59.60 13.0
## 294 294 81 2 4 162.0 2 67.10 12.0
## 277 277 82 1 4 142.0 2 50.60 11.5
## 1487 1487 83 2 4 151.3 2 49.60 10.5
## 41 41 83 1 4 144.5 2 52.20 11.0
## 2138 2138 75 3 4 154.0 2 53.60 11.5
## 316 316 91 1 3 160.0 2 62.80 13.0
## 1183 1183 70 2 4 155.0 2 77.00 12.5
## 752 752 81 3 4 165.5 2 53.70 9.0
## 374 374 93 4 4 154.0 2 53.70 12.0
## 2296 2296 69 2 4 170.0 2 64.60 13.0
## 2033 2033 83 1 4 171.0 2 67.50 12.0
## 2082 2082 89 1 4 171.8 2 72.60 13.5
## 516 516 72 3 4 162.5 2 69.30 11.5
## 13 13 90 1 4 150.0 2 40.40 10.5
## 2117 2117 64 2 4 144.7 2 60.00 13.0
## 2038 2038 65 2 4 170.9 2 64.40 13.5
## 1919 1919 64 4 4 162.6 2 62.10 13.5
## 755 755 70 2 4 153.3 2 41.40 6.5
## 1332 1332 63 3 4 159.3 2 55.00 12.5
## 1113 1113 68 4 4 165.8 2 60.10 9.5
## 1006 1006 70 1 4 145.4 2 59.05 11.0
## 1448 1448 71 1 4 157.3 2 47.90 14.0
## 671 671 67 2 4 147.6 2 53.30 9.0
## 2169 2169 71 2 4 149.6 2 41.10 13.0
## 1134 1134 80 3 4 158.0 2 62.10 13.5
## 1088 1088 62 3 4 156.8 2 56.10 13.5
## 1507 1507 72 3 4 160.5 2 77.20 11.5
## 1934 1934 73 2 4 154.9 2 52.20 11.5
## 1501 1501 71 2 4 161.6 2 56.30 10.0
## 480 480 93 2 4 154.4 2 62.60 12.5
## 2115 2115 69 4 4 161.2 2 67.60 11.0
## 1914 1914 78 2 4 167.7 2 57.40 13.5
## 1871 1871 83 2 3 154.2 2 62.70 13.0
## 1109 1109 76 2 4 160.5 2 62.60 14.0
## 165 165 75 1 4 153.0 2 54.80 13.5
## 1075 1075 68 3 4 149.5 2 44.95 9.5
## 1386 1386 82 3 4 151.7 2 45.80 13.0
## 610 610 88 1 4 141.0 2 57.80 11.0
## 127 127 73 2 4 152.9 2 51.00 11.0
## 686 686 93 2 4 152.3 2 44.40 6.5
## 1982 1982 84 2 4 154.3 2 50.20 12.5
## 931 931 69 3 4 164.2 2 67.50 11.0
## 847 847 67 2 4 160.3 2 83.10 12.5
## 983 983 68 2 4 155.8 2 53.40 12.0
## 619 619 85 2 4 144.3 2 44.00 11.0
## 1927 1927 77 1 4 158.1 2 44.00 10.0
## 477 477 71 3 4 145.6 2 76.50 13.0
## 1999 1999 83 3 4 164.4 2 52.30 13.0
## 151 151 70 2 4 149.5 2 50.70 12.0
## 1638 1638 70 2 4 153.0 2 52.20 11.5
## 2203 2203 82 1 4 147.4 2 75.90 13.0
## 1029 1029 70 3 4 154.7 2 59.90 11.5
## 326 326 81 3 4 159.0 2 69.50 13.5
## 1956 1956 89 1 1 164.2 2 73.60 13.5
## 1262 1262 68 3 4 161.8 2 50.50 13.0
## 1788 1788 69 1 4 148.1 2 53.10 11.5
## 1363 1363 71 2 4 148.4 2 67.20 13.0
## 985 985 69 4 4 148.4 2 47.35 13.5
## 2087 2087 70 1 4 140.5 2 45.40 12.5
## 986 986 81 3 4 179.6 2 63.00 13.5
## 137 137 75 2 4 154.1 2 46.00 12.0
## 1762 1762 63 2 4 164.4 2 69.25 11.0
## 1584 1584 81 2 3 147.0 2 66.40 11.5
## 589 589 89 1 4 155.4 2 53.50 11.5
## 1903 1903 72 2 4 150.5 2 60.70 11.5
## 2199 2199 88 1 3 131.9 2 39.00 9.5
## 1793 1793 76 1 4 147.3 2 56.70 14.0
## 680 680 69 2 4 155.6 2 54.10 11.5
## 1630 1630 89 2 4 164.0 2 62.30 12.0
## 2200 2200 69 2 4 150.2 2 47.40 13.5
## 1808 1808 91 1 4 145.1 2 42.90 13.0
## 344 344 85 2 4 165.0 2 71.10 13.5
## 2297 2297 67 2 4 163.6 2 68.10 15.0
## 1885 1885 77 2 4 153.4 2 59.50 14.0
## 876 876 71 2 4 165.5 2 62.50 13.5
## 554 554 72 2 4 152.2 2 71.40 13.5
## 2132 2132 79 2 4 170.4 2 65.00 11.5
## 1547 1547 72 2 4 150.8 2 42.70 10.5
## 1326 1326 64 2 4 151.7 2 44.50 10.0
## 706 706 89 2 3 161.4 2 60.70 13.0
## 712 712 73 3 4 148.6 2 57.40 14.0
## 1452 1452 84 2 4 159.1 2 56.30 12.5
## 672 672 78 2 4 146.0 2 58.20 11.5
## 1274 1274 87 4 4 159.8 2 64.80 12.0
## 1828 1828 80 2 4 147.0 2 53.30 13.5
## 528 528 85 2 4 158.0 2 60.30 12.5
## 1569 1569 73 1 4 148.3 2 64.20 10.0
## 2088 2088 81 4 4 154.8 2 42.50 13.5
## 1960 1960 66 1 4 160.3 2 63.30 13.5
## 473 473 69 3 4 159.0 2 47.40 12.0
## 2002 2002 63 3 4 157.7 2 55.70 14.0
## 1149 1149 87 1 4 157.5 2 57.80 14.0
## 2037 2037 76 2 4 158.5 2 61.00 13.5
## 2212 2212 81 1 4 155.7 2 60.40 13.0
## 458 458 87 1 3 140.5 2 55.10 12.5
## 831 831 68 3 4 151.6 2 55.70 12.5
## 1078 1078 63 2 4 154.6 2 66.00 10.5
## 919 919 80 2 4 161.4 2 64.20 13.0
## 1562 1562 71 2 4 151.7 2 58.80 12.5
## 1313 1313 83 1 4 147.4 2 64.10 11.0
## 185 185 101 1 4 145.0 2 46.80 11.5
## 413 413 79 2 4 160.2 2 58.20 12.5
## 627 627 90 1 4 147.5 2 57.50 12.0
## 1333 1333 67 2 4 145.5 2 49.10 10.0
## 1899 1899 71 2 4 151.8 2 51.90 10.5
## 779 779 97 1 3 147.0 2 54.00 13.0
## 1561 1561 86 2 4 149.3 2 59.10 13.0
## 564 564 91 1 3 156.0 1 49.50 12.0
## 794 794 69 2 4 156.5 2 39.70 7.0
## 1415 1415 83 1 4 158.0 2 66.40 12.5
## 1370 1370 65 1 4 149.8 2 61.60 13.0
## 160 160 85 1 4 157.0 2 57.00 14.0
## 617 617 86 1 1 135.0 2 62.90 12.5
## 357 357 81 1 3 147.2 2 55.00 13.5
## 279 279 85 1 4 158.0 2 75.30 14.5
## 270 270 87 1 3 148.0 2 59.40 11.0
## 618 618 89 2 4 165.7 2 67.50 13.0
## 1905 1905 87 1 3 159.4 2 71.20 10.5
## 337 337 84 2 4 147.4 2 47.80 6.5
## 2282 2282 66 2 4 153.9 2 50.50 13.0
## 539 539 83 1 4 146.0 2 51.00 10.0
## 981 981 67 2 3 144.5 2 68.70 14.5
## 956 956 67 2 4 157.9 2 54.30 12.0
## 1781 1781 64 3 4 154.6 2 56.00 9.5
## 1690 1690 66 3 4 143.8 2 44.80 9.0
## 1522 1522 89 2 4 157.8 2 68.30 10.5
## 1445 1445 80 2 4 146.9 2 38.90 9.0
## 1081 1081 65 3 4 163.4 2 55.00 12.0
## 1697 1697 64 2 4 161.5 2 62.40 14.0
## 1413 1413 81 1 4 155.0 2 70.20 13.0
## 117 117 91 3 4 145.3 2 51.40 12.5
## 648 648 70 2 4 154.0 2 64.10 12.0
## 1079 1079 72 2 4 155.1 2 64.45 14.5
## 1241 1241 71 3 4 164.5 2 70.60 12.0
## 1706 1706 68 3 4 157.4 2 58.60 13.5
## 873 873 74 2 4 157.0 2 59.50 12.5
## 757 757 95 1 3 151.0 2 60.20 12.5
## 1965 1965 66 2 4 163.5 2 57.90 13.5
## 988 988 94 2 4 151.3 2 55.40 13.5
## 711 711 83 3 4 145.0 2 53.50 13.0
## 1492 1492 74 2 4 147.4 2 56.40 9.5
## 1234 1234 80 1 4 153.5 2 50.50 12.5
## 349 349 84 1 4 150.5 2 54.00 14.0
## 1425 1425 85 2 4 160.2 2 61.40 11.5
## 386 386 77 3 4 151.0 2 50.00 13.5
## 1165 1165 83 2 4 147.5 2 58.60 11.5
## 2072 2072 68 1 4 167.2 2 53.10 13.5
## 1987 1987 63 2 4 170.1 2 70.60 12.5
## 1154 1154 84 4 4 165.0 2 51.70 13.0
## 1727 1727 68 3 4 160.0 2 53.00 14.0
## 1612 1612 87 1 4 145.1 2 46.60 10.0
## 1401 1401 83 1 4 158.0 2 72.80 13.0
## 1469 1469 77 3 4 149.0 2 53.80 12.5
## 710 710 70 2 4 173.9 2 82.70 10.5
## 1258 1258 75 1 4 147.5 2 56.30 12.5
## 2231 2231 79 1 4 153.9 2 69.00 13.0
## 1347 1347 61 2 4 152.6 2 61.00 14.0
## 791 791 69 2 4 161.0 2 64.60 9.0
## 2110 2110 69 2 4 160.3 2 71.90 12.5
## 2271 2271 67 4 4 169.9 2 74.90 14.0
## 1341 1341 65 2 4 154.1 2 55.50 12.5
## 807 807 67 3 4 149.5 2 45.30 11.5
## 1246 1246 86 1 4 147.0 2 64.50 12.5
## 1311 1311 83 2 3 156.4 2 76.00 11.0
## 1758 1758 64 3 4 157.9 2 50.80 14.0
## 292 292 81 3 4 154.3 2 66.40 13.0
## 1250 1250 85 2 4 154.2 2 56.00 14.0
## 1814 1814 80 2 4 171.2 2 60.20 12.5
## 1708 1708 72 2 4 149.1 2 45.00 10.5
## 297 297 85 2 4 138.7 2 56.50 13.0
## 860 860 99 1 3 134.8 2 45.90 11.0
## 605 605 78 2 4 157.9 2 54.80 11.5
## 1835 1835 88 1 3 152.3 2 60.50 9.5
## 1261 1261 71 2 4 160.0 2 48.60 11.5
## 2213 2213 84 2 4 157.3 2 53.40 10.5
## 1057 1057 92 2 3 148.0 2 42.70 8.5
## 83 83 92 1 4 143.0 2 41.30 10.0
## 866 866 88 1 3 169.2 2 76.30 12.5
## 1023 1023 68 3 4 158.8 2 64.55 12.5
## 76 76 85 1 4 152.5 2 49.30 13.5
## 1118 1118 71 3 4 158.0 2 59.10 13.0
## 2106 2106 66 2 4 156.7 2 48.90 12.5
## 1382 1382 75 1 4 149.0 2 61.80 12.0
## 682 682 72 3 4 152.0 2 51.30 12.5
## 2236 2236 64 2 4 156.5 2 60.50 12.5
## 2159 2159 74 2 4 147.3 2 50.50 13.5
## 989 989 85 1 4 148.0 2 54.00 12.0
## 1961 1961 69 2 4 171.1 2 79.80 14.0
## 1738 1738 83 3 4 150.0 2 54.40 13.0
## 1471 1471 71 3 4 148.3 2 43.40 10.5
## 1362 1362 68 2 4 149.8 2 52.20 13.0
## 243 243 86 2 3 152.0 2 45.00 8.5
## 2059 2059 72 2 4 171.0 2 66.80 11.0
## 625 625 78 2 4 147.3 2 55.00 13.5
## 2113 2113 62 2 4 144.8 2 49.50 12.0
## 461 461 83 2 4 152.3 2 48.10 12.0
## 2260 2260 62 2 4 157.3 2 57.40 12.5
## 31 31 90 2 4 140.4 2 37.40 8.0
## 1950 1950 66 2 4 150.4 2 45.65 11.5
## 1139 1139 80 1 4 146.5 2 41.60 10.0
## 2090 2090 80 2 4 171.9 2 61.20 12.5
## 94 94 76 3 4 153.5 2 73.10 13.5
## 16 16 93 1 4 137.5 2 40.90 14.0
## 178 178 82 3 4 150.7 2 46.70 11.0
## 1436 1436 72 2 4 162.0 2 71.80 12.5
## 524 524 77 1 4 150.0 2 59.00 13.0
## 1461 1461 75 1 4 151.0 2 52.30 11.5
## 924 924 77 3 4 149.1 2 58.20 13.5
## 1602 1602 74 2 4 149.1 2 55.10 13.5
## 1586 1586 79 1 4 153.5 2 61.40 12.5
## 204 204 79 3 4 146.0 2 47.30 11.5
## 1199 1199 79 1 4 158.4 2 67.00 11.5
## 1971 1971 70 2 4 154.7 2 60.30 12.5
## 2274 2274 87 2 3 148.4 2 44.80 13.5
## 646 646 84 2 4 140.5 2 54.20 14.5
## 1488 1488 84 2 4 146.5 2 47.50 14.5
## 384 384 87 1 4 155.0 2 59.50 13.0
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## 1423 1423 89 1 4 165.1 2 57.20 10.5
## 1427 1427 67 4 4 163.6 2 63.80 12.5
## 315 315 97 1 3 161.0 2 74.00 13.5
## 259 259 88 1 4 155.5 2 46.00 12.0
## 494 494 89 1 4 165.9 2 72.90 9.0
## 1889 1889 79 2 4 140.5 2 52.10 7.5
## 1784 1784 63 2 4 154.3 2 57.10 12.0
## 2158 2158 66 3 4 161.1 2 52.00 12.0
## 1072 1072 80 3 4 162.9 2 68.80 14.0
## 1355 1355 65 2 4 153.2 2 61.90 14.0
## 1124 1124 69 1 4 153.1 2 66.00 12.0
## 1016 1016 65 2 4 157.5 2 73.60 9.0
## 1132 1132 70 3 4 158.7 2 55.50 11.0
## 1325 1325 77 1 4 153.7 2 65.00 14.0
## 10 10 99 1 4 140.0 2 48.30 8.5
## 170 170 81 3 4 161.1 2 55.85 9.5
## 1304 1304 93 1 4 148.6 2 53.60 11.5
## 1372 1372 67 3 4 159.4 2 45.00 13.5
## 402 402 81 1 4 149.0 2 58.60 10.0
## 1233 1233 74 3 4 165.0 2 53.50 12.5
## 2243 2243 82 1 4 144.6 2 54.40 13.5
## 1851 1851 66 2 3 146.6 2 51.70 11.0
## 2280 2280 73 1 4 155.1 2 60.00 12.5
## 2154 2154 72 2 4 161.7 2 56.30 13.5
## 1419 1419 82 2 4 145.6 2 42.00 10.5
## 108 108 84 1 4 151.6 2 52.50 13.0
## 8 8 85 3 4 153.4 0 61.60 11.5
## 626 626 76 3 4 148.2 2 58.00 11.5
## 261 261 82 1 4 142.1 2 42.80 13.5
## 541 541 97 1 4 143.0 2 34.30 3.0
## 1330 1330 83 1 4 158.3 2 54.10 13.0
## 2205 2205 85 1 4 157.8 2 52.20 11.5
## 1098 1098 74 3 4 147.8 2 49.05 13.5
## 282 282 88 1 4 152.3 2 49.50 13.0
## 1609 1609 89 2 4 150.1 2 70.50 13.0
## 1291 1291 87 2 4 163.9 2 57.50 12.0
## 1911 1911 72 2 4 150.4 2 52.10 13.5
## 1286 1286 69 3 4 157.8 2 65.10 14.0
## 1760 1760 83 2 3 143.3 2 48.50 11.5
## 2047 2047 73 2 4 161.8 2 73.40 13.5
## 1747 1747 69 2 4 153.1 2 40.00 10.5
## 1243 1243 86 1 3 163.0 2 54.90 11.5
## 696 696 68 3 4 154.1 2 47.90 13.5
## 1376 1376 73 1 4 150.2 2 56.90 13.0
## 667 667 77 3 4 147.4 2 57.50 12.0
## 990 990 76 1 4 156.7 2 54.25 14.5
## 1143 1143 79 3 4 155.1 2 52.60 10.0
## 452 452 78 2 4 154.8 2 66.70 12.0
## 856 856 88 1 4 156.1 2 44.00 7.5
## 1948 1948 67 2 4 162.2 2 86.60 11.0
## 1603 1603 72 2 4 154.1 2 56.50 9.5
## 622 622 80 1 4 163.7 2 73.30 13.5
## 2234 2234 67 2 4 167.4 2 58.20 14.0
## 2043 2043 70 1 4 154.2 2 64.20 13.5
## 1060 1060 92 1 1 134.0 1 37.90 10.0
## 2125 2125 65 1 4 154.2 2 64.70 11.0
## 1514 1514 77 2 4 156.0 2 58.70 12.0
## 1264 1264 74 3 4 169.9 2 59.20 10.0
## 891 891 65 2 4 153.8 2 53.60 11.5
## 1656 1656 81 2 4 164.1 2 65.90 12.5
## 1886 1886 71 2 4 161.3 2 60.00 12.5
## 1328 1328 74 1 4 174.2 2 66.50 12.5
## 1034 1034 79 2 4 147.3 2 58.80 12.0
## 2291 2291 66 2 4 144.2 2 55.00 12.5
## 1446 1446 85 2 4 160.7 2 65.10 12.5
## 1636 1636 85 2 4 153.2 2 62.70 13.5
## 1129 1129 82 2 4 140.5 2 44.60 12.0
## 793 793 72 3 4 159.7 2 55.10 10.0
## 1412 1412 92 1 3 146.0 2 45.90 12.5
## 463 463 71 3 4 166.0 2 70.60 13.0
## 1204 1204 94 1 4 152.0 2 53.20 12.5
## 278 278 80 2 4 151.0 2 50.70 13.0
## 1397 1397 97 1 3 163.0 2 68.50 13.0
## 241 241 90 2 3 146.7 2 48.90 10.5
## 24 24 96 2 4 145.6 2 55.90 11.0
## 679 679 82 1 4 155.9 2 40.80 11.5
## 1583 1583 77 2 4 155.1 2 57.00 12.0
## 2108 2108 70 2 4 160.5 2 74.20 14.5
## 37 37 90 1 4 152.4 2 56.30 11.0
## 2218 2218 67 2 4 161.7 2 66.80 13.5
## 566 566 91 1 4 148.0 2 48.60 10.0
## 1327 1327 67 3 4 159.8 2 54.30 14.5
## 1743 1743 83 2 4 147.5 2 54.50 11.5
## 1936 1936 78 2 4 149.8 2 39.60 9.5
## 19 19 88 1 4 158.7 2 55.90 12.0
## 1736 1736 66 2 3 172.6 2 87.00 10.0
## 1695 1695 69 3 4 157.2 2 47.60 12.5
## 378 378 89 3 4 154.0 2 61.00 13.5
## 549 549 70 1 4 149.5 2 58.00 13.5
## 1639 1639 71 2 4 156.0 2 53.70 10.5
## 2293 2293 70 2 4 137.5 2 43.90 13.5
## 48 48 80 1 4 146.6 2 50.90 12.5
## 1212 1212 78 2 4 154.4 2 56.20 9.5
## 464 464 72 3 4 160.7 2 57.25 12.5
## 393 393 74 4 4 161.8 2 67.30 11.5
## 1163 1163 81 2 4 148.5 2 45.00 10.0
## 1323 1323 81 1 4 152.5 2 72.40 13.5
## 1395 1395 83 1 4 153.0 2 52.70 13.5
## 670 670 82 3 4 170.5 2 79.40 14.5
## 1213 1213 90 3 4 151.2 2 59.50 13.0
## 311 311 91 2 4 153.0 2 57.50 13.0
## 189 189 88 1 4 155.5 2 64.90 13.0
## 1442 1442 67 3 4 151.2 2 54.40 13.0
## 1593 1593 68 2 4 152.3 2 56.00 11.5
## 1406 1406 87 1 2 145.0 2 46.90 10.0
## 38 38 87 1 4 146.8 2 57.00 9.5
## 1108 1108 70 1 4 147.4 2 56.80 11.0
## 319 319 84 2 4 171.0 2 65.60 13.0
## 2099 2099 81 4 4 147.7 2 55.50 12.5
## 846 846 76 1 4 156.8 2 53.90 8.5
## 1862 1862 83 1 4 145.9 2 54.70 13.0
## 1426 1426 80 2 4 149.1 2 35.90 10.0
## 1666 1666 89 2 3 154.6 2 64.60 11.5
## 120 120 73 3 4 149.8 2 51.40 10.5
## 2177 2177 78 3 4 170.8 2 55.60 12.5
## 2030 2030 93 3 2 160.1 2 45.40 12.5
## 1557 1557 71 2 4 153.0 2 49.30 10.0
## 441 441 93 1 3 162.0 2 64.00 12.0
## 1223 1223 77 1 4 141.2 2 48.90 10.5
## 1523 1523 75 2 4 140.9 2 31.10 7.0
## 599 599 77 3 4 158.1 2 62.70 12.0
## 72 72 88 1 4 153.0 2 56.70 11.0
## 1339 1339 82 1 4 158.1 2 69.10 13.5
## 714 714 76 2 4 164.5 2 61.30 11.0
## 677 677 78 2 4 153.6 2 56.50 13.5
## 81 81 99 1 4 144.0 2 44.10 12.0
## 1984 1984 64 2 4 164.4 2 75.00 12.5
## 134 134 89 1 4 143.0 2 35.20 8.5
## 424 424 72 2 4 149.9 2 58.80 13.5
## 756 756 80 1 4 143.7 2 39.80 11.0
## 6 6 80 1 4 147.1 2 51.10 13.0
## 1152 1152 82 1 4 146.8 2 59.50 11.5
## 879 879 71 2 4 160.2 2 71.40 14.5
## 668 668 84 4 3 159.2 2 77.50 11.0
## 1824 1824 86 1 4 146.0 2 49.80 10.0
## 49 49 93 1 4 138.6 2 41.50 13.0
## 1763 1763 68 2 4 150.5 2 50.20 11.0
## 1500 1500 74 3 4 159.1 2 46.50 13.5
## 1263 1263 71 3 4 148.2 2 53.70 10.5
## 1364 1364 63 2 4 158.4 2 43.00 11.5
## 193 193 76 3 4 172.6 2 76.00 13.5
## 709 709 70 3 4 147.4 2 44.30 13.5
## 459 459 92 2 4 143.5 1 41.30 12.5
## 303 303 82 2 4 152.0 2 38.10 10.5
## 1172 1172 83 1 4 145.5 2 58.20 13.5
## 898 898 69 2 4 147.7 2 46.20 14.0
## 190 190 72 3 4 168.9 2 61.30 10.5
## 1648 1648 79 2 3 151.7 2 60.60 9.0
## 191 191 73 2 4 154.4 2 49.50 11.5
## 446 446 83 3 4 151.0 2 47.20 14.0
## 119 119 84 2 4 143.9 2 47.40 11.5
## 1651 1651 77 3 4 161.5 2 53.20 13.0
## 1546 1546 70 3 4 157.1 2 57.50 13.0
## 1888 1888 68 2 4 155.9 2 51.40 15.5
## 1083 1083 86 2 4 161.6 2 55.90 10.0
## 817 817 94 1 4 150.8 2 59.80 9.5
## 61 61 69 3 4 145.4 2 51.40 12.5
## 1975 1975 69 2 4 156.0 2 64.10 13.0
## 2027 2027 71 2 4 170.0 2 76.90 13.5
## 1316 1316 78 2 4 150.0 2 48.40 10.0
## 1967 1967 63 2 4 152.2 2 51.80 14.0
## 1559 1559 86 1 4 149.6 2 53.90 8.5
## 115 115 83 2 4 160.0 2 62.20 12.5
## 930 930 77 2 4 153.8 2 64.30 12.5
## 1624 1624 85 1 4 157.2 2 55.60 15.0
## 1668 1668 63 3 4 149.7 2 40.20 9.0
## 950 950 73 3 4 162.1 2 52.40 8.0
## 1437 1437 68 3 4 158.0 2 71.90 13.5
## 698 698 78 2 4 164.2 2 57.00 12.0
## 2214 2214 69 1 4 152.0 2 51.50 12.5
## 1787 1787 65 2 4 148.7 2 40.40 11.0
## 1227 1227 85 1 4 153.0 2 62.40 14.5
## 758 758 80 2 4 150.0 2 48.20 12.5
## 993 993 71 2 4 153.6 2 65.20 12.5
## 1270 1270 93 1 3 140.6 2 37.40 9.5
## 1464 1464 81 3 4 155.9 2 45.70 13.5
## 947 947 75 3 4 148.5 2 64.70 10.0
## 690 690 81 2 4 156.6 2 64.25 12.0
## 251 251 82 1 3 152.3 2 62.80 12.5
## 560 560 80 3 4 170.5 2 68.40 12.0
## 643 643 80 3 4 160.9 2 58.00 12.5
## 545 545 88 1 4 156.0 2 43.00 12.5
## 1994 1994 85 1 3 149.4 2 42.40 12.0
## 162 162 81 1 4 160.8 2 43.90 11.0
## 1346 1346 65 1 4 156.7 2 52.00 13.0
## 576 576 77 2 4 119.6 2 21.10 11.0
## 168 168 79 3 4 153.0 2 49.80 10.5
## 1466 1466 91 1 4 141.9 2 54.10 9.5
## 788 788 81 2 4 155.1 2 67.90 12.0
## 78 78 86 2 4 166.0 2 46.70 8.0
## 1976 1976 69 2 4 174.1 2 86.40 13.5
## 1517 1517 74 2 4 160.3 2 43.40 7.0
## 1921 1921 69 1 4 149.0 2 57.60 13.0
## 2073 2073 79 1 4 150.5 2 62.60 12.5
## 445 445 92 1 4 151.5 2 71.90 11.5
## 995 995 96 1 3 148.4 2 51.60 12.0
## 95 95 89 2 4 152.4 2 50.20 10.0
## 2042 2042 77 1 4 157.7 2 59.70 12.0
## 379 379 96 1 3 149.5 2 55.60 13.0
## 1366 1366 78 2 3 155.6 2 76.70 12.0
## 221 221 87 1 4 144.0 2 35.60 7.0
## 1997 1997 69 1 4 165.0 2 74.70 13.5
## 1185 1185 96 4 4 166.0 2 47.30 13.0
## 620 620 75 2 4 148.5 2 48.00 12.5
## 448 448 79 1 4 163.5 2 50.70 10.0
## 242 242 84 1 4 157.5 2 44.30 8.5
## 1717 1717 64 3 4 157.7 2 87.80 14.0
## 927 927 71 3 4 169.4 2 60.00 12.0
## 814 814 68 2 4 148.0 2 49.40 13.0
## 1560 1560 72 2 4 152.0 2 44.80 5.5
## 926 926 67 3 4 158.9 2 52.00 10.0
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## 2267 2267 82 2 4 152.6 2 58.30 13.5
## 785 785 75 2 4 166.5 2 88.70 15.5
## 1498 1498 64 3 4 158.9 2 44.10 12.5
## 699 699 69 3 4 153.2 2 56.40 15.0
## 1465 1465 68 2 4 157.7 2 73.00 12.0
## 1195 1195 84 2 4 140.5 2 50.10 14.0
## 2269 2269 70 2 4 166.2 2 51.10 13.5
## 218 218 75 2 4 154.4 2 62.80 13.0
## 1508 1508 74 2 4 146.7 2 63.50 13.5
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## 79 79 96 2 4 146.0 2 47.40 9.5
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## 1531 1531 84 2 4 151.9 2 45.00 8.5
## 1188 1188 68 3 4 167.8 2 73.50 13.0
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## 579 579 79 1 4 143.5 2 45.70 11.0
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## 2241 2241 66 3 4 167.4 2 59.20 14.0
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## 1295 1295 87 3 1 163.5 0 70.80 10.0
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## 1191 1191 64 3 4 152.5 2 67.70 13.5
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## 331 331 70 2 4 161.0 2 69.00 13.0
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## 1001 1001 73 2 4 150.8 2 41.15 11.5
## 601 601 88 1 4 138.5 0 34.20 11.0
## 1880 1880 80 1 4 146.0 2 42.20 12.0
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## 1287 1287 75 2 4 149.7 2 57.20 10.5
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## 834 834 72 1 4 145.9 2 63.40 10.0
## 1917 1917 65 1 4 156.2 2 54.10 14.0
## 2066 2066 78 3 4 165.1 2 73.30 11.5
## 1289 1289 69 2 4 167.4 2 57.90 12.5
## 535 535 91 1 4 142.0 2 50.20 13.0
## 1972 1972 69 1 4 154.9 2 72.60 13.5
## 982 982 72 3 4 150.2 2 60.10 12.5
## 112 112 85 2 4 164.0 2 59.10 13.0
## 456 456 88 1 3 142.0 2 40.10 10.0
## 1117 1117 93 1 4 154.0 2 67.95 13.0
## 1513 1513 83 2 4 158.4 2 68.50 14.5
## 789 789 91 1 4 149.5 2 49.60 11.5
## 631 631 99 4 3 140.2 0 45.50 11.5
## 1990 1990 79 1 4 147.6 2 37.70 14.0
## 969 969 77 1 4 160.4 2 65.40 12.0
## 482 482 89 1 4 157.8 2 43.80 10.5
## 1272 1272 95 1 4 161.3 2 57.20 12.5
## 105 105 87 2 4 139.6 2 53.90 13.0
## 1821 1821 72 3 4 143.4 2 50.80 13.5
## 1838 1838 70 2 3 154.0 2 66.10 9.0
## 1897 1897 80 1 4 143.6 2 60.20 11.5
## 2245 2245 73 3 4 151.4 2 69.50 11.5
## 2001 2001 75 2 4 150.6 2 52.40 13.0
## 1336 1336 69 1 4 151.6 2 44.40 13.0
## 2048 2048 62 2 4 139.2 2 46.60 14.0
## 892 892 68 3 4 169.6 2 70.20 11.5
## 139 139 86 2 4 159.1 2 52.90 13.0
## 481 481 92 1 4 151.0 2 41.00 11.5
## 843 843 77 1 3 174.9 2 68.30 12.0
## 250 250 84 4 4 171.8 2 77.80 13.0
## 330 330 91 2 4 142.5 2 42.40 11.0
## 633 633 74 1 4 151.8 2 73.60 13.5
## 2185 2185 70 2 4 157.3 2 58.00 12.5
## 1123 1123 87 2 4 159.7 2 49.40 11.5
## 1122 1122 73 4 4 170.5 2 84.90 11.0
## 1082 1082 78 2 4 154.5 2 56.80 13.0
## 1846 1846 81 1 4 150.9 2 57.80 7.0
## 2119 2119 69 1 4 159.7 2 65.70 11.0
## 1549 1549 69 2 4 166.0 2 54.40 10.0
## 2284 2284 69 2 4 155.6 2 50.50 12.5
## 258 258 85 2 4 160.5 2 59.00 13.5
## 635 635 84 2 3 147.1 2 50.00 14.0
## 262 262 83 1 4 155.3 2 47.70 10.5
## 1753 1753 62 2 4 149.9 2 73.60 12.5
## 1645 1645 64 1 4 159.2 2 77.50 13.0
## 928 928 79 2 4 161.9 2 61.30 12.5
## 206 206 73 2 4 144.2 2 45.00 13.5
## 199 199 77 3 4 165.8 2 65.90 14.5
## 1616 1616 72 2 4 156.8 2 62.60 12.0
## 2103 2103 77 3 4 157.2 2 54.20 13.0
## 1592 1592 81 2 4 146.5 2 61.20 12.5
## 1913 1913 71 2 4 162.5 2 67.80 11.5
## 1555 1555 65 2 4 155.2 2 55.80 12.5
## 753 753 86 1 4 165.0 2 68.50 13.5
## 1512 1512 65 3 4 149.4 2 45.60 13.5
## 1759 1759 64 4 4 154.6 2 45.70 13.0
## 398 398 76 3 4 172.5 2 64.50 13.5
## 1242 1242 64 3 4 169.0 2 66.10 11.5
## 1179 1179 77 3 4 142.2 2 65.30 9.5
## 2020 2020 70 2 4 150.5 2 52.90 13.0
## 2171 2171 63 2 4 158.3 2 51.80 13.5
## 818 818 69 1 4 147.7 2 51.00 8.0
## 1702 1702 70 2 4 152.0 2 45.30 12.0
## 660 660 88 4 4 150.9 2 72.00 14.5
## 347 347 92 2 4 155.5 2 50.50 10.0
## 2007 2007 70 1 4 156.1 2 51.20 13.5
## 1353 1353 67 1 4 158.0 2 60.90 14.0
## 2235 2235 82 3 4 141.1 2 41.80 14.0
## 2201 2201 96 1 4 144.4 2 42.30 12.5
## 55 55 79 1 4 155.8 2 61.80 13.5
## 1271 1271 78 2 4 156.8 2 49.10 13.0
## 1394 1394 92 1 4 137.0 2 57.60 10.5
## 1554 1554 86 2 4 153.2 2 46.20 12.0
## 1684 1684 63 2 4 168.2 2 68.50 12.0
## 1068 1068 64 3 4 171.7 2 82.00 11.5
## 2192 2192 69 3 4 171.3 2 98.00 12.5
## 1923 1923 84 1 4 147.0 2 54.30 8.5
## 1400 1400 95 1 4 145.0 2 43.60 12.5
## 932 932 70 2 4 157.4 2 70.10 12.5
## 1933 1933 77 2 4 149.6 2 62.80 12.5
## 1632 1632 87 2 4 151.5 2 49.50 13.0
## 194 194 79 3 4 166.3 2 54.60 14.0
## 460 460 97 1 3 158.5 2 59.00 13.5
## 1854 1854 66 2 4 165.2 2 59.90 12.5
## 1101 1101 64 2 4 149.2 2 59.60 12.5
## 998 998 78 2 4 149.1 2 48.40 12.5
## 1290 1290 84 1 4 149.5 2 56.40 13.0
## 713 713 74 2 4 146.0 2 53.70 12.5
## 355 355 86 4 4 154.8 2 51.60 12.5
## 470 470 74 3 4 166.0 2 57.20 12.5
## 339 339 89 2 3 152.0 2 56.80 12.0
## 200 200 85 2 4 137.8 2 45.30 12.5
## 2084 2084 71 2 4 148.8 2 40.10 12.5
## 2270 2270 79 3 4 155.8 2 71.90 13.5
## 1596 1596 76 3 4 141.0 2 51.90 6.5
## 1404 1404 89 1 4 155.0 2 64.20 12.5
## 893 893 72 3 4 168.0 2 71.10 13.0
## 766 766 69 2 4 152.1 2 42.60 10.0
## 1136 1136 71 1 4 153.8 2 65.50 9.0
## 2206 2206 73 1 4 168.8 2 60.60 11.0
## 469 469 78 1 4 149.0 2 54.20 11.0
## 479 479 93 2 4 142.7 2 42.50 12.0
## 612 612 80 3 4 158.5 2 65.40 13.5
## 1435 1435 86 2 4 146.1 2 57.00 12.5
## 1431 1431 71 2 4 159.6 2 65.20 10.5
## 746 746 94 1 4 145.0 2 49.80 11.0
## 1601 1601 86 2 4 150.0 2 53.70 12.0
## 2148 2148 81 3 4 158.9 2 68.50 13.5
## 290 290 84 2 4 147.0 2 45.00 12.5
## 1752 1752 89 1 2 138.6 2 63.30 11.5
## 466 466 74 1 4 149.7 2 43.10 10.0
## 488 488 76 3 4 170.5 2 73.00 13.0
## 1831 1831 81 3 4 146.3 2 50.60 13.5
## 1633 1633 92 1 4 146.9 2 51.00 11.0
## 2065 2065 68 2 4 153.2 2 61.40 13.5
## 1502 1502 72 3 4 147.0 2 45.00 12.0
## 321 321 71 2 4 164.0 2 53.90 10.0
## 9 9 91 1 4 157.0 2 59.60 11.0
## 867 867 89 1 3 148.4 2 51.80 11.0
## 281 281 80 3 4 144.5 2 65.30 13.5
## 642 642 81 2 4 144.0 2 46.90 13.5
## 907 907 88 3 4 142.9 2 35.50 10.0
## 708 708 76 2 4 152.6 2 65.20 13.0
## 1064 1064 68 3 4 150.6 2 61.45 11.0
## 2275 2275 75 3 4 148.5 2 58.50 14.0
## 1020 1020 65 4 4 162.2 2 65.60 14.0
## 18 18 82 3 4 155.5 2 55.65 14.0
## 1873 1873 80 1 4 147.3 2 45.40 12.5
## 1580 1580 73 1 4 147.3 2 57.50 13.0
## 963 963 82 1 4 147.9 2 49.70 13.0
## 2286 2286 65 2 4 153.3 2 47.40 13.5
## 2134 2134 95 1 4 147.6 2 45.30 10.0
## 878 878 66 3 4 156.4 2 57.50 10.0
## 383 383 94 1 4 159.5 2 61.90 13.0
## 2209 2209 68 2 4 152.8 2 60.10 11.0
## 2181 2181 86 1 3 139.3 1 41.90 12.5
## 471 471 82 1 3 154.5 2 63.70 12.0
## 1777 1777 67 2 4 154.5 2 46.85 13.5
## 2186 2186 82 1 4 145.5 2 53.50 11.0
## 1853 1853 67 3 4 152.0 2 51.10 10.5
## 161 161 70 2 4 157.6 2 72.20 9.5
## 421 421 85 2 4 167.5 2 53.90 8.5
## 444 444 78 1 3 144.8 2 66.50 13.5
## 29 29 84 1 4 146.0 2 45.70 10.0
## 1605 1605 65 2 4 151.9 2 50.60 11.5
## 1265 1265 83 2 4 154.8 2 66.60 11.0
## 1849 1849 77 2 4 151.5 2 54.30 11.0
## 1066 1066 70 3 4 182.9 2 78.70 12.5
## 44 44 87 2 4 152.7 2 49.50 11.0
## 224 224 69 2 4 148.6 2 70.60 11.5
## 1761 1761 66 2 4 151.4 2 52.70 12.0
## 912 912 63 3 4 166.1 2 63.40 11.5
## 551 551 89 2 4 150.0 2 63.60 12.5
## 352 352 82 3 4 164.0 2 67.70 12.0
## 833 833 90 3 4 163.4 2 71.60 13.5
## 2265 2265 65 2 4 147.3 2 50.40 13.5
## 1617 1617 86 2 4 154.2 2 52.40 12.5
## 683 683 72 2 4 159.6 2 57.30 14.0
## 1475 1475 85 4 4 169.8 2 65.10 13.0
## 56 56 78 2 4 156.5 2 68.40 13.5
## 1302 1302 87 2 4 144.3 2 49.20 12.5
## 2114 2114 82 2 4 154.0 2 50.80 12.0
## 654 654 94 1 3 145.2 2 50.50 11.5
## 1731 1731 69 3 4 162.4 2 59.40 13.5
## 375 375 99 1 4 143.0 2 46.60 10.5
## 1652 1652 70 2 4 152.8 2 53.70 12.5
## 1655 1655 65 2 4 150.5 2 44.90 12.0
## 1573 1573 79 2 3 162.4 2 61.10 12.5
## 1571 1571 90 1 4 149.3 2 48.90 10.0
## 86 86 94 3 4 146.0 1 54.60 9.0
## 1458 1458 77 2 4 142.2 2 51.20 12.0
## 17 17 88 1 4 144.2 2 39.80 10.5
## 649 649 71 2 4 148.1 2 47.00 12.5
## 163 163 73 1 4 156.9 2 61.20 13.0
## 1209 1209 81 2 4 150.1 2 47.40 13.0
## 656 656 76 3 4 164.0 2 65.90 10.5
## 820 820 76 3 4 153.7 2 72.10 13.0
## 474 474 76 4 4 151.0 2 45.40 13.0
## 1548 1548 68 3 4 154.2 2 52.00 12.5
## 35 35 93 1 4 143.5 2 49.80 10.0
## 781 781 71 2 4 162.4 2 54.70 12.5
## 1985 1985 72 2 4 152.8 2 52.40 13.5
## 503 503 86 2 4 151.0 2 53.90 13.0
## 409 409 87 1 4 149.0 2 73.90 12.5
## 1052 1052 91 2 3 156.7 2 76.90 15.0
## 669 669 74 1 4 158.8 2 62.50 11.0
## 973 973 64 3 4 159.8 2 66.20 13.5
## 812 812 78 3 4 150.9 2 66.20 12.5
## 1334 1334 66 4 4 165.0 2 62.35 12.5
## 1177 1177 77 1 4 152.0 2 53.30 11.0
## 1309 1309 88 2 4 163.0 2 57.10 11.5
## 148 148 81 2 4 170.5 2 54.30 13.0
## 93 93 82 4 4 149.9 2 39.50 12.5
## 269 269 71 2 4 153.5 2 62.70 13.0
## 717 717 94 1 4 160.5 2 54.70 11.5
## 675 675 73 3 4 160.7 2 61.00 12.5
## 372 372 71 3 4 145.0 2 58.30 13.0
## 517 517 74 2 3 175.8 2 55.80 9.0
## 1689 1689 76 1 4 152.1 2 63.70 9.5
## 77 77 77 1 4 148.0 2 58.50 12.5
## 1902 1902 73 3 4 168.4 2 63.90 13.5
## 2022 2022 69 2 4 160.0 2 73.80 12.5
## 684 684 71 3 4 165.8 2 65.15 13.5
## 584 584 91 1 4 145.0 2 41.80 11.5
## 126 126 71 3 4 150.5 2 46.30 11.0
## 1176 1176 78 2 4 149.0 2 53.40 13.0
## 720 720 72 1 4 147.7 2 49.80 12.5
## 1099 1099 63 2 4 160.2 2 58.85 10.0
## 2204 2204 89 1 4 162.1 2 63.80 12.0
## 2228 2228 74 2 4 145.8 2 50.40 13.0
## 987 987 68 2 4 147.1 2 47.60 12.5
## 304 304 89 4 3 168.0 2 74.30 13.0
## 1482 1482 77 2 4 146.7 2 50.90 12.5
## 1979 1979 73 2 4 153.7 2 59.00 13.5
## 1110 1110 70 2 4 159.2 2 51.90 11.5
## 1489 1489 72 3 4 164.4 2 64.50 12.5
## 100 100 87 3 4 154.1 2 54.60 14.5
## 1049 1049 72 3 4 155.0 2 42.90 10.0
## 1764 1764 62 3 4 151.8 2 46.80 12.0
## 180 180 76 2 4 145.0 2 40.20 11.0
## 1317 1317 80 1 4 149.2 2 46.00 12.0
## 2137 2137 67 2 4 154.6 2 61.80 13.0
## 1598 1598 81 2 4 172.0 2 68.10 11.5
## 2278 2278 66 1 4 151.2 2 68.15 12.5
## 547 547 85 2 4 142.5 2 51.50 14.0
## 1876 1876 82 3 4 159.6 2 67.40 14.0
## 703 703 83 2 4 164.6 2 59.50 12.5
## 343 343 81 4 4 151.5 2 48.00 10.0
## 2078 2078 64 1 4 164.0 2 77.00 14.5
## 1231 1231 82 2 4 152.1 2 44.00 13.0
## 1315 1315 69 3 4 159.2 2 61.00 8.0
## 2277 2277 71 2 4 149.8 2 53.30 13.5
## 2071 2071 77 1 4 163.1 2 76.50 13.5
## 1390 1390 88 1 4 161.0 2 62.60 13.0
## 34 34 77 2 4 163.0 2 70.50 11.5
## 1021 1021 66 2 4 161.5 2 54.20 9.5
## 2247 2247 71 2 4 170.7 2 64.20 13.5
## 266 266 92 1 3 141.0 2 50.20 13.5
## 425 425 80 2 4 141.5 2 49.90 13.0
## 1063 1063 67 3 4 155.6 2 58.10 13.0
## 1711 1711 86 2 3 156.1 2 56.90 14.5
## 1239 1239 82 2 1 153.0 2 51.00 13.0
## 1127 1127 68 4 4 160.8 2 60.80 14.0
## 957 957 75 1 4 163.3 2 82.30 11.5
## 1772 1772 62 3 4 155.6 2 64.30 13.5
## 858 858 87 1 3 152.9 2 51.30 7.5
## 400 400 85 2 4 155.0 2 65.10 12.5
## 2 2 92 2 4 156.2 2 61.50 15.0
## 1102 1102 80 1 4 145.4 2 65.00 11.5
## 1182 1182 71 2 4 154.0 2 55.20 13.0
## 156 156 72 3 4 150.6 2 57.30 11.5
## 2136 2136 82 3 4 168.6 2 85.60 12.5
## 215 215 89 1 4 152.5 2 56.30 15.0
## 1019 1019 79 3 4 151.2 2 53.90 13.5
## 286 286 91 3 3 141.9 2 43.20 14.0
## 1350 1350 82 3 4 155.6 2 61.00 13.0
## 964 964 75 2 4 141.2 2 44.80 11.5
## 430 430 79 1 4 144.6 2 55.40 12.5
## 2058 2058 85 2 4 141.2 2 43.90 13.0
## 750 750 91 1 4 151.9 2 47.30 12.0
## 650 650 72 2 4 164.3 2 61.80 13.0
## 716 716 69 2 4 146.5 2 57.30 8.5
## 754 754 83 1 4 155.5 2 62.40 13.0
## 385 385 86 1 4 149.1 2 54.80 11.0
## 2111 2111 84 3 4 144.0 2 37.60 9.5
## 1496 1496 69 3 4 167.3 2 54.30 9.0
## 1812 1812 75 2 4 161.0 2 56.10 15.0
## 1378 1378 84 2 4 148.0 2 48.00 12.0
## 909 909 83 3 4 161.2 2 55.00 12.5
## 1691 1691 85 3 4 162.2 2 57.00 12.5
## 1552 1552 71 2 4 160.4 2 87.30 12.5
## 174 174 80 2 4 150.7 2 73.20 14.5
## 658 658 70 2 4 152.3 2 67.80 11.5
## 1563 1563 94 2 2 151.2 0 58.50 11.0
## 434 434 81 2 4 159.0 2 58.20 11.5
## 615 615 82 2 4 153.8 2 62.50 12.0
## 1306 1306 86 1 4 156.6 2 44.20 8.5
## 804 804 75 4 4 145.6 2 53.20 14.0
## 1438 1438 55 3 4 154.3 2 47.50 12.0
## 825 825 71 1 4 154.3 2 56.60 12.5
## 515 515 75 1 4 158.1 2 56.40 11.5
## 2124 2124 62 1 4 157.6 2 50.20 12.5
## 51 51 90 1 2 162.0 1 79.40 8.0
## 1829 1829 72 2 4 153.3 2 59.50 12.0
## 1662 1662 75 2 4 151.5 2 42.40 12.5
## 230 230 84 2 4 149.0 2 53.80 12.0
## 1247 1247 67 3 4 167.8 2 73.80 13.5
## 613 613 81 3 4 159.9 2 54.60 12.0
## 1169 1169 71 2 4 151.0 2 75.20 12.0
## 645 645 72 3 4 153.5 2 54.20 13.5
## 1367 1367 69 2 4 158.6 2 60.60 14.0
## 1730 1730 72 3 4 155.4 2 55.00 13.0
## 318 318 96 1 4 152.2 2 48.90 13.0
## 419 419 87 2 4 166.0 2 66.90 13.5
## 447 447 86 3 4 150.9 2 68.10 12.0
## 1682 1682 70 2 4 159.2 2 55.20 10.5
## 143 143 87 2 4 146.7 2 61.80 13.0
## 1935 1935 64 2 4 162.9 2 57.25 12.0
## 1856 1856 69 3 4 147.6 2 45.60 12.0
## 967 967 63 3 4 156.3 2 59.20 12.0
## 2109 2109 86 1 4 150.1 2 58.60 12.0
## 208 208 82 1 4 145.6 2 38.30 12.0
## 1299 1299 83 2 4 155.8 2 62.20 12.5
## 723 723 85 1 4 146.8 2 45.70 14.0
## 2237 2237 70 2 4 166.0 2 63.50 12.5
## 1235 1235 81 1 4 156.0 2 52.90 12.0
## 1221 1221 77 2 4 156.0 2 60.50 13.5
## 1430 1430 89 1 1 146.7 2 61.90 11.0
## 487 487 82 2 4 151.6 2 39.70 9.0
## 872 872 83 2 4 166.1 2 68.90 10.5
## 544 544 87 1 4 142.0 2 48.50 14.0
## 1623 1623 67 3 4 152.5 2 48.80 11.5
## 1059 1059 73 2 4 160.4 2 69.10 12.5
## 152 152 80 2 4 150.0 2 44.50 13.0
## 1922 1922 70 2 4 146.5 2 49.90 11.5
## 1210 1210 87 1 4 149.0 2 59.80 12.0
## 1509 1509 68 2 4 151.3 2 49.00 12.0
## 1456 1456 76 2 4 153.3 2 36.90 10.5
## 537 537 80 1 4 151.9 2 47.30 9.5
## 1053 1053 83 2 4 147.0 2 44.80 13.5
## 693 693 74 3 4 167.5 2 53.30 10.5
## 681 681 78 3 4 157.5 2 58.90 12.5
## 240 240 80 4 3 154.4 2 61.00 13.0
## 1033 1033 67 3 4 150.2 2 52.90 14.5
## 310 310 94 1 3 146.0 2 52.50 7.5
## 1377 1377 68 2 4 149.9 2 49.20 12.0
## 782 782 81 1 4 153.6 2 56.20 10.0
## 1387 1387 82 1 4 160.0 2 62.70 13.5
## 621 621 80 2 3 155.0 2 60.90 14.5
## 367 367 98 2 4 156.0 2 43.00 13.0
## 1005 1005 65 1 4 167.8 2 65.10 12.0
## 1801 1801 74 1 4 166.0 2 67.80 10.5
## 1693 1693 78 1 4 141.6 2 53.30 11.0
## 2129 2129 64 2 4 168.6 2 82.20 11.5
## 1901 1901 74 2 4 157.1 2 50.30 12.5
## 1310 1310 95 1 3 136.5 2 58.30 12.5
## 432 432 79 3 4 169.9 2 63.90 12.5
## 1175 1175 89 2 4 167.0 2 72.10 13.0
## 26 26 93 1 4 155.0 2 70.30 9.5
## 1734 1734 67 3 4 165.8 2 73.70 13.5
## 1768 1768 64 2 3 165.1 2 87.00 14.0
## 1410 1410 86 1 4 153.0 2 59.80 12.0
## 1874 1874 82 2 4 156.9 2 56.20 13.5
## 39 39 87 1 4 146.0 2 53.00 9.5
## 327 327 75 2 4 144.4 2 46.90 14.0
## 1770 1770 69 2 4 160.6 2 67.50 10.5
## 332 332 85 2 4 143.3 2 51.60 13.5
## 1120 1120 64 3 4 147.2 2 58.00 13.0
## 828 828 86 1 4 143.4 2 40.00 7.5
## 1107 1107 75 2 4 155.8 2 59.40 12.5
## 857 857 66 2 4 163.6 2 77.70 11.5
## 401 401 79 2 4 145.0 2 45.90 12.0
## 159 159 72 1 4 166.8 2 66.60 11.5
## 1795 1795 61 3 4 163.2 2 49.20 13.5
## 1786 1786 62 3 4 155.4 2 67.60 12.5
## 1433 1433 69 3 4 160.4 2 51.10 12.5
## 2162 2162 71 2 4 154.7 2 58.70 12.5
## 202 202 77 3 4 151.7 2 47.20 11.0
## 937 937 65 2 4 166.8 2 77.90 11.5
## 2283 2283 68 2 4 150.5 2 45.40 14.0
## 2081 2081 75 1 4 150.2 2 54.20 12.5
## 144 144 82 2 4 141.0 2 48.30 10.5
## 1030 1030 79 1 4 141.0 2 58.60 12.0
## 764 764 101 2 4 152.2 2 59.60 12.5
## 1969 1969 68 2 4 169.3 2 81.20 13.5
## 89 89 90 1 4 155.6 2 63.40 11.0
## 1119 1119 73 2 4 162.0 2 65.40 12.0
## 2167 2167 66 3 4 151.6 2 49.10 12.5
## 1618 1618 81 2 4 153.2 2 52.30 11.0
## 887 887 69 3 4 147.3 2 50.20 9.5
## 1910 1910 66 4 4 159.8 2 64.30 12.5
## 1537 1537 93 1 3 148.7 2 60.60 10.5
## 142 142 78 3 4 152.5 2 42.00 11.5
## 869 869 69 4 4 148.0 2 52.60 10.5
## 4 4 79 2 4 152.2 2 65.30 14.0
## 1457 1457 83 3 3 165.1 2 54.00 13.5
## 2116 2116 80 4 4 145.8 2 59.80 13.0
## 2039 2039 67 2 4 162.7 2 47.00 12.5
## 2052 2052 72 1 4 143.0 2 71.80 14.0
## 2000 2000 70 3 4 154.7 2 54.70 12.5
## 2135 2135 68 2 4 171.9 2 76.00 12.5
## 2023 2023 69 2 4 153.7 2 72.90 13.5
## 2004 2004 68 4 3 161.7 2 63.10 12.0
## 264 264 85 1 4 152.5 2 60.00 13.5
## 913 913 68 2 4 152.4 2 56.80 10.5
## 1665 1665 92 1 3 151.1 2 57.30 13.0
## 2272 2272 63 2 4 158.2 2 62.30 13.5
## 1056 1056 64 2 4 155.6 2 72.00 12.0
## 1542 1542 81 3 4 151.9 2 60.30 12.0
## 1348 1348 64 2 4 158.0 2 62.60 16.0
## 1267 1267 80 2 4 161.9 2 71.30 12.5
## 1884 1884 71 2 4 154.2 2 72.90 13.5
## 819 819 69 2 4 157.0 2 46.80 12.0
## 914 914 73 2 4 164.0 2 46.10 12.5
## 922 922 73 3 4 163.3 2 73.90 12.5
## 798 798 71 2 4 163.7 2 64.50 12.5
## 1331 1331 63 3 4 156.8 2 51.00 11.5
## 2089 2089 67 2 4 158.5 2 60.60 13.0
## 2211 2211 81 3 4 164.4 2 64.30 10.5
## 1587 1587 79 3 4 142.0 2 48.50 11.0
## 312 312 86 2 4 146.0 2 46.80 12.0
## 1 1 86 1 4 148.3 2 61.10 10.5
## 862 862 74 3 4 165.2 2 65.40 13.5
## 498 498 70 2 3 154.5 2 65.10 10.5
## 1076 1076 79 2 4 167.4 2 69.75 10.0
## 2009 2009 64 3 4 154.9 2 52.80 12.0
## 1073 1073 70 1 4 144.9 2 50.50 12.5
## 2057 2057 64 2 4 149.4 2 55.00 12.0
## 1942 1942 66 2 4 161.7 2 64.90 13.0
## 1360 1360 86 1 4 168.7 2 74.30 13.0
## 394 394 76 4 4 165.6 2 59.20 12.0
## 1839 1839 67 1 4 138.6 2 54.90 12.5
## 1857 1857 87 3 4 156.1 2 60.40 13.5
## 705 705 75 2 4 148.5 2 48.40 10.0
## 1896 1896 69 2 4 146.2 2 48.40 12.0
## 2217 2217 78 1 3 141.2 2 44.30 12.5
## 1749 1749 84 2 4 150.4 2 53.10 13.5
## 1581 1581 75 2 4 149.4 2 55.60 11.0
## 403 403 89 1 3 147.2 2 59.60 12.5
## 978 978 69 1 4 157.5 2 55.40 11.0
## 435 435 95 1 4 151.0 2 55.90 14.0
## 1219 1219 81 1 4 158.4 2 67.60 13.0
## 2223 2223 87 1 4 136.1 2 54.00 12.5
## 366 366 78 3 4 164.5 2 60.80 12.5
## 1042 1042 75 4 4 152.7 2 66.50 12.5
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## 1035 1035 74 3 4 164.4 2 73.10 13.5
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## 155 155 77 2 4 154.2 2 61.20 12.0
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## 228 228 82 2 4 150.0 2 49.70 9.5
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## 1817 1817 91 2 4 152.1 2 57.10 13.0
## 1906 1906 64 3 4 145.2 2 50.50 12.5
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## 196 196 92 1 4 143.6 2 59.20 9.5
## 1192 1192 84 2 4 143.5 2 41.60 12.0
## 389 389 76 3 4 170.9 2 79.60 12.0
## 1865 1865 88 2 3 146.1 2 38.20 12.5
## 1861 1861 74 2 4 153.4 2 54.50 11.5
## 2285 2285 63 4 4 148.8 2 54.70 13.5
## 1161 1161 83 3 4 169.0 2 56.50 12.0
## 1887 1887 72 2 4 154.9 2 41.60 10.5
## 572 572 92 2 4 154.8 2 60.20 14.0
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## 90 90 97 2 4 161.4 2 64.30 15.0
## 376 376 86 2 4 138.5 2 36.10 11.5
## 2019 2019 69 2 4 151.8 2 54.60 13.5
## 1418 1418 76 3 3 150.9 2 54.70 14.0
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## 1181 1181 72 2 4 154.0 2 45.30 8.5
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## 1943 1943 63 1 4 146.7 2 55.00 12.0
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## 287 287 81 1 4 158.7 2 51.70 13.0
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## 737 737 78 3 4 160.6 2 50.40 12.5
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## 1463 1463 74 3 4 153.0 2 58.00 12.5
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## 236 236 92 1 4 151.0 2 50.30 12.5
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## 254 254 76 2 4 158.0 2 52.50 11.5
## 1275 1275 84 1 4 156.4 2 60.10 11.0
## 1778 1778 76 3 4 160.9 2 52.60 12.5
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## 2202 2202 67 1 4 153.2 2 65.70 9.5
## 1003 1003 69 3 4 165.2 2 85.10 13.0
## 1054 1054 69 3 4 157.0 2 42.50 11.0
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## 1735 1735 62 3 4 160.3 2 54.10 12.5
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## 70 70 85 1 4 148.9 2 48.70 10.5
## 810 810 84 1 4 155.0 2 65.10 10.5
## 276 276 80 2 4 145.0 2 44.80 12.5
## 75 75 80 3 4 152.8 2 47.30 13.0
## 296 296 80 4 4 144.5 2 41.10 10.0
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## 1641 1641 74 2 4 162.3 2 57.60 11.5
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## 1810 1810 78 2 4 143.6 2 48.90 12.5
## 816 816 83 1 4 145.3 2 51.60 11.0
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## 1723 1723 89 1 3 138.1 2 43.20 13.0
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## 638 638 78 3 4 144.0 2 42.30 11.0
## 1962 1962 84 1 4 148.9 2 49.70 13.0
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## 1785 1785 74 2 3 152.3 2 63.30 14.0
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## 1260 1260 74 2 4 145.8 2 47.50 13.0
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## 2015 2015 77 2 4 146.8 2 57.90 13.5
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## 568 568 68 1 4 155.0 2 48.60 13.0
## 1298 1298 75 3 4 153.6 2 63.40 10.5
## 1104 1104 65 3 4 174.3 2 77.90 12.5
## 173 173 87 2 4 134.0 2 48.60 13.0
## 1024 1024 70 1 4 153.2 2 41.80 9.5
## 522 522 79 3 4 155.0 2 62.90 12.0
## 2003 2003 67 3 4 147.7 2 46.40 12.5
## 1825 1825 76 3 4 152.4 2 58.70 12.5
## 2230 2230 75 2 4 157.6 2 72.50 13.5
## 731 731 68 3 4 161.6 2 63.90 14.0
## 1384 1384 91 2 3 155.0 2 66.40 13.5
## 497 497 88 1 4 157.5 2 43.20 7.5
## 801 801 73 1 4 153.4 2 38.20 8.0
## 727 727 71 2 4 151.8 2 51.20 12.0
## 1726 1726 76 2 4 151.0 2 54.30 12.0
## 1882 1882 67 3 4 149.7 2 49.50 12.5
## 33 33 71 3 4 158.5 2 65.70 10.5
## 2107 2107 63 3 4 155.1 2 53.10 11.0
## 800 800 72 3 4 146.8 2 49.10 13.5
## 1657 1657 80 2 4 157.1 2 56.50 9.5
## 538 538 86 2 4 161.0 2 57.30 12.0
## 2292 2292 69 2 4 167.4 2 79.20 13.5
## 1061 1061 91 1 4 146.3 2 34.50 9.0
## 871 871 66 2 4 163.2 2 69.50 14.0
## 123 123 81 1 4 134.1 2 50.60 10.0
## 557 557 85 2 4 151.6 2 68.20 12.0
## 2240 2240 62 2 4 165.1 2 62.90 14.0
## 36 36 80 1 4 146.0 2 50.90 12.5
## 2281 2281 65 4 4 146.3 2 47.50 12.5
## 562 562 76 1 4 154.0 2 57.90 12.5
## 68 68 93 2 4 142.0 2 40.40 11.5
## 552 552 82 1 4 145.6 2 58.60 12.0
## 284 284 84 2 4 170.0 2 85.30 10.5
## 440 440 79 1 4 138.0 2 52.60 13.0
## 341 341 82 2 4 162.2 2 67.00 13.5
## 567 567 68 2 4 156.0 2 61.30 12.0
## 1881 1881 69 2 4 162.9 2 61.30 12.5
## 164 164 71 3 4 156.3 2 55.50 13.0
## 1870 1870 89 2 3 154.7 2 49.60 11.5
## 894 894 70 4 4 168.3 2 47.40 13.5
## 809 809 74 1 4 152.4 2 58.50 13.0
## 1649 1649 83 1 4 145.6 2 45.90 12.0
## 1791 1791 69 4 4 151.5 2 58.90 14.0
## 1832 1832 81 1 4 148.0 2 47.60 13.5
## 395 395 69 2 4 150.5 2 56.05 11.5
## 748 748 82 2 4 156.7 2 64.20 11.0
## 1621 1621 75 3 4 166.0 2 59.40 12.0
## 74 74 78 2 4 141.0 2 37.50 9.5
## 1312 1312 81 1 4 160.6 2 67.00 14.5
## 2028 2028 62 2 4 156.6 2 51.00 12.5
## 1916 1916 85 1 4 147.2 2 51.20 12.5
## 1217 1217 86 1 3 150.5 2 47.30 9.5
## 614 614 76 3 4 143.9 2 51.20 12.0
## 1944 1944 68 3 4 157.5 2 61.85 12.5
## 1166 1166 82 1 4 148.0 2 45.50 13.0
## 92 92 84 2 4 148.8 2 49.50 12.5
## 636 636 77 2 4 154.2 2 46.90 10.0
## 1860 1860 63 1 4 162.6 2 55.90 13.5
## 1811 1811 75 3 4 157.0 2 43.70 10.5
## 263 263 91 2 3 148.5 2 59.80 10.0
## 179 179 79 2 4 167.0 2 69.70 13.5
## 999 999 65 2 4 161.6 2 54.90 11.5
## 1187 1187 70 1 4 150.7 2 56.00 13.5
## 704 704 79 2 4 146.5 2 45.00 12.0
## 2055 2055 62 2 4 150.8 2 47.20 12.0
## 1002 1002 73 1 4 147.0 2 61.20 13.0
## 559 559 86 1 4 139.0 2 53.60 12.5
## 1526 1526 88 1 4 146.9 2 50.60 12.0
## 573 573 76 2 4 148.3 2 54.90 10.5
## 940 940 71 1 4 153.0 2 36.00 7.5
## 1490 1490 68 2 4 145.7 2 51.20 13.0
## 325 325 92 2 4 143.0 2 46.30 11.5
## 1031 1031 64 3 4 150.2 2 53.90 13.0
## 1067 1067 75 4 4 159.0 2 73.90 12.5
## 2123 2123 66 4 4 167.7 2 66.50 14.5
## 1009 1009 69 1 4 154.4 2 57.00 13.5
## 1218 1218 84 1 4 166.2 2 60.50 12.0
## 2069 2069 62 2 4 164.4 2 69.30 12.5
## 702 702 88 2 4 152.7 2 40.10 7.0
## 1844 1844 74 3 3 150.4 2 52.80 8.5
## 885 885 68 3 4 160.4 2 74.10 11.5
## 844 844 83 1 4 152.8 2 60.00 13.0
## 611 611 86 2 4 154.9 2 70.50 12.5
## 7 7 84 2 4 150.0 2 45.80 11.0
## 1055 1055 74 3 4 157.1 2 45.50 9.5
## 2244 2244 65 1 4 147.0 2 62.40 13.0
## 245 245 88 2 4 160.0 2 50.80 13.0
## 1928 1928 66 2 4 161.9 2 73.10 11.5
## 462 462 92 1 4 149.0 2 56.30 12.5
## 1041 1041 63 2 4 148.4 2 47.35 13.5
## 247 247 99 1 3 139.5 2 41.70 9.0
## 1538 1538 85 1 4 148.1 2 48.00 9.5
## 2128 2128 71 2 4 152.9 2 50.60 12.5
## 1402 1402 88 1 3 151.0 2 54.90 12.5
## 921 921 64 2 4 154.0 2 60.00 14.0
## 369 369 86 3 4 151.7 2 47.00 13.0
## 1155 1155 89 3 3 143.3 0 42.30 11.0
## 1978 1978 95 1 3 135.8 2 39.00 13.0
## 2172 2172 65 2 4 145.4 2 58.90 13.5
## 2189 2189 94 2 4 154.2 2 58.30 12.0
## 1661 1661 89 1 3 142.8 2 52.40 12.0
## 1345 1345 69 2 4 151.6 2 54.90 13.5
## 2195 2195 75 1 4 149.2 2 57.50 12.0
## 149 149 83 1 4 155.0 2 57.70 7.0
## 2188 2188 68 1 4 150.5 2 64.20 12.0
## 289 289 75 3 4 149.0 2 54.50 13.5
## 994 994 68 2 3 157.3 2 67.45 13.0
## 1133 1133 84 1 4 151.0 2 63.80 12.5
## 1533 1533 82 1 4 149.5 2 62.80 11.5
## 167 167 70 2 4 142.3 2 53.20 12.0
## 1840 1840 69 2 4 152.8 2 73.90 14.0
## 1823 1823 83 1 4 154.1 2 56.60 14.0
## 1018 1018 83 1 3 151.1 2 59.30 13.0
## 948 948 63 3 4 143.1 2 50.30 13.5
## 663 663 70 2 4 151.7 2 53.70 11.5
## 1628 1628 78 1 4 144.5 2 47.30 13.5
## 147 147 85 2 4 161.9 2 68.20 11.5
## 1292 1292 67 2 4 147.1 2 49.40 14.0
## 1518 1518 75 2 4 150.4 2 51.80 11.5
## 313 313 84 3 4 171.0 2 79.10 12.5
## 1416 1416 70 3 4 155.0 2 62.95 12.5
## 695 695 78 3 4 153.1 2 45.05 11.5
## 962 962 62 2 4 156.1 2 57.20 12.5
## 2063 2063 66 2 4 153.6 2 72.50 12.5
## 815 815 92 1 4 148.2 2 46.20 12.0
## 1566 1566 79 2 4 159.1 2 60.20 13.0
## 970 970 61 3 4 157.6 2 58.90 13.0
## 1968 1968 68 3 4 166.7 2 70.10 12.5
## 205 205 85 1 4 142.0 2 43.90 9.5
## 342 342 81 3 4 172.1 2 73.80 14.0
## 439 439 86 2 4 142.0 2 50.80 10.0
## 1205 1205 83 3 4 141.5 2 32.00 11.0
## 1343 1343 78 3 4 163.5 2 64.20 13.0
## 122 122 70 3 4 149.8 2 57.75 14.0
## 1671 1671 80 1 4 153.9 2 48.90 12.0
## 1194 1194 75 2 4 148.7 2 56.40 12.5
## 1564 1564 92 1 4 146.6 2 45.70 6.5
## 1340 1340 70 1 4 157.3 2 63.50 14.0
## 861 861 87 1 3 157.5 2 62.10 11.0
## 25 25 84 1 4 149.3 2 38.80 7.5
## 5 5 86 1 4 157.3 2 57.30 11.5
## 1611 1611 91 1 4 146.5 2 65.30 12.0
## 1995 1995 77 2 4 163.8 2 60.20 14.0
## 883 883 68 1 4 156.8 2 53.70 11.0
## 1745 1745 74 3 4 151.7 2 58.00 15.0
## 600 600 72 2 4 134.5 2 38.40 10.0
## 1626 1626 101 1 3 154.8 2 38.50 12.5
## 417 417 96 1 4 134.0 2 41.30 14.5
## 1687 1687 91 1 4 141.5 2 44.50 7.5
## 1409 1409 89 1 4 156.0 2 56.70 13.0
## 733 733 82 1 4 152.1 2 43.50 9.0
## 1848 1848 89 1 3 145.4 2 49.20 13.0
## 965 965 73 3 4 160.6 2 75.20 12.0
## 1676 1676 85 1 3 145.6 2 47.10 9.5
## 1237 1237 77 1 4 150.5 2 57.30 13.5
## 1368 1368 69 3 4 160.3 2 92.90 12.5
## 1530 1530 86 1 3 151.9 2 51.60 11.0
## 1255 1255 72 2 4 150.0 2 57.70 12.0
## 1567 1567 65 3 4 146.8 2 47.90 14.0
## 1308 1308 85 2 4 141.3 2 44.70 13.5
## 1816 1816 72 2 4 144.4 2 47.00 14.0
## 2050 2050 73 2 4 150.6 2 42.20 12.5
## 2091 2091 72 2 4 145.4 2 52.40 13.0
## 2060 2060 67 1 4 171.6 2 73.80 13.5
## 2014 2014 72 2 4 157.7 2 60.60 12.5
## 959 959 66 2 4 158.3 2 61.50 9.5
## 853 853 72 1 4 142.3 2 58.80 11.5
## 2258 2258 70 3 4 169.0 2 73.60 13.5
## 512 512 79 1 4 159.5 2 77.10 13.0
## 811 811 76 3 4 167.0 2 48.30 9.0
## 1879 1879 66 3 4 151.1 2 46.00 13.5
## 63 63 86 2 4 156.0 2 44.20 8.0
## 507 507 81 2 4 142.5 2 35.50 8.0
## 1918 1918 73 2 4 147.0 2 51.70 12.0
## 1111 1111 63 2 3 157.7 2 81.50 12.0
## 1515 1515 69 2 4 145.3 2 38.90 11.0
## 527 527 70 3 4 155.5 2 63.70 13.5
## 1506 1506 68 1 4 150.0 2 52.10 11.0
## 845 845 75 1 4 148.4 2 54.80 11.5
## 1511 1511 91 3 4 155.4 2 51.00 13.0
## 1424 1424 68 2 4 159.2 2 69.30 12.0
## 1180 1180 89 3 4 166.5 2 85.00 13.5
## 1820 1820 79 2 4 166.1 2 65.70 13.0
## 1594 1594 66 3 4 148.1 2 54.60 13.5
## 1805 1805 71 2 4 160.8 2 50.90 13.5
## 1186 1186 81 1 4 146.0 2 58.20 12.5
## 1278 1278 89 1 4 152.7 2 52.80 12.0
## 935 935 71 3 4 154.2 2 66.10 13.5
## 336 336 88 3 4 161.5 2 46.00 11.5
## 2259 2259 62 3 4 159.1 2 69.20 13.5
## 2163 2163 68 1 4 151.7 2 56.10 13.5
## 1841 1841 80 1 4 144.9 2 54.60 8.5
## 1126 1126 71 4 4 175.5 2 79.30 13.5
## 1497 1497 70 3 4 145.6 2 57.60 11.5
## 571 571 77 2 4 158.9 2 64.10 13.5
## 1757 1757 86 2 4 152.6 2 53.10 12.5
## 1025 1025 74 3 4 181.4 2 76.90 15.0
## 1733 1733 68 3 4 158.9 2 55.70 11.0
## 1283 1283 82 4 4 159.7 2 57.00 12.5
## 2127 2127 75 2 4 149.1 2 50.40 13.0
## 253 253 83 2 4 170.3 2 85.90 12.5
## 227 227 80 2 4 139.2 2 43.20 11.5
## 1807 1807 81 1 4 145.8 2 62.40 10.5
## 1710 1710 97 2 1 144.6 1 51.50 10.5
## 1300 1300 91 1 4 137.4 2 51.20 10.0
## 1534 1534 87 1 4 150.3 2 42.60 11.5
## 806 806 74 4 4 168.8 2 65.50 13.5
## 1280 1280 84 1 4 150.4 2 51.00 11.5
## 210 210 78 2 4 156.6 2 58.70 13.5
## 104 104 89 2 3 142.5 2 47.65 13.5
## 491 491 72 3 4 146.8 2 45.60 13.5
## 1297 1297 84 1 3 162.9 2 70.60 15.0
## 252 252 84 2 3 152.0 2 41.40 12.0
## 1620 1620 69 2 4 151.0 2 59.30 10.5
## 882 882 69 2 4 157.1 2 63.00 12.0
## 1532 1532 66 3 4 144.8 2 46.80 11.5
## 1722 1722 64 2 4 146.4 2 67.40 14.0
## 1576 1576 72 2 4 155.9 2 57.30 11.5
## 1467 1467 88 3 4 159.2 2 40.90 8.5
## 363 363 75 2 3 171.0 2 81.30 13.5
## 1577 1577 75 3 4 151.5 2 48.20 9.5
## 1407 1407 83 1 1 146.0 2 48.10 11.0
## 2151 2151 68 2 4 154.9 2 45.50 13.5
## 2024 2024 64 1 4 144.5 2 46.00 12.5
## 1955 1955 65 2 4 158.5 2 58.00 12.5
## 1284 1284 72 2 4 145.2 2 57.60 12.0
## 2035 2035 91 1 4 147.7 2 47.80 13.0
## 121 121 89 1 4 155.0 2 57.40 12.5
## 1499 1499 67 3 4 145.8 2 57.00 13.0
## 295 295 87 1 4 151.0 2 52.00 12.0
## 2044 2044 78 1 4 153.6 2 56.00 12.5
## 2207 2207 86 1 4 140.2 2 41.90 14.5
## 1462 1462 78 2 3 150.8 2 62.00 12.5
## 1201 1201 82 2 4 147.0 2 63.90 13.5
## 1877 1877 70 2 3 161.4 2 73.70 11.0
## 2079 2079 62 2 4 152.3 2 75.40 12.5
## 1036 1036 71 2 4 156.9 2 54.10 11.5
## 550 550 98 1 4 144.0 2 37.80 8.5
## 125 125 85 2 4 161.1 2 59.30 12.0
## 630 630 74 3 4 142.0 2 64.25 12.0
## 1114 1114 63 2 4 148.8 2 49.80 11.5
## 652 652 81 2 4 149.7 2 51.60 12.5
## 1361 1361 67 2 4 162.0 2 54.50 15.0
## 1414 1414 96 2 3 162.0 2 52.70 12.0
## 1156 1156 87 1 4 140.5 2 51.40 12.5
## 2017 2017 75 2 4 152.5 2 51.80 12.5
## 784 784 78 3 4 164.2 2 67.70 14.0
## 991 991 69 1 4 152.2 2 50.90 12.5
## 1909 1909 74 4 4 163.2 2 69.90 11.0
## 1439 1439 71 2 4 145.2 2 52.60 9.5
## 489 489 101 1 3 136.5 1 39.70 5.5
## 540 540 88 3 4 145.0 2 52.90 13.5
## 2144 2144 64 4 4 163.3 2 67.40 11.0
## 176 176 78 3 4 158.0 2 67.50 11.5
## 1206 1206 71 3 4 157.2 2 62.50 12.0
## 1951 1951 66 3 4 162.9 2 49.80 10.0
## 1852 1852 70 3 4 158.2 2 67.50 13.0
## 1640 1640 81 2 4 165.9 2 72.20 10.0
## 2062 2062 66 2 4 163.0 2 60.00 13.5
## 1281 1281 78 1 4 157.9 2 56.60 12.0
## 399 399 75 2 4 172.0 2 76.80 13.5
## 1883 1883 70 3 4 155.2 2 42.90 13.0
## 637 637 78 3 4 155.0 2 56.50 12.5
## 1900 1900 87 2 4 158.7 2 50.60 12.5
## 933 933 75 3 4 166.4 2 66.50 12.0
## 952 952 70 3 4 160.4 2 62.10 12.0
## 2238 2238 62 2 4 157.1 2 53.70 14.0
## 116 116 83 2 4 160.0 2 61.20 10.0
## 575 575 85 2 4 152.5 2 65.50 12.0
## 455 455 90 1 4 162.0 2 68.80 13.5
## 1320 1320 67 1 4 153.2 2 48.60 11.0
## 392 392 87 2 1 149.5 0 47.60 6.5
## 629 629 88 1 3 142.0 2 42.10 10.5
## 1678 1678 66 2 4 154.1 2 45.70 12.0
## 2006 2006 74 1 4 151.9 2 52.20 12.5
## 903 903 90 1 4 160.0 2 63.70 13.0
## 1215 1215 87 2 4 156.0 2 47.00 9.5
## 1403 1403 84 1 4 143.0 2 49.00 12.5
## 2289 2289 67 2 4 147.3 2 53.40 13.5
## 2011 2011 66 3 4 149.8 2 59.10 13.5
## 431 431 102 1 4 159.2 2 59.50 13.5
## 977 977 63 3 4 161.8 2 67.70 13.5
## 687 687 68 1 4 144.4 2 72.90 13.0
## 1748 1748 82 2 4 157.7 2 47.10 11.5
## 1615 1615 85 1 4 141.0 2 55.70 12.0
## 770 770 70 3 4 150.9 2 47.30 13.0
## 596 596 85 3 4 165.6 2 36.90 7.0
## 751 751 79 2 4 153.4 2 62.90 12.5
## 2264 2264 62 2 4 151.6 2 62.50 13.5
## 694 694 92 2 4 153.2 2 43.00 10.5
## 1238 1238 82 1 4 165.2 2 49.10 11.5
## 1324 1324 68 2 4 153.4 2 54.10 9.5
## 992 992 83 2 4 153.4 2 54.30 9.0
## 1545 1545 67 3 4 161.7 2 65.90 10.5
## 65 65 84 1 4 140.0 2 52.70 11.0
## 1739 1739 74 1 4 150.1 2 56.80 12.5
## 2098 2098 70 2 4 162.4 2 65.40 9.0
## 2104 2104 80 3 4 153.0 2 56.80 14.0
## 1010 1010 66 3 4 166.6 2 69.20 12.5
## 2221 2221 65 3 4 166.8 2 63.50 13.5
## 1783 1783 63 2 4 169.9 2 78.50 13.0
## 1521 1521 82 2 4 140.7 2 54.50 11.5
## 1516 1516 69 3 4 154.0 2 59.40 9.0
## 1608 1608 64 2 4 154.4 2 58.00 12.5
## 1225 1225 74 2 4 164.3 2 53.20 12.0
## 1939 1939 68 2 4 150.0 2 55.20 11.0
## 813 813 81 1 4 150.5 2 63.80 11.0
## 377 377 85 2 4 149.4 2 61.00 11.5
## 513 513 82 2 4 161.5 2 66.40 14.5
## 976 976 67 2 4 169.1 2 74.40 14.0
## 1257 1257 76 2 4 152.8 2 83.00 10.5
## 1798 1798 68 3 4 167.0 2 63.90 14.0
## 701 701 74 3 4 154.1 2 61.70 13.5
## 1058 1058 65 1 4 150.4 2 51.50 12.5
## 1875 1875 71 2 4 140.3 2 50.90 12.0
## 371 371 91 2 4 161.0 2 57.20 8.5
## 301 301 93 2 3 164.0 2 75.00 12.0
## 1974 1974 85 2 4 168.1 2 79.90 13.5
## 1647 1647 90 2 4 153.0 2 50.20 10.0
## 1920 1920 73 1 4 155.2 2 62.10 12.0
## 1966 1966 62 2 4 173.3 2 79.50 13.5
## 2077 2077 63 2 4 150.7 2 60.50 13.5
## 1992 1992 72 3 4 152.5 2 42.70 13.5
## 1789 1789 66 1 4 152.2 2 52.80 13.5
## 2101 2101 68 3 4 151.0 2 60.90 13.0
## 955 955 79 1 4 162.8 2 51.80 13.5
## 1588 1588 75 3 4 150.4 2 57.00 13.0
## 1981 1981 65 3 4 152.9 2 45.20 12.5
## 133 133 85 1 4 145.6 2 57.50 13.0
## 2140 2140 68 2 4 149.8 2 67.10 11.0
## waist bmi MNAa_tot Endocrine.Disease_Hyperlipidaemia MMSE_class_2
## 2227 90.0 25.63 13 1 0
## 526 73.0 18.19 10 1 0
## 195 89.0 20.79 12 0 0
## 1842 97.0 25.68 14 1 0
## 1142 95.0 25.31 14 0 0
## 1253 89.0 25.64 12 0 0
## 1268 85.0 21.47 13 1 0
## 1038 92.0 23.60 13 0 0
## 665 79.5 22.86 13 0 0
## 1627 98.0 28.44 14 1 1
## 1011 87.0 22.46 13 0 0
## 1115 83.4 22.18 12 0 0
## 953 105.0 27.91 14 1 0
## 348 95.5 26.25 13 1 0
## 1017 81.0 21.51 11 1 0
## 2013 100.0 28.85 14 0 0
## 1379 91.0 22.71 14 0 0
## 2074 67.0 17.04 14 0 0
## 1450 76.0 19.20 12 1 0
## 1673 83.0 22.94 12 0 0
## 1790 87.0 26.14 14 1 0
## 211 87.0 24.40 13 0 0
## 1614 88.5 25.76 14 0 0
## 555 98.0 25.56 14 0 0
## 1895 99.0 25.38 14 0 0
## 373 88.5 25.81 14 0 0
## 1167 78.0 21.84 13 0 0
## 1799 92.0 24.44 13 0 0
## 905 91.0 27.47 10 0 0
## 1866 113.0 36.48 14 0 1
## 1047 86.0 24.34 14 0 0
## 309 94.0 26.46 14 0 0
## 1248 88.0 24.73 12 0 0
## 166 69.0 17.47 9 1 0
## 217 94.0 25.68 14 0 0
## 1314 97.0 23.82 12 0 0
## 2120 80.0 21.63 13 0 0
## 588 82.3 24.75 14 1 0
## 1599 85.0 20.54 12 1 0
## 141 88.0 25.20 14 0 0
## 722 85.5 21.96 13 0 1
## 153 82.5 26.49 14 0 0
## 294 93.0 25.57 14 0 0
## 277 91.0 25.09 14 0 0
## 1487 83.0 21.67 13 0 1
## 41 91.5 24.98 11 1 1
## 2138 82.0 22.58 12 0 0
## 316 98.0 24.53 14 0 0
## 1183 104.0 32.05 14 0 0
## 752 81.5 19.61 12 1 0
## 374 86.0 22.64 12 0 0
## 2296 89.0 22.35 13 0 0
## 2033 93.0 23.08 14 0 0
## 2082 105.0 24.60 13 0 0
## 516 91.5 26.24 14 1 0
## 13 78.0 17.96 11 0 1
## 2117 99.0 28.66 14 0 0
## 2038 88.0 22.03 14 0 0
## 1919 84.5 23.49 13 0 0
## 755 67.5 17.62 9 0 0
## 1332 85.0 21.65 14 1 0
## 1113 85.0 21.86 13 0 0
## 1006 84.4 27.93 14 0 0
## 1448 73.0 19.36 10 0 0
## 671 87.0 24.44 9 0 0
## 2169 62.0 18.36 13 0 0
## 1134 92.5 24.88 14 0 0
## 1088 79.0 22.82 13 0 0
## 1507 95.0 29.97 12 0 0
## 1934 80.5 21.76 13 0 0
## 1501 74.5 21.56 13 0 1
## 480 92.0 26.26 14 0 0
## 2115 95.0 26.01 14 1 0
## 1914 87.0 20.41 12 0 0
## 1871 89.0 26.35 14 0 1
## 1109 92.0 24.30 14 0 0
## 165 85.0 23.41 14 0 0
## 1075 70.0 20.11 13 0 0
## 1386 80.0 19.90 13 1 0
## 610 97.0 29.07 11 0 1
## 127 89.5 21.81 8 0 0
## 686 81.0 19.12 12 0 0
## 1982 82.5 21.08 13 0 0
## 931 90.5 25.04 14 0 0
## 847 103.0 32.32 14 0 0
## 983 83.0 22.00 13 0 0
## 619 76.5 21.11 10 0 1
## 1927 76.0 17.60 10 1 1
## 477 106.0 36.09 14 1 0
## 1999 91.0 19.33 14 0 0
## 151 78.0 22.68 12 1 0
## 1638 85.0 22.30 13 1 0
## 2203 111.0 34.91 14 1 0
## 1029 93.0 25.03 13 0 0
## 326 100.0 27.49 14 1 0
## 1956 110.0 27.30 14 1 0
## 1262 74.0 19.29 12 0 0
## 1788 84.0 24.21 14 0 0
## 1363 97.0 30.51 14 0 0
## 985 78.0 21.50 13 0 0
## 2087 88.0 22.97 14 0 0
## 986 83.0 19.52 12 0 0
## 137 75.0 19.35 10 0 0
## 1762 95.0 25.62 14 0 0
## 1584 104.0 30.73 11 0 0
## 589 88.0 22.13 11 0 1
## 1903 78.0 26.78 14 0 0
## 2199 84.0 22.39 13 0 1
## 1793 87.0 26.11 14 0 0
## 680 84.5 22.32 10 1 0
## 1630 94.0 23.16 14 0 1
## 2200 78.0 21.01 13 0 0
## 1808 76.5 20.38 12 0 0
## 344 93.0 26.12 13 0 0
## 2297 92.0 25.43 14 0 0
## 1885 88.0 25.29 14 0 0
## 876 91.0 22.82 13 0 0
## 554 91.5 30.80 14 0 0
## 2132 83.0 22.37 13 0 0
## 1547 72.0 18.75 10 1 0
## 1326 77.5 19.34 12 0 0
## 706 85.2 23.30 14 0 1
## 712 94.0 25.97 14 1 0
## 1452 79.0 22.22 11 0 0
## 672 93.0 27.30 14 1 0
## 1274 94.0 25.38 12 0 0
## 1828 76.0 24.67 13 1 0
## 528 85.0 24.15 14 0 0
## 1569 101.0 29.19 14 1 0
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## 184 82.0 25.13 14 1 0
## 246 73.0 17.78 11 0 0
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## 1329 84.0 21.93 13 0 1
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## 984 75.0 21.72 12 0 0
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## 946 107.0 28.92 14 1 1
## 2182 92.0 27.30 14 0 0
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## 354 87.0 23.59 11 1 0
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## 2086 82.0 21.31 14 0 0
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## 1931 82.0 23.61 14 0 1
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## 1891 90.0 24.35 12 0 0
## 880 103.0 28.08 14 0 0
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## 838 86.0 25.71 14 1 0
## 30 66.0 18.32 7 0 0
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## 974 75.0 20.04 13 0 0
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## 1938 107.0 32.59 14 1 0
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## 1084 73.0 19.68 10 0 0
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## 1429 80.0 21.91 12 0 0
## 719 73.0 20.62 12 0 0
## 1399 84.0 25.84 13 0 1
## 837 93.0 23.01 14 0 0
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## 2147 90.0 23.73 14 0 0
## 1963 91.0 23.76 14 1 1
## 634 76.0 18.63 11 0 0
## 2012 98.0 29.20 14 0 0
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## 1610 74.5 19.90 11 0 0
## 832 85.0 25.40 14 0 1
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## 1190 98.0 26.48 14 1 0
## 1385 85.0 24.88 14 0 1
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## 616 80.0 20.79 13 0 1
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## 641 94.0 27.91 9 0 1
## 2021 82.0 22.71 13 0 0
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## 1048 91.0 28.49 13 1 0
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## 1086 85.0 26.10 14 0 0
## 1503 78.0 20.59 12 0 0
## 283 64.0 18.91 9 0 0
## 1380 80.0 19.99 12 0 1
## 863 90.0 23.50 14 0 0
## 412 75.5 21.72 9 0 1
## 1776 102.0 26.73 14 0 0
## 1688 76.0 21.69 13 1 0
## 911 107.0 30.10 14 0 0
## 1046 95.0 30.08 14 0 0
## 597 96.0 24.34 14 1 0
## 300 93.0 23.54 14 0 1
## 1893 75.5 19.98 12 0 1
## 2288 84.2 23.48 14 0 0
## 40 74.0 19.16 12 0 0
## 2229 94.0 33.44 14 0 0
## 736 80.0 24.07 14 0 0
## 936 98.0 25.31 14 0 1
## 1301 83.0 23.16 13 1 1
## 362 91.0 26.97 12 0 0
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## 2097 84.0 22.41 13 0 0
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## 2224 100.0 26.94 14 0 1
## 2251 66.0 16.33 13 0 0
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## 558 84.0 23.74 14 0 0
## 1460 86.0 23.53 14 0 1
## 1159 75.5 25.92 14 0 1
## 1713 65.0 19.83 12 0 0
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## 220 94.0 24.31 14 0 0
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## 1946 87.0 24.65 14 0 0
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## 1892 91.0 21.92 14 1 0
## 322 75.0 21.07 13 0 0
## 1214 94.5 29.93 13 1 0
## 275 92.0 23.84 14 0 0
## 979 92.0 24.50 13 0 0
## 103 86.0 22.34 12 0 0
## 2056 102.7 27.05 14 0 0
## 1477 74.0 23.06 14 0 0
## 2112 91.0 25.41 14 0 0
## 2161 77.0 20.23 14 0 0
## 1836 83.0 24.42 13 0 0
## 870 80.0 21.33 12 1 0
## 568 74.0 20.23 12 0 0
## 1298 92.0 26.85 10 0 0
## 1104 94.0 25.64 12 0 0
## 173 81.0 27.07 12 0 1
## 1024 67.0 17.79 11 0 0
## 522 93.0 26.16 14 1 0
## 2003 80.0 21.27 14 0 0
## 1825 90.0 25.25 14 0 0
## 2230 98.0 29.19 14 0 0
## 731 86.0 24.45 14 1 0
## 1384 96.0 27.64 14 0 1
## 497 73.5 17.41 11 0 0
## 801 66.0 16.21 9 0 0
## 727 80.0 22.22 13 0 0
## 1726 83.0 23.79 12 0 0
## 1882 79.0 22.09 12 0 0
## 33 86.5 26.15 14 0 0
## 2107 81.0 22.07 13 1 0
## 800 78.0 22.78 9 1 0
## 1657 83.0 22.89 11 0 0
## 538 85.0 22.11 13 0 0
## 2292 101.0 28.24 14 0 0
## 1061 76.0 16.12 11 0 1
## 871 96.5 26.08 14 0 0
## 123 94.0 28.11 12 1 1
## 557 100.0 29.67 14 1 0
## 2240 90.0 23.08 14 0 0
## 36 96.5 23.86 14 0 0
## 2281 75.5 22.19 14 1 0
## 562 79.0 24.41 13 0 0
## 68 75.5 20.04 12 0 1
## 552 91.5 27.64 14 1 1
## 284 103.0 29.52 14 0 0
## 440 94.0 27.62 14 0 1
## 341 96.4 25.47 14 0 0
## 567 97.0 25.19 14 1 0
## 1881 85.0 23.10 14 1 0
## 164 81.0 22.70 13 1 0
## 1870 86.0 20.73 14 0 1
## 894 67.0 16.72 11 0 0
## 809 86.0 25.17 14 0 0
## 1649 83.0 21.63 13 0 0
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## 1621 83.0 21.56 13 0 0
## 74 71.5 18.86 11 1 0
## 1312 99.0 25.98 14 1 0
## 2028 73.0 20.78 12 0 0
## 1916 83.0 23.63 14 1 0
## 1217 83.0 20.88 13 0 0
## 614 76.0 24.73 12 0 0
## 1944 95.0 24.93 13 1 0
## 1166 79.0 20.77 11 0 0
## 92 80.5 22.33 11 0 1
## 636 70.0 19.70 12 1 0
## 1860 73.0 21.14 12 0 1
## 1811 73.0 17.73 9 0 0
## 263 92.5 27.12 12 0 1
## 179 98.5 24.99 14 0 0
## 999 82.0 21.00 11 1 0
## 1187 88.0 24.64 14 1 0
## 704 80.0 20.97 12 1 0
## 2055 77.0 20.73 12 0 0
## 1002 90.0 28.32 14 0 0
## 559 90.0 27.74 10 0 1
## 1526 85.0 23.42 14 0 1
## 573 92.0 24.94 9 1 0
## 940 63.0 15.36 9 0 0
## 1490 80.0 24.09 12 1 0
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## 1055 68.0 18.42 11 0 0
## 2244 93.0 28.85 14 1 0
## 245 83.5 19.84 12 0 0
## 1928 94.5 27.87 14 0 0
## 462 92.0 25.36 14 0 1
## 1041 74.0 21.50 12 0 0
## 247 79.0 21.43 11 0 0
## 1538 82.5 21.88 12 0 0
## 2128 77.0 21.64 13 0 0
## 1402 82.5 24.08 14 0 1
## 921 93.0 25.28 14 0 0
## 369 85.5 20.42 11 0 0
## 1155 74.0 20.60 10 1 0
## 1978 76.0 21.15 13 0 1
## 2172 89.0 27.84 14 1 0
## 2189 89.0 24.50 14 1 0
## 1661 94.0 25.67 14 0 0
## 1345 94.0 23.87 14 0 1
## 2195 89.2 25.83 14 0 1
## 149 82.5 24.02 9 0 1
## 2188 96.0 28.34 14 0 0
## 289 79.0 24.55 14 0 0
## 994 99.0 27.26 14 1 0
## 1133 101.5 27.98 11 0 1
## 1533 95.0 28.08 14 0 0
## 167 91.0 26.25 14 1 1
## 1840 102.0 31.65 14 0 0
## 1823 83.0 23.83 14 0 0
## 1018 86.0 25.97 11 1 0
## 948 85.0 24.56 14 0 0
## 663 90.5 23.33 14 0 0
## 1628 82.0 22.65 13 0 0
## 147 106.0 26.02 14 0 0
## 1292 77.5 22.83 13 0 0
## 1518 77.0 22.90 13 0 0
## 313 102.0 27.05 12 0 0
## 1416 82.0 26.20 14 1 0
## 695 80.0 19.22 12 1 0
## 962 87.0 23.47 13 0 0
## 2063 99.0 30.73 12 1 0
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## 1566 97.5 23.76 14 1 0
## 970 92.0 23.69 14 0 0
## 1968 95.0 25.21 14 0 0
## 205 80.0 21.77 13 0 1
## 342 93.0 24.90 14 0 0
## 439 91.5 25.19 13 1 0
## 1205 64.5 15.98 8 0 0
## 1343 94.0 24.00 14 1 0
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## 1671 80.0 20.65 12 0 0
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## 1564 83.0 21.26 11 0 1
## 1340 85.0 25.66 14 0 0
## 861 97.0 25.03 12 0 1
## 25 66.0 17.38 10 0 0
## 5 88.0 23.16 13 1 0
## 1611 94.0 30.43 12 1 1
## 1995 82.0 22.44 12 0 0
## 883 79.0 21.82 13 0 1
## 1745 83.0 25.18 14 1 0
## 600 80.0 21.20 13 0 0
## 1626 75.0 16.05 11 0 1
## 417 85.0 23.00 11 1 0
## 1687 92.0 22.23 13 0 1
## 1409 85.0 23.30 14 0 1
## 733 70.0 18.80 10 0 0
## 1848 90.0 23.25 14 0 0
## 965 100.0 29.16 14 1 0
## 1676 87.0 22.19 11 0 1
## 1237 86.0 25.30 14 0 0
## 1368 111.0 36.15 14 0 0
## 1530 86.0 22.36 12 0 1
## 1255 82.0 25.64 12 0 0
## 1567 85.0 22.20 13 1 0
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## 1816 78.0 22.52 13 1 0
## 2050 62.0 18.61 13 0 1
## 2091 87.0 24.79 14 0 0
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## 2014 92.0 24.35 14 0 0
## 959 86.0 24.52 12 0 0
## 853 90.0 29.04 14 1 0
## 2258 95.0 25.77 14 0 0
## 512 95.0 30.31 13 1 0
## 811 68.0 17.32 9 0 1
## 1879 66.0 20.13 14 0 0
## 63 77.0 18.16 10 0 1
## 507 68.0 17.48 9 0 0
## 1918 78.0 23.93 14 0 0
## 1111 110.0 32.77 14 0 0
## 1515 71.0 18.40 11 0 0
## 527 100.5 26.34 14 0 0
## 1506 80.0 23.16 12 0 1
## 845 86.0 24.86 14 0 1
## 1511 79.0 21.10 11 0 0
## 1424 98.0 27.34 13 1 0
## 1180 120.0 30.66 14 1 0
## 1820 91.5 23.81 13 0 0
## 1594 80.0 24.89 14 0 0
## 1805 80.0 19.67 14 0 0
## 1186 97.0 27.30 14 0 1
## 1278 84.0 22.62 13 0 0
## 935 90.0 27.80 14 0 0
## 336 82.0 17.64 11 0 0
## 2259 100.0 27.32 14 0 0
## 2163 80.0 24.38 14 0 0
## 1841 89.0 26.00 14 0 0
## 1126 98.0 25.75 13 1 0
## 1497 97.0 27.17 12 1 0
## 571 93.0 25.39 14 0 1
## 1757 81.0 22.78 13 1 0
## 1025 101.0 23.37 14 1 0
## 1733 83.0 22.04 13 0 0
## 1283 77.0 22.33 13 0 0
## 2127 76.0 22.67 13 0 0
## 253 104.5 29.62 14 0 1
## 227 79.0 22.27 11 1 0
## 1807 99.0 29.33 14 1 0
## 1710 92.0 24.63 11 0 0
## 1300 97.0 27.12 12 0 1
## 1534 69.0 18.84 11 0 0
## 806 88.0 22.99 14 1 0
## 1280 86.0 22.52 12 0 0
## 210 88.0 23.94 14 1 0
## 104 96.0 23.47 12 0 0
## 491 77.0 21.16 13 0 0
## 1297 105.0 26.60 14 1 0
## 252 77.0 17.92 11 0 1
## 1620 86.0 26.01 12 0 0
## 882 89.0 25.53 13 0 0
## 1532 77.0 22.32 13 0 0
## 1722 92.0 31.45 14 0 0
## 1576 83.0 23.56 14 0 0
## 1467 66.0 16.14 11 0 0
## 363 96.0 27.80 13 1 0
## 1577 79.5 20.98 7 0 0
## 1407 78.0 22.57 13 1 1
## 2151 74.5 18.94 14 0 0
## 2024 79.0 22.03 14 0 0
## 1955 87.0 23.09 14 0 0
## 1284 83.0 27.32 14 0 0
## 2035 89.0 21.91 14 0 1
## 121 93.0 23.89 12 0 1
## 1499 84.0 26.81 14 0 0
## 295 93.0 22.81 13 1 0
## 2044 81.3 23.71 14 1 0
## 2207 83.0 21.32 13 1 0
## 1462 88.0 27.26 12 0 0
## 1201 91.0 29.57 14 0 0
## 1877 100.0 28.29 14 1 0
## 2079 89.5 32.49 14 0 1
## 1036 72.0 21.96 13 0 0
## 550 64.0 18.21 11 0 0
## 125 81.0 22.85 14 0 0
## 630 97.0 31.86 13 1 0
## 1114 72.0 22.49 13 1 0
## 652 81.0 23.00 14 0 1
## 1361 85.0 20.75 14 0 0
## 1414 77.0 20.08 13 0 1
## 1156 89.0 26.04 12 0 0
## 2017 82.0 22.27 14 0 0
## 784 90.0 25.09 12 0 0
## 991 75.0 21.97 11 1 0
## 1909 94.0 26.24 14 0 0
## 1439 85.0 24.93 14 0 1
## 489 71.5 21.31 10 0 1
## 540 84.0 25.16 12 0 0
## 2144 90.0 25.27 14 1 0
## 176 92.0 27.04 14 0 0
## 1206 101.0 25.29 14 0 0
## 1951 75.0 18.75 5 0 0
## 1852 89.0 26.97 14 1 0
## 1640 99.0 26.23 12 0 0
## 2062 82.5 22.58 13 0 0
## 1281 77.5 22.70 13 1 0
## 399 103.5 25.96 14 0 0
## 1883 64.0 17.81 14 0 0
## 637 79.0 23.52 12 1 0
## 1900 80.0 20.09 14 1 0
## 933 97.0 24.00 14 0 0
## 952 89.0 24.12 14 1 0
## 2238 79.0 21.76 13 0 0
## 116 83.0 23.89 14 0 0
## 575 89.0 28.14 14 0 1
## 455 101.0 26.22 14 0 0
## 1320 78.0 20.69 12 0 0
## 392 82.0 21.30 9 0 1
## 629 81.0 20.88 10 1 1
## 1678 79.0 19.22 14 1 0
## 2006 86.0 22.60 14 0 0
## 903 85.0 24.86 14 0 1
## 1215 70.0 19.31 11 0 0
## 1403 77.0 23.96 13 0 1
## 2289 84.0 24.61 14 0 0
## 2011 79.0 26.31 14 0 0
## 431 99.0 23.46 14 0 0
## 977 94.0 25.86 14 0 0
## 687 101.0 34.96 13 0 0
## 1748 71.0 18.92 7 0 0
## 1615 96.0 28.02 14 0 0
## 770 83.0 20.77 10 1 0
## 596 61.0 13.44 9 0 0
## 751 98.0 26.71 14 0 0
## 2264 88.0 27.19 14 0 0
## 694 80.0 18.32 10 0 1
## 1238 73.0 17.99 11 0 0
## 1324 90.0 22.97 13 0 0
## 992 78.0 23.05 11 0 0
## 1545 87.5 25.18 14 0 0
## 65 87.0 26.89 12 1 1
## 1739 85.0 25.21 10 0 0
## 2098 82.0 24.78 14 1 0
## 2104 85.5 24.24 14 0 0
## 1010 84.0 24.91 14 0 0
## 2221 81.0 22.81 14 0 0
## 1783 95.0 27.19 13 1 0
## 1521 98.0 27.53 14 0 0
## 1516 81.5 25.05 14 0 0
## 1608 86.0 24.33 14 0 0
## 1225 74.0 19.71 12 0 0
## 1939 79.0 24.53 14 0 0
## 813 85.0 28.17 14 0 1
## 377 90.5 27.33 14 0 0
## 513 89.0 25.46 14 1 0
## 976 97.0 26.02 14 0 0
## 1257 106.0 35.55 14 0 1
## 1798 82.0 22.91 13 0 0
## 701 88.0 25.98 14 0 0
## 1058 84.0 22.77 12 0 0
## 1875 84.0 25.86 14 0 0
## 371 97.0 22.07 11 0 0
## 301 99.0 27.89 14 0 1
## 1974 102.0 28.26 14 0 0
## 1647 82.0 21.42 13 0 0
## 1920 88.0 25.78 14 0 0
## 1966 97.0 26.45 13 0 0
## 2077 86.0 26.62 14 0 0
## 1992 65.0 18.34 14 0 0
## 1789 86.0 22.77 13 0 0
## 2101 85.5 26.71 14 0 0
## 955 75.0 19.53 12 1 1
## 1588 90.5 25.20 14 1 0
## 1981 76.0 19.31 14 0 0
## 133 97.0 27.10 14 0 1
## 2140 100.0 29.90 14 1 0testData## X Age Education_ID Mobility body_height MNAa_q3 body_weight MNAb_tot
## 3 3 81 1 4 146.3 2 47.00 13.0
## 15 15 88 2 4 134.1 2 55.90 12.0
## 21 21 98 1 4 143.0 2 59.70 11.5
## 22 22 83 1 4 162.5 2 85.20 12.0
## 28 28 80 2 4 146.0 2 48.80 12.5
## 42 42 91 2 4 169.0 2 69.20 11.5
## 43 43 72 3 4 145.4 2 50.80 14.0
## 47 47 76 1 4 153.3 2 60.40 9.0
## 50 50 86 2 4 153.1 2 54.20 8.5
## 53 53 88 1 4 153.4 1 68.70 7.5
## 57 57 81 1 4 153.9 2 67.70 11.5
## 58 58 88 1 4 138.1 2 77.60 12.0
## 59 59 77 2 4 146.4 2 40.40 10.0
## 62 62 73 2 4 158.7 2 73.00 13.0
## 66 66 82 2 4 166.1 2 81.80 10.5
## 82 82 93 1 4 151.0 1 43.00 12.5
## 84 84 87 1 4 148.2 2 51.40 9.5
## 85 85 97 1 4 143.0 1 54.50 12.5
## 87 87 72 3 4 162.0 2 58.20 10.0
## 96 96 80 3 4 149.9 2 47.20 14.0
## 97 97 82 2 4 160.6 2 62.95 13.0
## 101 101 92 1 4 145.0 2 50.40 8.0
## 106 106 74 2 4 159.2 2 54.40 13.5
## 107 107 94 2 3 146.0 2 50.60 9.5
## 109 109 89 1 4 148.0 2 44.40 11.5
## 110 110 85 3 4 138.1 2 51.20 12.0
## 111 111 86 3 4 160.9 2 56.30 13.0
## 128 128 85 2 4 161.5 2 51.95 14.5
## 129 129 100 1 3 141.0 2 34.70 6.5
## 131 131 81 1 4 154.5 2 47.70 13.0
## 146 146 84 3 4 149.5 2 54.10 13.5
## 157 157 89 1 4 154.4 2 47.20 8.5
## 158 158 100 1 4 139.0 2 48.80 12.5
## 169 169 78 3 4 158.8 2 63.30 10.5
## 171 171 71 2 4 164.0 2 65.30 10.0
## 186 186 75 2 4 153.8 2 50.60 12.0
## 192 192 76 3 4 156.1 2 55.80 13.5
## 197 197 81 2 4 165.9 2 50.50 13.0
## 212 212 84 1 3 147.0 1 51.80 12.0
## 219 219 69 3 4 147.5 2 47.55 8.5
## 222 222 78 2 4 152.5 2 44.80 9.0
## 226 226 82 2 4 160.0 2 75.10 10.5
## 231 231 97 1 3 145.0 2 44.00 13.0
## 233 233 86 3 4 165.6 2 64.50 9.5
## 235 235 70 3 4 152.1 2 49.70 11.5
## 244 244 83 2 4 145.0 2 38.40 11.0
## 248 248 84 1 4 142.2 2 48.90 13.5
## 257 257 92 2 4 166.5 2 78.50 14.0
## 260 260 80 4 4 156.5 2 41.00 13.5
## 265 265 86 3 4 159.0 2 56.30 13.0
## 268 268 87 2 4 156.9 2 54.00 14.5
## 272 272 90 2 4 165.0 2 71.80 12.0
## 273 273 89 1 4 143.7 2 43.20 10.0
## 285 285 84 2 4 140.1 2 48.05 14.0
## 288 288 78 2 4 155.0 2 54.50 13.5
## 293 293 102 1 3 150.0 2 53.00 12.5
## 298 298 86 1 4 150.0 2 37.00 7.0
## 302 302 91 1 4 173.0 2 71.00 12.5
## 305 305 88 1 4 157.0 2 67.00 9.5
## 306 306 84 2 4 147.0 2 48.00 6.0
## 308 308 85 2 4 147.0 2 59.00 13.5
## 320 320 78 1 4 144.0 2 54.80 13.0
## 324 324 85 3 3 162.0 1 65.00 13.0
## 333 333 88 1 4 148.9 2 47.50 10.0
## 334 334 93 3 3 155.9 2 56.10 12.0
## 338 338 82 1 4 154.0 2 57.80 13.0
## 340 340 81 3 4 154.5 2 44.90 11.5
## 345 345 81 1 4 154.0 2 45.00 13.5
## 350 350 92 2 4 160.0 2 79.50 13.5
## 356 356 85 3 4 158.0 2 58.10 13.5
## 359 359 81 1 4 148.8 2 56.30 12.5
## 360 360 104 2 4 154.1 2 36.10 10.0
## 361 361 88 1 4 140.1 2 53.40 9.5
## 364 364 89 1 4 151.0 2 66.10 12.5
## 368 368 101 1 3 153.0 2 59.90 10.0
## 370 370 85 2 4 149.5 2 30.20 7.0
## 381 381 98 1 4 164.0 2 73.60 13.0
## 382 382 76 2 4 152.0 2 46.60 13.5
## 388 388 99 4 4 159.0 1 58.90 13.0
## 391 391 99 1 4 154.0 2 45.70 12.5
## 404 404 77 1 4 135.0 2 47.40 12.5
## 410 410 91 1 4 170.0 2 71.00 13.0
## 414 414 75 4 4 168.0 2 75.40 12.0
## 416 416 88 2 4 164.8 2 64.10 12.0
## 418 418 79 2 4 147.5 2 49.30 10.5
## 423 423 75 2 3 156.5 2 63.10 13.0
## 427 427 69 2 4 159.6 2 49.60 10.5
## 428 428 86 2 4 163.4 2 73.90 10.5
## 429 429 70 3 4 149.0 2 40.10 11.5
## 437 437 72 2 4 150.7 2 61.20 12.5
## 438 438 94 1 4 145.3 2 49.20 11.0
## 442 442 90 3 4 162.0 2 52.00 13.0
## 451 451 87 2 4 161.0 2 65.60 12.5
## 453 453 74 2 4 163.9 2 68.50 12.5
## 454 454 75 2 4 151.0 2 49.50 13.0
## 472 472 85 2 4 148.7 2 56.10 14.0
## 476 476 79 2 4 158.4 2 78.40 13.0
## 478 478 77 3 4 161.1 2 70.20 12.5
## 483 483 67 4 4 161.7 2 64.90 11.5
## 485 485 70 3 4 157.1 2 59.30 12.5
## 486 486 70 3 4 155.9 2 66.20 12.0
## 490 490 91 3 3 150.0 2 49.30 10.0
## 496 496 93 2 4 159.0 2 52.30 11.5
## 500 500 91 3 4 153.4 2 54.80 11.5
## 501 501 79 2 4 145.1 2 54.20 13.0
## 508 508 78 3 4 172.0 2 62.70 12.5
## 509 509 77 4 3 168.2 1 69.20 10.5
## 514 514 82 3 4 140.4 0 65.95 12.0
## 518 518 73 3 4 158.5 2 53.70 14.0
## 519 519 94 4 4 147.7 2 55.00 12.0
## 520 520 74 1 4 157.0 2 62.10 12.5
## 521 521 69 3 4 163.5 2 47.90 13.5
## 525 525 78 3 4 156.6 2 55.90 12.0
## 534 534 86 2 4 155.5 2 51.50 9.5
## 536 536 100 1 4 145.0 2 54.40 12.0
## 546 546 82 2 4 151.0 2 39.70 9.0
## 569 569 78 2 4 148.2 2 51.95 13.0
## 570 570 71 1 4 152.7 2 55.65 13.0
## 574 574 78 1 4 143.8 2 52.70 14.5
## 578 578 81 2 4 152.2 2 65.60 13.5
## 585 585 77 1 4 148.5 2 47.30 12.5
## 590 590 79 3 4 145.5 2 50.80 13.5
## 603 603 69 2 4 160.1 2 60.90 12.0
## 604 604 81 1 4 152.9 2 57.30 9.5
## 609 609 78 2 4 149.1 2 66.00 10.0
## 623 623 71 2 4 150.0 2 66.30 12.5
## 624 624 76 2 4 160.9 2 68.60 11.0
## 632 632 67 4 4 166.5 2 69.70 12.0
## 640 640 72 3 4 151.9 2 52.90 10.5
## 647 647 72 1 4 148.9 2 55.30 12.5
## 655 655 72 1 4 153.2 2 68.70 13.5
## 664 664 75 4 4 151.5 2 68.90 12.5
## 666 666 71 3 4 159.0 2 64.30 12.5
## 676 676 69 3 4 160.5 2 61.80 13.5
## 688 688 75 3 4 152.5 2 54.10 14.0
## 689 689 72 3 4 153.3 2 62.70 11.5
## 691 691 78 3 4 161.7 2 52.60 13.5
## 715 715 80 1 4 155.2 2 34.00 7.5
## 718 718 70 2 4 168.7 2 63.80 13.5
## 724 724 84 1 4 160.5 2 49.00 9.5
## 726 726 87 2 4 133.5 2 38.40 11.5
## 732 732 76 1 4 151.8 2 68.90 13.0
## 734 734 86 3 4 153.0 2 55.40 12.5
## 735 735 75 3 4 155.5 2 73.20 12.5
## 739 739 71 2 4 145.4 2 57.60 11.5
## 749 749 94 1 4 146.0 2 51.30 12.5
## 759 759 88 2 4 156.9 2 60.30 14.5
## 760 760 81 2 4 150.0 2 57.50 11.5
## 761 761 76 2 4 160.0 2 64.50 13.0
## 762 762 69 3 4 167.7 2 74.70 9.0
## 763 763 88 3 4 144.0 2 37.70 8.5
## 768 768 68 3 4 155.5 2 59.90 8.5
## 769 769 67 2 4 172.8 2 83.20 12.5
## 771 771 75 2 4 156.0 2 52.80 12.5
## 774 774 74 3 4 155.5 2 46.50 11.0
## 775 775 75 2 4 154.5 2 63.60 12.5
## 777 777 85 1 1 150.0 1 50.10 12.5
## 787 787 73 3 4 146.4 2 55.80 13.5
## 795 795 94 1 4 142.5 2 36.10 10.5
## 802 802 83 1 4 163.8 2 55.70 11.5
## 808 808 88 1 4 143.4 2 48.40 13.5
## 821 821 82 1 4 145.1 2 41.50 13.0
## 822 822 76 4 4 154.1 2 55.60 11.5
## 824 824 72 1 4 158.3 2 52.80 13.0
## 826 826 75 3 4 172.7 2 73.40 11.5
## 827 827 80 1 4 150.7 2 56.30 14.5
## 840 840 74 1 4 146.4 2 47.30 12.5
## 841 841 71 1 4 157.8 2 49.70 11.0
## 849 849 81 3 4 146.7 2 54.60 14.0
## 851 851 74 2 4 153.0 2 62.00 13.0
## 852 852 67 2 4 157.3 2 67.80 11.0
## 864 864 66 1 4 148.3 2 48.50 13.0
## 868 868 82 1 4 161.8 2 61.20 12.0
## 874 874 76 2 4 153.9 2 58.70 11.5
## 875 875 84 1 4 154.2 2 53.00 14.5
## 881 881 84 1 4 153.0 2 65.50 11.5
## 895 895 70 2 4 151.0 2 56.70 13.5
## 900 900 88 1 3 140.7 2 64.20 12.5
## 908 908 74 2 4 154.1 2 60.00 12.0
## 910 910 70 2 4 157.4 2 63.30 11.5
## 918 918 81 1 4 159.3 2 45.00 10.0
## 920 920 93 1 4 158.1 2 43.80 12.0
## 934 934 89 1 4 157.6 2 48.00 13.5
## 938 938 87 3 4 172.4 2 74.70 15.0
## 942 942 83 1 4 152.7 2 54.60 9.5
## 943 943 86 1 3 160.6 2 65.40 12.5
## 944 944 65 3 4 155.0 2 52.00 12.5
## 949 949 74 2 4 156.5 2 56.50 11.0
## 951 951 87 4 4 157.2 2 54.50 12.0
## 954 954 68 3 4 162.9 2 66.00 14.0
## 966 966 84 2 4 156.2 2 40.70 12.5
## 968 968 65 3 4 148.1 2 59.90 14.0
## 972 972 65 2 4 160.6 2 72.80 12.5
## 975 975 79 1 4 152.0 2 53.70 13.0
## 980 980 83 2 4 143.6 2 64.45 12.0
## 996 996 80 1 4 157.3 2 56.60 11.5
## 1007 1007 74 1 4 162.0 2 62.40 12.5
## 1008 1008 88 1 4 156.4 2 62.50 12.0
## 1012 1012 65 4 4 169.2 2 88.10 12.0
## 1013 1013 65 2 4 158.0 2 68.90 15.0
## 1014 1014 72 2 4 159.8 2 87.35 10.5
## 1022 1022 89 1 3 137.2 2 37.80 8.5
## 1027 1027 69 3 4 151.3 2 48.35 12.5
## 1037 1037 78 2 4 152.4 2 51.70 12.0
## 1039 1039 68 3 4 146.0 2 43.60 11.0
## 1040 1040 66 2 4 166.0 2 62.80 10.0
## 1045 1045 69 2 4 156.3 2 45.60 13.0
## 1050 1050 65 3 4 138.3 2 39.00 14.0
## 1051 1051 83 1 4 151.1 2 57.90 11.0
## 1062 1062 70 1 4 161.0 2 59.65 11.5
## 1069 1069 66 3 1 158.8 2 81.70 10.5
## 1071 1071 85 4 3 158.4 2 48.25 14.0
## 1085 1085 64 3 4 166.0 2 65.50 13.5
## 1089 1089 87 2 3 160.2 2 84.75 12.5
## 1090 1090 75 2 4 153.5 2 58.10 12.0
## 1093 1093 65 3 4 155.5 2 68.10 12.0
## 1094 1094 89 2 3 149.0 2 55.50 11.5
## 1097 1097 61 3 4 152.8 2 57.25 11.0
## 1103 1103 86 1 4 153.5 2 45.80 10.5
## 1105 1105 67 3 4 164.9 2 47.70 11.5
## 1112 1112 64 3 4 158.0 2 53.70 15.0
## 1125 1125 74 2 4 150.8 2 61.80 11.5
## 1128 1128 65 3 4 163.1 2 80.90 14.0
## 1131 1131 94 1 4 149.0 2 45.50 8.5
## 1137 1137 77 3 4 160.0 2 55.10 12.0
## 1140 1140 71 2 4 151.4 2 52.90 13.5
## 1141 1141 76 1 4 152.0 2 48.30 12.0
## 1150 1150 74 3 4 164.2 2 72.50 13.5
## 1151 1151 86 2 4 154.0 2 62.30 14.0
## 1157 1157 86 2 4 159.0 2 53.50 14.0
## 1160 1160 73 3 4 154.5 2 54.90 13.0
## 1168 1168 71 3 4 151.0 2 49.90 13.0
## 1170 1170 72 1 4 151.0 2 65.90 11.5
## 1171 1171 80 1 4 149.0 2 52.30 12.5
## 1173 1173 74 1 4 150.4 2 52.40 13.5
## 1174 1174 84 3 4 166.5 2 62.50 11.5
## 1178 1178 77 1 4 143.0 2 59.60 12.0
## 1184 1184 86 2 4 141.0 2 32.90 9.0
## 1197 1197 84 1 4 147.5 2 52.60 12.0
## 1198 1198 88 1 4 148.0 2 52.50 13.0
## 1203 1203 79 1 4 152.0 2 59.10 11.0
## 1207 1207 83 3 4 150.5 2 38.80 8.5
## 1211 1211 83 1 4 157.9 2 69.40 13.5
## 1216 1216 76 2 4 163.0 2 66.10 11.0
## 1226 1226 71 2 4 160.0 2 56.40 10.0
## 1228 1228 71 2 4 156.5 2 48.90 12.5
## 1229 1229 91 2 4 151.0 0 63.90 12.0
## 1236 1236 77 3 4 167.0 2 59.40 13.5
## 1240 1240 77 2 4 158.8 2 59.80 11.5
## 1254 1254 68 2 4 150.5 2 67.00 9.5
## 1259 1259 62 3 4 160.2 2 69.50 12.0
## 1266 1266 92 3 4 155.9 2 53.90 14.5
## 1277 1277 82 2 4 150.5 2 54.20 12.0
## 1285 1285 84 3 4 164.7 2 46.50 9.5
## 1296 1296 70 3 4 146.6 2 59.70 11.5
## 1303 1303 84 2 4 150.2 2 46.20 11.5
## 1307 1307 83 1 4 142.0 2 44.30 8.0
## 1318 1318 77 2 4 160.5 2 55.20 11.5
## 1319 1319 68 2 4 154.8 2 52.10 12.5
## 1321 1321 67 3 4 163.9 2 80.50 12.5
## 1335 1335 65 2 4 166.8 2 59.40 13.0
## 1338 1338 71 2 4 157.3 2 66.50 13.0
## 1342 1342 65 2 4 163.7 2 68.40 12.0
## 1357 1357 72 3 4 152.6 2 51.90 14.0
## 1374 1374 63 2 4 154.6 2 48.70 14.0
## 1375 1375 79 1 4 153.7 2 44.60 12.5
## 1383 1383 82 2 3 150.0 2 90.30 10.5
## 1389 1389 66 3 4 153.0 2 56.00 13.0
## 1391 1391 90 1 4 147.0 2 53.30 12.5
## 1392 1392 87 1 4 145.0 2 42.50 12.5
## 1393 1393 74 1 4 151.0 2 61.90 13.0
## 1405 1405 85 1 4 158.0 2 52.70 13.5
## 1417 1417 75 2 4 148.0 2 45.20 14.5
## 1420 1420 82 3 4 161.7 2 58.90 10.0
## 1421 1421 87 3 3 158.5 2 60.60 9.0
## 1422 1422 80 2 4 145.7 2 76.50 12.0
## 1432 1432 73 3 4 161.4 2 82.50 12.5
## 1441 1441 63 3 4 153.0 2 46.70 13.5
## 1444 1444 70 2 4 156.4 2 55.50 11.5
## 1447 1447 66 2 4 156.9 2 70.80 13.0
## 1453 1453 73 3 4 162.5 2 66.90 11.5
## 1455 1455 69 3 4 161.0 2 43.90 12.5
## 1472 1472 85 2 4 159.1 2 58.80 12.0
## 1473 1473 80 2 4 157.6 2 55.80 13.5
## 1474 1474 69 2 4 153.1 2 67.10 13.5
## 1476 1476 85 3 4 161.8 2 69.50 13.5
## 1478 1478 75 4 4 163.0 2 53.70 12.0
## 1479 1479 74 3 4 146.0 2 47.20 13.5
## 1480 1480 70 2 4 152.2 2 51.50 12.0
## 1484 1484 68 2 4 159.9 2 65.90 12.5
## 1485 1485 67 3 3 157.0 2 68.00 12.5
## 1491 1491 77 3 4 164.9 2 59.30 12.0
## 1493 1493 94 2 4 154.4 2 52.90 10.0
## 1494 1494 71 3 4 158.0 2 70.40 12.5
## 1510 1510 82 3 4 154.3 2 48.90 12.5
## 1524 1524 68 2 4 137.3 2 51.40 11.5
## 1525 1525 72 2 4 146.9 2 44.20 13.0
## 1528 1528 93 1 4 157.6 2 69.40 13.0
## 1529 1529 80 2 4 150.0 2 51.10 10.5
## 1539 1539 85 3 4 109.0 2 67.10 12.0
## 1551 1551 86 3 4 158.6 2 59.30 11.5
## 1556 1556 80 2 3 152.2 2 49.50 12.0
## 1558 1558 93 2 3 148.5 2 41.80 11.0
## 1570 1570 78 2 4 152.8 2 51.30 11.5
## 1574 1574 77 1 4 153.7 2 61.90 13.5
## 1575 1575 76 3 4 156.7 2 49.50 11.5
## 1578 1578 80 2 3 161.7 2 57.40 9.0
## 1582 1582 71 3 4 153.5 2 60.50 13.0
## 1590 1590 77 2 4 158.5 2 64.20 13.0
## 1591 1591 64 2 4 144.2 2 43.50 11.0
## 1597 1597 90 1 4 154.0 2 58.20 13.5
## 1600 1600 77 2 4 142.3 2 41.10 11.0
## 1606 1606 83 1 4 151.5 2 68.90 13.0
## 1607 1607 84 2 3 151.0 2 54.30 11.0
## 1613 1613 81 2 4 156.1 2 65.70 12.5
## 1619 1619 94 2 4 147.5 2 43.20 13.0
## 1622 1622 67 3 4 154.7 2 55.60 12.0
## 1625 1625 84 1 3 143.5 2 61.00 12.5
## 1629 1629 84 1 4 152.8 2 62.80 14.0
## 1643 1643 86 2 4 165.0 2 66.00 13.5
## 1644 1644 86 1 4 150.0 2 40.60 8.0
## 1646 1646 85 1 4 156.8 2 57.10 10.5
## 1650 1650 71 3 4 117.7 2 41.60 13.5
## 1653 1653 90 2 4 158.5 2 65.10 13.5
## 1654 1654 82 1 4 140.9 2 53.20 15.0
## 1659 1659 77 1 4 161.9 2 57.40 13.0
## 1660 1660 74 1 4 151.8 2 61.00 12.5
## 1663 1663 83 1 4 152.2 2 58.00 11.5
## 1664 1664 91 1 4 150.2 2 47.70 7.5
## 1667 1667 81 3 4 161.3 2 71.70 11.5
## 1672 1672 82 2 4 159.1 2 55.70 13.0
## 1675 1675 83 1 3 134.7 2 50.50 10.5
## 1679 1679 66 2 4 145.6 2 49.20 12.0
## 1680 1680 85 1 4 149.1 2 47.50 10.5
## 1681 1681 81 2 4 148.0 2 68.30 11.5
## 1685 1685 81 3 4 152.4 2 53.30 12.0
## 1692 1692 78 1 4 144.3 2 59.30 12.0
## 1694 1694 86 1 4 146.3 2 63.40 10.5
## 1696 1696 75 2 4 148.7 2 75.20 12.5
## 1703 1703 83 1 4 151.1 2 71.60 13.5
## 1704 1704 81 1 4 141.0 2 46.60 11.5
## 1709 1709 81 1 4 143.7 2 54.10 12.5
## 1712 1712 80 1 4 144.1 2 58.00 9.5
## 1715 1715 78 2 4 171.3 2 73.50 13.0
## 1724 1724 75 2 4 141.0 2 41.10 10.5
## 1728 1728 74 2 4 166.1 2 53.90 12.5
## 1732 1732 63 3 4 162.1 2 63.30 12.5
## 1740 1740 85 2 3 143.4 2 38.90 9.5
## 1741 1741 83 4 4 150.6 2 54.20 9.0
## 1742 1742 81 4 4 159.1 2 54.50 13.5
## 1750 1750 87 2 3 136.1 2 56.80 11.5
## 1751 1751 65 3 4 164.7 2 64.90 10.5
## 1755 1755 62 3 4 159.8 2 62.00 12.5
## 1756 1756 63 3 4 168.2 2 50.00 12.0
## 1765 1765 64 2 4 160.5 2 56.40 9.0
## 1766 1766 64 2 4 164.0 2 47.80 11.5
## 1767 1767 63 2 4 160.9 2 68.40 12.0
## 1769 1769 79 1 4 150.4 2 52.70 11.5
## 1771 1771 73 2 4 150.1 2 57.90 13.0
## 1774 1774 76 4 4 166.0 2 70.00 12.0
## 1780 1780 61 4 4 169.2 2 76.70 13.5
## 1782 1782 63 3 4 155.0 2 52.10 10.5
## 1797 1797 71 2 4 153.1 2 44.90 13.5
## 1800 1800 72 2 4 168.8 2 66.20 14.0
## 1802 1802 61 2 4 162.0 2 50.60 12.5
## 1803 1803 70 1 4 149.2 2 54.20 15.0
## 1806 1806 71 4 4 150.3 2 57.80 12.5
## 1815 1815 89 2 3 150.6 2 52.70 11.5
## 1819 1819 65 2 4 149.7 2 66.90 8.5
## 1830 1830 69 2 4 146.6 2 48.20 12.0
## 1837 1837 81 1 4 151.2 2 59.00 13.5
## 1843 1843 72 3 4 160.0 2 65.40 13.5
## 1845 1845 86 1 4 145.8 2 52.40 10.0
## 1847 1847 84 2 3 155.1 2 52.40 13.0
## 1850 1850 75 3 4 168.6 2 56.90 13.5
## 1855 1855 85 1 4 151.3 2 57.00 12.5
## 1863 1863 90 2 3 157.0 2 67.40 12.5
## 1864 1864 78 2 4 160.3 2 62.05 14.0
## 1867 1867 73 2 4 157.4 2 39.60 12.5
## 1869 1869 73 3 4 162.8 2 73.80 13.5
## 1890 1890 86 3 4 153.8 2 47.40 12.5
## 1894 1894 75 1 4 152.2 2 69.90 12.0
## 1898 1898 83 2 4 147.7 2 51.90 11.5
## 1907 1907 75 3 4 147.8 2 68.60 12.0
## 1908 1908 79 1 4 157.7 2 63.60 10.5
## 1912 1912 85 2 4 163.4 2 76.70 10.0
## 1915 1915 81 1 4 159.1 2 59.60 12.5
## 1924 1924 71 1 4 162.6 2 62.70 11.5
## 1925 1925 74 1 4 158.4 2 71.60 14.0
## 1926 1926 85 1 4 163.8 2 51.70 11.0
## 1929 1929 75 3 4 164.7 2 52.90 10.5
## 1932 1932 75 1 4 157.9 2 51.40 9.5
## 1940 1940 71 2 4 158.3 2 59.60 13.0
## 1941 1941 83 1 4 153.0 2 49.00 12.0
## 1945 1945 67 3 4 160.5 2 61.60 12.5
## 1947 1947 69 1 4 152.4 2 56.60 12.5
## 1949 1949 90 1 4 149.7 2 49.70 11.5
## 1952 1952 61 2 4 148.5 2 54.30 12.0
## 1953 1953 69 1 4 153.7 2 49.90 14.0
## 1954 1954 69 2 4 146.2 2 48.20 12.5
## 1957 1957 62 4 4 160.0 2 64.90 12.0
## 1958 1958 87 1 3 145.3 2 59.80 13.0
## 1959 1959 81 1 4 165.7 2 61.40 12.5
## 1964 1964 65 1 4 157.2 2 55.90 14.0
## 1977 1977 70 3 4 169.5 2 75.40 14.0
## 1980 1980 84 2 4 160.5 2 64.00 12.0
## 1983 1983 71 3 4 165.2 2 69.80 13.5
## 1986 1986 83 2 4 161.8 2 57.70 13.5
## 1988 1988 76 1 4 153.3 2 55.25 12.5
## 1996 1996 68 2 4 152.2 2 66.10 12.0
## 1998 1998 62 2 4 166.0 2 59.70 13.5
## 2005 2005 75 2 3 153.3 2 58.50 12.5
## 2008 2008 86 1 4 152.4 2 63.40 13.5
## 2010 2010 69 2 3 153.7 2 50.70 12.0
## 2018 2018 64 1 4 159.6 2 65.10 13.0
## 2025 2025 68 1 4 152.3 2 46.40 12.5
## 2034 2034 79 1 3 154.2 2 61.50 11.5
## 2045 2045 80 3 4 162.1 2 65.80 13.5
## 2049 2049 66 2 4 163.8 2 70.80 13.0
## 2054 2054 65 1 4 160.5 2 59.20 13.0
## 2061 2061 69 2 4 147.8 2 54.90 13.5
## 2064 2064 62 2 4 156.2 2 59.00 13.5
## 2076 2076 72 2 4 155.8 2 50.00 12.5
## 2080 2080 79 3 4 152.4 2 57.10 13.5
## 2083 2083 68 1 4 150.8 2 59.20 12.5
## 2092 2092 74 1 4 154.5 2 67.70 15.0
## 2093 2093 70 3 4 150.5 2 53.80 13.5
## 2105 2105 64 4 4 159.4 2 61.30 14.0
## 2131 2131 86 1 3 146.3 2 61.10 14.5
## 2133 2133 71 2 4 151.8 2 49.10 12.0
## 2139 2139 76 2 4 150.2 2 62.20 11.5
## 2143 2143 78 1 3 143.0 2 48.00 13.0
## 2149 2149 76 2 4 149.3 2 47.90 12.0
## 2153 2153 66 3 4 148.1 2 46.40 12.5
## 2165 2165 77 3 4 145.6 2 51.80 13.5
## 2166 2166 63 3 4 165.2 2 66.20 13.5
## 2174 2174 71 1 4 161.0 2 48.40 13.0
## 2175 2175 64 1 4 152.3 2 53.40 12.5
## 2184 2184 86 4 1 145.8 2 48.90 10.0
## 2193 2193 92 1 4 153.1 2 68.50 8.0
## 2194 2194 70 2 4 165.1 2 72.00 11.0
## 2208 2208 73 1 4 144.8 2 59.30 11.0
## 2210 2210 67 2 4 173.7 2 74.60 15.0
## 2215 2215 63 1 4 168.3 2 59.30 13.0
## 2233 2233 63 2 4 164.8 2 61.20 13.5
## 2242 2242 77 2 4 161.7 2 59.20 13.5
## 2248 2248 66 3 4 158.1 2 65.70 13.5
## 2250 2250 61 3 4 152.4 2 51.60 14.0
## 2252 2252 69 1 4 161.2 2 62.20 13.5
## 2253 2253 69 2 4 150.7 2 54.20 12.0
## 2255 2255 71 1 4 148.0 2 55.70 11.5
## 2256 2256 61 3 4 165.7 2 76.30 12.0
## 2261 2261 91 2 4 153.9 2 54.85 13.5
## 2263 2263 51 3 4 146.5 2 42.60 9.5
## 2266 2266 67 3 4 162.4 2 50.20 13.5
## 2273 2273 65 3 4 153.6 2 44.90 14.0
## 2276 2276 73 3 4 150.4 2 51.40 12.0
## 2290 2290 72 2 4 154.7 2 59.80 12.5
## 2295 2295 62 3 4 158.5 2 60.70 14.0
## 2299 2299 63 2 4 150.5 2 41.10 10.5
## waist bmi MNAa_tot Endocrine.Disease_Hyperlipidaemia MMSE_class_2
## 3 73.5 21.96 13 0 0
## 15 109.0 31.06 14 1 1
## 21 104.0 29.19 14 0 1
## 22 117.0 32.27 13 0 1
## 28 85.0 22.87 13 0 0
## 42 85.5 24.23 14 0 0
## 43 80.0 24.03 13 0 0
## 47 102.0 25.70 12 0 0
## 50 87.5 23.10 10 0 0
## 53 102.0 29.19 12 0 1
## 57 100.0 28.56 14 0 0
## 58 108.0 40.66 14 0 1
## 59 76.0 18.83 11 0 0
## 62 94.0 28.98 14 1 0
## 66 107.0 29.65 14 1 0
## 82 93.5 18.86 7 0 1
## 84 85.0 23.38 14 1 0
## 85 99.0 26.65 13 0 1
## 87 87.0 22.18 11 0 1
## 96 88.0 20.98 13 0 0
## 97 92.0 24.41 14 0 0
## 101 94.0 23.97 14 0 1
## 106 84.0 21.46 11 0 0
## 107 77.0 23.74 12 0 1
## 109 72.0 20.27 9 0 1
## 110 87.5 26.82 14 0 0
## 111 85.0 21.75 12 1 0
## 128 80.0 19.92 12 1 0
## 129 80.0 17.45 8 0 1
## 131 88.0 19.96 11 0 0
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## 1908 94.0 25.55 13 0 1
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## 1926 83.0 19.25 8 1 0
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## 2295 87.0 24.14 14 0 0
## 2299 67.0 18.12 11 0 0# Fitting the Logistic Regression model
logistic_model <- glm(MMSE_class_2 ~ Age + body_height + body_weight + Education_ID + Mobility + MNAa_tot + MNAb_tot + waist + bmi, data = trainData, family = "binomial")# Making predictions
logistic_predictions <- predict(logistic_model, newdata = testData, type = "response")# Converting probabilities to binary predictions
logistic_predictions_binary <- ifelse(logistic_predictions > 0.5, 1, 0)
# Evaluating model performance
logistic_accuracy <- sum(logistic_predictions_binary == testData$MMSE_class_2) / length(testData$MMSE_class_2)logistic_accuracy## [1] 0.8130435# Fitting the Random Forest model
library(randomForest)## randomForest 4.7-1.1## Type rfNews() to see new features/changes/bug fixes.##
## Attaching package: 'randomForest'## The following object is masked from 'package:ggplot2':
##
## marginset.seed(123)
rf_model <- randomForest(factor(MMSE_class_2) ~ Age + body_height + body_weight + Education_ID + Mobility + MNAa_tot + MNAb_tot + waist + bmi, data = trainData)# Making predictions
rf_predictions <- predict(rf_model, newdata = testData, type = "response")
rf_predictions_numeric <- as.numeric(as.character(rf_predictions))
rf_predictions_binary <- ifelse(rf_predictions_numeric > 0.5, 1, 0)# Evaluating model performance
rf_accuracy <- sum(rf_predictions_binary == testData$MMSE_class_2) / length(testData$MMSE_class_2)rf_accuracy## [1] 0.8304348# Calculating confusion matrix for Logistic Regression
conf_matrix_logistic <- table(logistic_predictions_binary, testData$MMSE_class_2)
conf_matrix_logistic##
## logistic_predictions_binary 0 1
## 0 340 75
## 1 11 34# Calculating confusion matrix for Random Forest
conf_matrix_rf <- table(rf_predictions_binary, testData$MMSE_class_2)
conf_matrix_rf##
## rf_predictions_binary 0 1
## 0 344 71
## 1 7 38# Define a function to calculate precision, recall, and F1-score
calculate_metrics <- function(conf_matrix) {
tp <- conf_matrix[2,2]
fp <- conf_matrix[1,2]
fn <- conf_matrix[2,1]
precision <- tp / (tp + fp)
recall <- tp / (tp + fn)
f1_score <- 2 * (precision * recall) / (precision + recall)
metrics <- c(Precision = precision, Recall = recall, F1_Score = f1_score)
return(metrics)
}
# Calculate metrics for Logistic Regression
metrics_logistic <- calculate_metrics(conf_matrix_logistic)
# Calculate metrics for Random Forest
metrics_rf <- calculate_metrics(conf_matrix_rf)
metrics_rf## Precision Recall F1_Score
## 0.3486239 0.8444444 0.4935065