3. Machine learning classfication model use-case using DriveML
About the dataset
This database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. In particular, the Cleveland database is the only one that has been used by ML researchers to this date. The “goal” field refers to the presence of heart disease in the patient. It is integer valued from 0 (no presence) to 4.
Data Source https://archive.ics.uci.edu/ml/datasets/Heart+Disease
Install the package “DriveML” to get the example data set.
library("DriveML")
library("SmartEDA")
## Load sample dataset from ISLR pacakge
data(heart)more detailed attribute information is there in DriveML help page
3.1 Data Exploration
For data exploratory analysis used SmartEDA package
Overview of the data
Understanding the dimensions of the dataset, variable names, overall missing summary and data types of each variables
# Overview of the data - Type = 1
ExpData(data=heart,type=1)
# Structure of the data - Type = 2
ExpData(data=heart,type=2)- Overview of the data
Descriptions Value Sample size (nrow) 303 No. of variables (ncol) 14 No. of numeric/interger variables 14 No. of factor variables 0 No. of text variables 0 No. of logical variables 0 No. of identifier variables 0 No. of date variables 0 No. of zero variance variables (uniform) 0 %. of variables having complete cases 100% (14) %. of variables having >0% and <50% missing cases 0% (0) %. of variables having >=50% and <90% missing cases 0% (0) %. of variables having >=90% missing cases 0% (0) - Structure of the data
| Index | Variable_Name | Variable_Type | Per_of_Missing | No_of_distinct_values |
|---|---|---|---|---|
| 1 | age | integer | 0 | 41 |
| 2 | sex | integer | 0 | 2 |
| 3 | cp | integer | 0 | 4 |
| 4 | trestbps | integer | 0 | 49 |
| 5 | chol | integer | 0 | 152 |
| 6 | fbs | integer | 0 | 2 |
| 7 | restecg | integer | 0 | 3 |
| 8 | thalach | integer | 0 | 91 |
| 9 | exang | integer | 0 | 2 |
| 10 | oldpeak | numeric | 0 | 40 |
| 11 | slope | integer | 0 | 3 |
| 12 | ca | integer | 0 | 5 |
| 13 | thal | integer | 0 | 4 |
| 14 | target_var | integer | 0 | 2 |
Summary of numerical variables
ExpNumStat(heart,by="GA",gp="target_var",Qnt=seq(0,1,0.1),MesofShape=2,Outlier=TRUE,round=2)Distributions of Numerical variables
Box plots for all numerical variables vs categorical dependent variable - Bivariate comparison only with classes
Boxplot for all the numerical attributes by each class of the target variable
plot4 <- ExpNumViz(heart,target="target_var",type=1,nlim=3,fname=NULL,Page=c(2,2),sample=8)
plot4[[1]]
Summary of categorical variables
Cross tabulation with target_var variable
Custom tables between all categorical independent variables and the target variable
ExpCTable(Carseats,Target="Urban",margin=1,clim=10,nlim=3,round=2,bin=NULL,per=F)| VARIABLE | CATEGORY | target_var:0 | target_var:1 | TOTAL |
|---|---|---|---|---|
| sex | 0 | 24 | 72 | 96 |
| sex | 1 | 114 | 93 | 207 |
| sex | TOTAL | 138 | 165 | 303 |
| fbs | 0 | 116 | 142 | 258 |
| fbs | 1 | 22 | 23 | 45 |
| fbs | TOTAL | 138 | 165 | 303 |
| restecg | 0 | 79 | 68 | 147 |
| restecg | 1 | 56 | 96 | 152 |
| restecg | 2 | 3 | 1 | 4 |
| restecg | TOTAL | 138 | 165 | 303 |
| exang | 0 | 62 | 142 | 204 |
| exang | 1 | 76 | 23 | 99 |
| exang | TOTAL | 138 | 165 | 303 |
| slope | 0 | 12 | 9 | 21 |
| slope | 1 | 91 | 49 | 140 |
| slope | 2 | 35 | 107 | 142 |
| slope | TOTAL | 138 | 165 | 303 |
| target_var | 0 | 138 | 0 | 138 |
| target_var | 1 | 0 | 165 | 165 |
| target_var | TOTAL | 138 | 165 | 303 |
Distributions of categorical variables
Stacked bar plot with vertical or horizontal bars for all categorical variables
plot5 <- ExpCatViz(heart,target = "target_var", fname = NULL, clim=5,col=c("slateblue4","slateblue1"),margin=2,Page = c(2,1),sample=2)
plot5[[1]]
Outlier analysis using boxplot
ExpOutliers(heart, varlist = c("oldpeak","trestbps","chol"), method = "boxplot", treatment = "mean", capping = c(0.1, 0.9))| Category | oldpeak | trestbps | chol |
|---|---|---|---|
| Lower cap : 0.1 | 0 | 110 | 188 |
| Upper cap : 0.9 | 2.8 | 152 | 308.8 |
| Lower bound | -2.4 | 90 | 115.75 |
| Upper bound | 4 | 170 | 369.75 |
| Num of outliers | 5 | 9 | 5 |
| Lower outlier case | |||
| Upper outlier case | 102,205,222,251,292 | 9,102,111,204,224,242,249,261,267 | 29,86,97,221,247 |
| Mean before | 1.04 | 131.62 | 246.26 |
| Mean after | 0.97 | 130.1 | 243.04 |
| Median before | 0.8 | 130 | 240 |
| Median after | 0.65 | 130 | 240 |
3.2 Data preparations using autoDataprep
dateprep <- autoDataprep(data = heart,
target = 'target_var',
missimpute = 'default',
auto_mar = FALSE,
mar_object = NULL,
dummyvar = TRUE,
char_var_limit = 15,
aucv = 0.002,
corr = 0.98,
outlier_flag = TRUE,
uid = NULL,
onlykeep = NULL,
drop = NULL)
print(dateprep)## $call
## autoDataprep(data = heart, target = "target_var", missimpute = "default",
## auto_mar = FALSE, mar_object = NULL, dummyvar = TRUE, char_var_limit = 15,
## aucv = 0.002, corr = 0.98, outlier_flag = TRUE, uid = NULL,
## onlykeep = NULL, drop = NULL)
##
## $datasummary
## $datasummary$type1
## Descriptions Value
## 1 Sample size (nrow) 303
## 2 No. of variables (ncol) 14
## 3 No. of numeric/interger variables 14
## 4 No. of factor variables 0
## 5 No. of text variables 0
## 6 No. of logical variables 0
## 7 No. of identifier variables 0
## 8 No. of date variables 0
## 9 No. of zero variance variables (uniform) 0
## 10 %. of variables having complete cases 100% (14)
## 11 %. of variables having >0% and <50% missing cases 0% (0)
## 12 %. of variables having >=50% and <90% missing cases 0% (0)
## 13 %. of variables having >=90% missing cases 0% (0)
##
## $datasummary$type2
## Index Variable_Name Variable_Type Per_of_Missing No_of_distinct_values
## 1 1 age integer 0 41
## 2 2 sex integer 0 2
## 3 3 cp integer 0 4
## 4 4 trestbps integer 0 49
## 5 5 chol integer 0 152
## 6 6 fbs integer 0 2
## 7 7 restecg integer 0 3
## 8 8 thalach integer 0 91
## 9 9 exang integer 0 2
## 10 10 oldpeak numeric 0 40
## 11 11 slope integer 0 3
## 12 12 ca integer 0 5
## 13 13 thal integer 0 4
## 14 14 target_var integer 0 2
##
##
## $complete_data
## target_var sex fbs restecg exang slope age cp trestbps chol thalach oldpeak
## 1 1 1 1 0 0 0 63 3 145 233 150 2.3
## 2 1 1 0 1 0 0 37 2 130 250 187 3.5
## 3 1 0 0 0 0 2 41 1 130 204 172 1.4
## 4 1 1 0 1 0 2 56 1 120 236 178 0.8
## 5 1 0 0 1 1 2 57 0 120 354 163 0.6
## 6 1 1 0 1 0 1 57 0 140 192 148 0.4
## 7 1 0 0 0 0 1 56 1 140 294 153 1.3
## 8 1 1 0 1 0 2 44 1 120 263 173 0.0
## 9 1 1 1 1 0 2 52 2 172 199 162 0.5
## 10 1 1 0 1 0 2 57 2 150 168 174 1.6
## 11 1 1 0 1 0 2 54 0 140 239 160 1.2
## 12 1 0 0 1 0 2 48 2 130 275 139 0.2
## 13 1 1 0 1 0 2 49 1 130 266 171 0.6
## 14 1 1 0 0 1 1 64 3 110 211 144 1.8
## 15 1 0 1 0 0 2 58 3 150 283 162 1.0
## 16 1 0 0 1 0 1 50 2 120 219 158 1.6
## 17 1 0 0 1 0 2 58 2 120 340 172 0.0
## 18 1 0 0 1 0 0 66 3 150 226 114 2.6
## 19 1 1 0 1 0 2 43 0 150 247 171 1.5
## 20 1 0 0 1 0 2 69 3 140 239 151 1.8
## 21 1 1 0 1 0 1 59 0 135 234 161 0.5
## 22 1 1 0 1 1 2 44 2 130 233 179 0.4
## 23 1 1 0 1 0 2 42 0 140 226 178 0.0
## 24 1 1 1 1 1 1 61 2 150 243 137 1.0
## 25 1 1 0 1 1 2 40 3 140 199 178 1.4
## 26 1 0 0 1 0 2 71 1 160 302 162 0.4
## 27 1 1 1 1 0 2 59 2 150 212 157 1.6
## 28 1 1 0 1 0 2 51 2 110 175 123 0.6
## 29 1 0 1 0 0 2 65 2 140 417 157 0.8
## 30 1 1 1 0 0 0 53 2 130 197 152 1.2
## 31 1 0 0 1 0 2 41 1 105 198 168 0.0
## 32 1 1 0 1 0 2 65 0 120 177 140 0.4
## 33 1 1 0 0 0 2 44 1 130 219 188 0.0
## 34 1 1 0 0 0 0 54 2 125 273 152 0.5
## 35 1 1 0 0 1 2 51 3 125 213 125 1.4
## 36 1 0 0 0 1 0 46 2 142 177 160 1.4
## 37 1 0 1 1 0 2 54 2 135 304 170 0.0
## 38 1 1 0 0 0 2 54 2 150 232 165 1.6
## 39 1 0 0 1 0 2 65 2 155 269 148 0.8
## 40 1 0 0 0 0 2 65 2 160 360 151 0.8
## 41 1 0 0 0 0 2 51 2 140 308 142 1.5
## 42 1 1 0 0 0 1 48 1 130 245 180 0.2
## 43 1 1 0 0 1 1 45 0 104 208 148 3.0
## 44 1 0 0 0 0 1 53 0 130 264 143 0.4
## 45 1 1 0 0 0 2 39 2 140 321 182 0.0
## 46 1 1 0 1 0 2 52 1 120 325 172 0.2
## 47 1 1 0 0 0 2 44 2 140 235 180 0.0
## 48 1 1 0 0 0 2 47 2 138 257 156 0.0
## 49 1 0 0 0 0 2 53 2 128 216 115 0.0
## 50 1 0 0 0 0 2 53 0 138 234 160 0.0
## 51 1 0 0 0 0 2 51 2 130 256 149 0.5
## 52 1 1 0 0 0 1 66 0 120 302 151 0.4
## 53 1 1 0 1 0 1 62 2 130 231 146 1.8
## 54 1 0 0 1 0 1 44 2 108 141 175 0.6
## 55 1 0 0 0 0 2 63 2 135 252 172 0.0
## 56 1 1 0 1 0 2 52 1 134 201 158 0.8
## 57 1 1 0 0 0 2 48 0 122 222 186 0.0
## 58 1 1 0 0 0 2 45 0 115 260 185 0.0
## 59 1 1 0 0 0 2 34 3 118 182 174 0.0
## 60 1 0 0 0 0 2 57 0 128 303 159 0.0
## 61 1 0 1 0 0 2 71 2 110 265 130 0.0
## 62 1 1 0 1 0 2 54 1 108 309 156 0.0
## 63 1 1 0 0 0 1 52 3 118 186 190 0.0
## 64 1 1 0 1 0 1 41 1 135 203 132 0.0
## 65 1 1 1 0 0 2 58 2 140 211 165 0.0
## 66 1 0 0 1 0 2 35 0 138 183 182 1.4
## 67 1 1 0 1 1 1 51 2 100 222 143 1.2
## 68 1 0 0 0 0 1 45 1 130 234 175 0.6
## 69 1 1 0 1 0 2 44 1 120 220 170 0.0
## 70 1 0 0 1 0 2 62 0 124 209 163 0.0
## 71 1 1 0 0 0 1 54 2 120 258 147 0.4
## 72 1 1 0 1 1 2 51 2 94 227 154 0.0
## 73 1 1 0 0 0 2 29 1 130 204 202 0.0
## 74 1 1 0 0 1 2 51 0 140 261 186 0.0
## 75 1 0 0 1 0 1 43 2 122 213 165 0.2
## 76 1 0 0 0 0 1 55 1 135 250 161 1.4
## 77 1 1 1 0 0 1 51 2 125 245 166 2.4
## 78 1 1 0 1 1 2 59 1 140 221 164 0.0
## 79 1 1 1 1 0 2 52 1 128 205 184 0.0
## 80 1 1 0 0 1 1 58 2 105 240 154 0.6
## 81 1 1 0 1 0 2 41 2 112 250 179 0.0
## 82 1 1 0 0 0 2 45 1 128 308 170 0.0
## 83 1 0 0 1 0 2 60 2 102 318 160 0.0
## 84 1 1 1 1 0 1 52 3 152 298 178 1.2
## 85 1 0 0 0 0 1 42 0 102 265 122 0.6
## 86 1 0 0 0 0 1 67 2 115 564 160 1.6
## 87 1 1 0 1 0 2 68 2 118 277 151 1.0
## 88 1 1 1 1 0 2 46 1 101 197 156 0.0
## 89 1 0 0 1 0 1 54 2 110 214 158 1.6
## 90 1 0 0 0 0 1 58 0 100 248 122 1.0
## 91 1 1 1 1 0 2 48 2 124 255 175 0.0
## 92 1 1 0 1 1 2 57 0 132 207 168 0.0
## 93 1 1 0 1 0 2 52 2 138 223 169 0.0
## 94 1 0 1 0 1 2 54 1 132 288 159 0.0
## 95 1 0 0 1 0 1 45 1 112 160 138 0.0
## 96 1 1 0 0 1 2 53 0 142 226 111 0.0
## 97 1 0 0 0 0 1 62 0 140 394 157 1.2
## 98 1 1 1 1 0 2 52 0 108 233 147 0.1
## 99 1 1 0 1 0 2 43 2 130 315 162 1.9
## 100 1 1 1 0 0 2 53 2 130 246 173 0.0
## 101 1 1 0 0 0 2 42 3 148 244 178 0.8
## 102 1 1 0 0 0 0 59 3 178 270 145 4.2
## 103 1 0 0 1 0 2 63 1 140 195 179 0.0
## 104 1 1 1 1 0 0 42 2 120 240 194 0.8
## 105 1 1 0 1 0 2 50 2 129 196 163 0.0
## 106 1 0 0 0 0 1 68 2 120 211 115 1.5
## 107 1 1 1 0 0 1 69 3 160 234 131 0.1
## 108 1 0 0 0 1 1 45 0 138 236 152 0.2
## 109 1 0 0 1 0 2 50 1 120 244 162 1.1
## 110 1 0 0 0 0 2 50 0 110 254 159 0.0
## 111 1 0 0 1 1 2 64 0 180 325 154 0.0
## 112 1 1 1 1 0 2 57 2 150 126 173 0.2
## 113 1 0 0 1 0 2 64 2 140 313 133 0.2
## 114 1 1 0 1 0 2 43 0 110 211 161 0.0
## 115 1 1 0 1 0 2 55 1 130 262 155 0.0
## 116 1 0 0 1 0 2 37 2 120 215 170 0.0
## 117 1 1 0 0 0 1 41 2 130 214 168 2.0
## 118 1 1 0 0 0 1 56 3 120 193 162 1.9
## 119 1 0 0 1 0 2 46 1 105 204 172 0.0
## 120 1 0 0 0 1 1 46 0 138 243 152 0.0
## 121 1 0 0 1 0 1 64 0 130 303 122 2.0
## 122 1 1 0 0 0 2 59 0 138 271 182 0.0
## 123 1 0 0 0 1 2 41 2 112 268 172 0.0
## 124 1 0 0 0 0 2 54 2 108 267 167 0.0
## 125 1 0 0 1 0 2 39 2 94 199 179 0.0
## 126 1 0 0 1 0 2 34 1 118 210 192 0.7
## 127 1 1 0 1 0 2 47 0 112 204 143 0.1
## 128 1 0 0 1 0 2 67 2 152 277 172 0.0
## 129 1 0 0 0 0 1 52 2 136 196 169 0.1
## 130 1 0 0 0 1 2 74 1 120 269 121 0.2
## 131 1 0 0 1 0 2 54 2 160 201 163 0.0
## 132 1 0 0 1 0 1 49 1 134 271 162 0.0
## 133 1 1 0 1 0 2 42 1 120 295 162 0.0
## 134 1 1 0 1 0 2 41 1 110 235 153 0.0
## 135 1 0 0 1 0 2 41 1 126 306 163 0.0
## 136 1 0 0 1 0 2 49 0 130 269 163 0.0
## 137 1 0 1 1 0 2 60 2 120 178 96 0.0
## 138 1 1 1 0 0 2 62 1 128 208 140 0.0
## 139 1 1 0 1 1 1 57 0 110 201 126 1.5
## 140 1 1 0 1 1 1 64 0 128 263 105 0.2
## 141 1 0 0 0 0 2 51 2 120 295 157 0.6
## 142 1 1 0 1 0 1 43 0 115 303 181 1.2
## 143 1 0 0 1 0 1 42 2 120 209 173 0.0
## 144 1 0 0 1 0 2 67 0 106 223 142 0.3
## 145 1 0 0 2 0 1 76 2 140 197 116 1.1
## 146 1 1 0 0 0 2 70 1 156 245 143 0.0
## 147 1 0 0 1 0 1 44 2 118 242 149 0.3
## 148 1 0 0 1 0 2 60 3 150 240 171 0.9
## 149 1 1 0 1 0 2 44 2 120 226 169 0.0
## 150 1 1 0 1 0 2 42 2 130 180 150 0.0
## 151 1 1 0 0 0 2 66 0 160 228 138 2.3
## 152 1 0 0 1 0 1 71 0 112 149 125 1.6
## 153 1 1 0 0 0 1 64 3 170 227 155 0.6
## 154 1 0 0 0 0 1 66 2 146 278 152 0.0
## 155 1 0 0 1 0 1 39 2 138 220 152 0.0
## 156 1 0 0 1 0 1 58 0 130 197 131 0.6
## 157 1 1 0 1 0 2 47 2 130 253 179 0.0
## 158 1 1 0 1 0 2 35 1 122 192 174 0.0
## 159 1 1 0 1 0 1 58 1 125 220 144 0.4
## 160 1 1 0 0 0 2 56 1 130 221 163 0.0
## 161 1 1 0 1 0 0 56 1 120 240 169 0.0
## 162 1 0 0 1 0 2 55 1 132 342 166 1.2
## 163 1 1 0 1 0 2 41 1 120 157 182 0.0
## 164 1 1 0 1 0 2 38 2 138 175 173 0.0
## 165 1 1 0 1 0 2 38 2 138 175 173 0.0
## 166 0 1 0 0 1 1 67 0 160 286 108 1.5
## 167 0 1 0 0 1 1 67 0 120 229 129 2.6
## 168 0 0 0 0 0 0 62 0 140 268 160 3.6
## 169 0 1 0 0 0 1 63 0 130 254 147 1.4
## 170 0 1 1 0 1 0 53 0 140 203 155 3.1
## 171 0 1 1 0 1 1 56 2 130 256 142 0.6
## 172 0 1 0 1 0 0 48 1 110 229 168 1.0
## 173 0 1 0 0 0 1 58 1 120 284 160 1.8
## 174 0 1 0 0 0 2 58 2 132 224 173 3.2
## 175 0 1 0 0 1 1 60 0 130 206 132 2.4
## 176 0 1 0 0 1 1 40 0 110 167 114 2.0
## 177 0 1 1 1 1 2 60 0 117 230 160 1.4
## 178 0 1 0 1 0 2 64 2 140 335 158 0.0
## 179 0 1 0 0 1 1 43 0 120 177 120 2.5
## 180 0 1 0 0 1 1 57 0 150 276 112 0.6
## 181 0 1 0 1 1 1 55 0 132 353 132 1.2
## 182 0 0 0 0 0 1 65 0 150 225 114 1.0
## 183 0 0 0 0 0 2 61 0 130 330 169 0.0
## 184 0 1 0 0 0 1 58 2 112 230 165 2.5
## 185 0 1 0 0 0 1 50 0 150 243 128 2.6
## 186 0 1 0 0 0 2 44 0 112 290 153 0.0
## 187 0 1 0 1 1 2 60 0 130 253 144 1.4
## 188 0 1 0 0 1 1 54 0 124 266 109 2.2
## 189 0 1 0 1 0 1 50 2 140 233 163 0.6
## 190 0 1 0 0 0 2 41 0 110 172 158 0.0
## 191 0 0 0 1 1 1 51 0 130 305 142 1.2
## 192 0 1 0 0 1 1 58 0 128 216 131 2.2
## 193 0 1 0 1 0 1 54 0 120 188 113 1.4
## 194 0 1 0 0 1 1 60 0 145 282 142 2.8
## 195 0 1 0 0 0 1 60 2 140 185 155 3.0
## 196 0 1 0 0 1 0 59 0 170 326 140 3.4
## 197 0 1 0 1 0 1 46 2 150 231 147 3.6
## 198 0 1 1 1 0 1 67 0 125 254 163 0.2
## 199 0 1 0 1 1 1 62 0 120 267 99 1.8
## 200 0 1 0 0 0 2 65 0 110 248 158 0.6
## 201 0 1 0 0 0 2 44 0 110 197 177 0.0
## 202 0 1 0 0 1 1 60 0 125 258 141 2.8
## 203 0 1 0 0 1 2 58 0 150 270 111 0.8
## 204 0 1 1 0 1 1 68 2 180 274 150 1.6
## 205 0 0 0 0 0 0 62 0 160 164 145 6.2
## 206 0 1 0 1 1 2 52 0 128 255 161 0.0
## 207 0 1 0 0 1 1 59 0 110 239 142 1.2
## 208 0 0 0 0 0 1 60 0 150 258 157 2.6
## 209 0 1 0 1 0 1 49 2 120 188 139 2.0
## 210 0 1 0 1 1 2 59 0 140 177 162 0.0
## 211 0 1 0 0 0 1 57 2 128 229 150 0.4
## 212 0 1 0 1 1 1 61 0 120 260 140 3.6
## 213 0 1 0 1 0 1 39 0 118 219 140 1.2
## 214 0 0 0 0 1 1 61 0 145 307 146 1.0
## 215 0 1 1 0 1 1 56 0 125 249 144 1.2
## 216 0 0 1 0 1 1 43 0 132 341 136 3.0
## 217 0 0 0 1 0 1 62 2 130 263 97 1.2
## 218 0 1 1 0 1 2 63 0 130 330 132 1.8
## 219 0 1 0 0 0 1 65 0 135 254 127 2.8
## 220 0 1 1 0 1 2 48 0 130 256 150 0.0
## 221 0 0 0 0 0 1 63 0 150 407 154 4.0
## 222 0 1 0 1 1 0 55 0 140 217 111 5.6
## 223 0 1 1 0 0 1 65 3 138 282 174 1.4
## 224 0 0 1 0 1 0 56 0 200 288 133 4.0
## 225 0 1 0 1 1 1 54 0 110 239 126 2.8
## 226 0 1 0 1 1 0 70 0 145 174 125 2.6
## 227 0 1 0 0 0 1 62 1 120 281 103 1.4
## 228 0 1 0 1 1 1 35 0 120 198 130 1.6
## 229 0 1 0 0 0 1 59 3 170 288 159 0.2
## 230 0 1 0 1 1 1 64 2 125 309 131 1.8
## 231 0 1 0 1 0 2 47 2 108 243 152 0.0
## 232 0 1 1 0 0 1 57 0 165 289 124 1.0
## 233 0 1 0 0 1 1 55 0 160 289 145 0.8
## 234 0 1 0 0 1 0 64 0 120 246 96 2.2
## 235 0 1 0 0 0 1 70 0 130 322 109 2.4
## 236 0 1 0 1 1 2 51 0 140 299 173 1.6
## 237 0 1 0 0 0 2 58 0 125 300 171 0.0
## 238 0 1 0 0 0 1 60 0 140 293 170 1.2
## 239 0 1 0 0 1 2 77 0 125 304 162 0.0
## 240 0 1 0 0 1 2 35 0 126 282 156 0.0
## 241 0 1 0 1 1 1 70 2 160 269 112 2.9
## 242 0 0 0 1 1 1 59 0 174 249 143 0.0
## 243 0 1 0 0 0 1 64 0 145 212 132 2.0
## 244 0 1 0 1 1 1 57 0 152 274 88 1.2
## 245 0 1 0 0 1 1 56 0 132 184 105 2.1
## 246 0 1 0 0 0 1 48 0 124 274 166 0.5
## 247 0 0 0 0 1 1 56 0 134 409 150 1.9
## 248 0 1 0 1 1 1 66 1 160 246 120 0.0
## 249 0 1 0 0 0 2 54 1 192 283 195 0.0
## 250 0 1 0 0 0 1 69 2 140 254 146 2.0
## 251 0 1 0 1 1 1 51 0 140 298 122 4.2
## 252 0 1 1 0 1 1 43 0 132 247 143 0.1
## 253 0 0 1 1 0 1 62 0 138 294 106 1.9
## 254 0 1 0 0 1 1 67 0 100 299 125 0.9
## 255 0 1 0 0 0 2 59 3 160 273 125 0.0
## 256 0 1 0 0 1 1 45 0 142 309 147 0.0
## 257 0 1 0 0 1 1 58 0 128 259 130 3.0
## 258 0 1 0 0 1 1 50 0 144 200 126 0.9
## 259 0 0 0 1 1 1 62 0 150 244 154 1.4
## 260 0 1 0 1 1 1 38 3 120 231 182 3.8
## 261 0 0 1 1 1 1 66 0 178 228 165 1.0
## 262 0 1 0 1 0 2 52 0 112 230 160 0.0
## 263 0 1 0 1 1 1 53 0 123 282 95 2.0
## 264 0 0 0 1 1 1 63 0 108 269 169 1.8
## 265 0 1 0 0 1 1 54 0 110 206 108 0.0
## 266 0 1 0 0 1 2 66 0 112 212 132 0.1
## 267 0 0 0 2 1 1 55 0 180 327 117 3.4
## 268 0 1 0 0 0 2 49 2 118 149 126 0.8
## 269 0 1 0 0 1 1 54 0 122 286 116 3.2
## 270 0 1 1 0 1 0 56 0 130 283 103 1.6
## 271 0 1 0 0 0 2 46 0 120 249 144 0.8
## 272 0 1 0 1 0 1 61 3 134 234 145 2.6
## 273 0 1 0 1 0 1 67 0 120 237 71 1.0
## 274 0 1 0 1 0 2 58 0 100 234 156 0.1
## 275 0 1 0 0 1 1 47 0 110 275 118 1.0
## 276 0 1 0 1 0 2 52 0 125 212 168 1.0
## 277 0 1 0 1 0 1 58 0 146 218 105 2.0
## 278 0 1 0 1 0 2 57 1 124 261 141 0.3
## 279 0 0 1 0 0 2 58 1 136 319 152 0.0
## 280 0 1 0 0 1 1 61 0 138 166 125 3.6
## 281 0 1 0 1 1 1 42 0 136 315 125 1.8
## 282 0 1 1 1 1 1 52 0 128 204 156 1.0
## 283 0 1 1 1 0 1 59 2 126 218 134 2.2
## 284 0 1 0 1 0 2 40 0 152 223 181 0.0
## 285 0 1 0 0 1 2 61 0 140 207 138 1.9
## 286 0 1 0 1 1 1 46 0 140 311 120 1.8
## 287 0 1 0 1 0 2 59 3 134 204 162 0.8
## 288 0 1 0 0 0 2 57 1 154 232 164 0.0
## 289 0 1 0 1 1 1 57 0 110 335 143 3.0
## 290 0 0 0 2 1 1 55 0 128 205 130 2.0
## 291 0 1 0 1 0 2 61 0 148 203 161 0.0
## 292 0 1 0 2 0 0 58 0 114 318 140 4.4
## 293 0 0 1 0 1 1 58 0 170 225 146 2.8
## 294 0 1 0 0 0 1 67 2 152 212 150 0.8
## 295 0 1 0 1 1 0 44 0 120 169 144 2.8
## 296 0 1 0 0 1 2 63 0 140 187 144 4.0
## 297 0 0 0 1 1 1 63 0 124 197 136 0.0
## 298 0 1 1 0 0 1 59 0 164 176 90 1.0
## 299 0 0 0 1 1 1 57 0 140 241 123 0.2
## 300 0 1 0 1 0 1 45 3 110 264 132 1.2
## 301 0 1 1 1 0 1 68 0 144 193 141 3.4
## 302 0 1 0 1 1 1 57 0 130 131 115 1.2
## 303 0 0 0 0 0 1 57 1 130 236 174 0.0
## ca thal Out_flag_trestbps Out_flag_chol Out_flag_thalach Out_flag_oldpeak
## 1 0 1 0 0 0 0
## 2 0 2 0 0 0 0
## 3 0 2 0 0 0 0
## 4 0 2 0 0 0 0
## 5 0 2 0 0 0 0
## 6 0 1 0 0 0 0
## 7 0 2 0 0 0 0
## 8 0 3 0 0 0 0
## 9 0 3 1 0 0 0
## 10 0 2 0 0 0 0
## 11 0 2 0 0 0 0
## 12 0 2 0 0 0 0
## 13 0 2 0 0 0 0
## 14 0 2 0 0 0 0
## 15 0 2 0 0 0 0
## 16 0 2 0 0 0 0
## 17 0 2 0 0 0 0
## 18 0 2 0 0 0 0
## 19 0 2 0 0 0 0
## 20 2 2 0 0 0 0
## 21 0 3 0 0 0 0
## 22 0 2 0 0 0 0
## 23 0 2 0 0 0 0
## 24 0 2 0 0 0 0
## 25 0 3 0 0 0 0
## 26 2 2 0 0 0 0
## 27 0 2 0 0 0 0
## 28 0 2 0 0 0 0
## 29 1 2 0 1 0 0
## 30 0 2 0 0 0 0
## 31 1 2 0 0 0 0
## 32 0 3 0 0 0 0
## 33 0 2 0 0 0 0
## 34 1 2 0 0 0 0
## 35 1 2 0 0 0 0
## 36 0 2 0 0 0 0
## 37 0 2 0 0 0 0
## 38 0 3 0 0 0 0
## 39 0 2 0 0 0 0
## 40 0 2 0 0 0 0
## 41 1 2 0 0 0 0
## 42 0 2 0 0 0 0
## 43 0 2 0 0 0 0
## 44 0 2 0 0 0 0
## 45 0 2 0 0 0 0
## 46 0 2 0 0 0 0
## 47 0 2 0 0 0 0
## 48 0 2 0 0 0 0
## 49 0 0 0 0 0 0
## 50 0 2 0 0 0 0
## 51 0 2 0 0 0 0
## 52 0 2 0 0 0 0
## 53 3 3 0 0 0 0
## 54 0 2 0 0 0 0
## 55 0 2 0 0 0 0
## 56 1 2 0 0 0 0
## 57 0 2 0 0 0 0
## 58 0 2 0 0 0 0
## 59 0 2 0 0 0 0
## 60 1 2 0 0 0 0
## 61 1 2 0 0 0 0
## 62 0 3 0 0 0 0
## 63 0 1 0 0 0 0
## 64 0 1 0 0 0 0
## 65 0 2 0 0 0 0
## 66 0 2 0 0 0 0
## 67 0 2 0 0 0 0
## 68 0 2 0 0 0 0
## 69 0 2 0 0 0 0
## 70 0 2 0 0 0 0
## 71 0 3 0 0 0 0
## 72 1 3 0 0 0 0
## 73 0 2 0 0 0 0
## 74 0 2 0 0 0 0
## 75 0 2 0 0 0 0
## 76 0 2 0 0 0 0
## 77 0 2 0 0 0 0
## 78 0 2 0 0 0 0
## 79 0 2 0 0 0 0
## 80 0 3 0 0 0 0
## 81 0 2 0 0 0 0
## 82 0 2 0 0 0 0
## 83 1 2 0 0 0 0
## 84 0 3 0 0 0 0
## 85 0 2 0 0 0 0
## 86 0 3 0 1 0 0
## 87 1 3 0 0 0 0
## 88 0 3 0 0 0 0
## 89 0 2 0 0 0 0
## 90 0 2 0 0 0 0
## 91 2 2 0 0 0 0
## 92 0 3 0 0 0 0
## 93 4 2 0 0 0 0
## 94 1 2 0 0 0 0
## 95 0 2 0 0 0 0
## 96 0 3 0 0 0 0
## 97 0 2 0 1 0 0
## 98 3 3 0 0 0 0
## 99 1 2 0 0 0 0
## 100 3 2 0 0 0 0
## 101 2 2 0 0 0 0
## 102 0 3 1 0 0 1
## 103 2 2 0 0 0 0
## 104 0 3 0 0 0 0
## 105 0 2 0 0 0 0
## 106 0 2 0 0 0 0
## 107 1 2 0 0 0 0
## 108 0 2 0 0 0 0
## 109 0 2 0 0 0 0
## 110 0 2 0 0 0 0
## 111 0 2 1 0 0 0
## 112 1 3 0 0 0 0
## 113 0 3 0 0 0 0
## 114 0 3 0 0 0 0
## 115 0 2 0 0 0 0
## 116 0 2 0 0 0 0
## 117 0 2 0 0 0 0
## 118 0 3 0 0 0 0
## 119 0 2 0 0 0 0
## 120 0 2 0 0 0 0
## 121 2 2 0 0 0 0
## 122 0 2 0 0 0 0
## 123 0 2 0 0 0 0
## 124 0 2 0 0 0 0
## 125 0 2 0 0 0 0
## 126 0 2 0 0 0 0
## 127 0 2 0 0 0 0
## 128 1 2 0 0 0 0
## 129 0 2 0 0 0 0
## 130 1 2 0 0 0 0
## 131 1 2 0 0 0 0
## 132 0 2 0 0 0 0
## 133 0 2 0 0 0 0
## 134 0 2 0 0 0 0
## 135 0 2 0 0 0 0
## 136 0 2 0 0 0 0
## 137 0 2 0 0 0 0
## 138 0 2 0 0 0 0
## 139 0 1 0 0 0 0
## 140 1 3 0 0 0 0
## 141 0 2 0 0 0 0
## 142 0 2 0 0 0 0
## 143 0 2 0 0 0 0
## 144 2 2 0 0 0 0
## 145 0 2 0 0 0 0
## 146 0 2 0 0 0 0
## 147 1 2 0 0 0 0
## 148 0 2 0 0 0 0
## 149 0 2 0 0 0 0
## 150 0 2 0 0 0 0
## 151 0 1 0 0 0 0
## 152 0 2 0 0 0 0
## 153 0 3 0 0 0 0
## 154 1 2 0 0 0 0
## 155 0 2 0 0 0 0
## 156 0 2 0 0 0 0
## 157 0 2 0 0 0 0
## 158 0 2 0 0 0 0
## 159 4 3 0 0 0 0
## 160 0 3 0 0 0 0
## 161 0 2 0 0 0 0
## 162 0 2 0 0 0 0
## 163 0 2 0 0 0 0
## 164 4 2 0 0 0 0
## 165 4 2 0 0 0 0
## 166 3 2 0 0 0 0
## 167 2 3 0 0 0 0
## 168 2 2 0 0 0 0
## 169 1 3 0 0 0 0
## 170 0 3 0 0 0 0
## 171 1 1 0 0 0 0
## 172 0 3 0 0 0 0
## 173 0 2 0 0 0 0
## 174 2 3 0 0 0 0
## 175 2 3 0 0 0 0
## 176 0 3 0 0 0 0
## 177 2 3 0 0 0 0
## 178 0 2 0 0 0 0
## 179 0 3 0 0 0 0
## 180 1 1 0 0 0 0
## 181 1 3 0 0 0 0
## 182 3 3 0 0 0 0
## 183 0 2 0 0 0 0
## 184 1 3 0 0 0 0
## 185 0 3 0 0 0 0
## 186 1 2 0 0 0 0
## 187 1 3 0 0 0 0
## 188 1 3 0 0 0 0
## 189 1 3 0 0 0 0
## 190 0 3 0 0 0 0
## 191 0 3 0 0 0 0
## 192 3 3 0 0 0 0
## 193 1 3 0 0 0 0
## 194 2 3 0 0 0 0
## 195 0 2 0 0 0 0
## 196 0 3 0 0 0 0
## 197 0 2 0 0 0 0
## 198 2 3 0 0 0 0
## 199 2 3 0 0 0 0
## 200 2 1 0 0 0 0
## 201 1 2 0 0 0 0
## 202 1 3 0 0 0 0
## 203 0 3 0 0 0 0
## 204 0 3 1 0 0 0
## 205 3 3 0 0 0 1
## 206 1 3 0 0 0 0
## 207 1 3 0 0 0 0
## 208 2 3 0 0 0 0
## 209 3 3 0 0 0 0
## 210 1 3 0 0 0 0
## 211 1 3 0 0 0 0
## 212 1 3 0 0 0 0
## 213 0 3 0 0 0 0
## 214 0 3 0 0 0 0
## 215 1 2 0 0 0 0
## 216 0 3 0 0 0 0
## 217 1 3 0 0 0 0
## 218 3 3 0 0 0 0
## 219 1 3 0 0 0 0
## 220 2 3 0 0 0 0
## 221 3 3 0 1 0 0
## 222 0 3 0 0 0 1
## 223 1 2 0 0 0 0
## 224 2 3 1 0 0 0
## 225 1 3 0 0 0 0
## 226 0 3 0 0 0 0
## 227 1 3 0 0 0 0
## 228 0 3 0 0 0 0
## 229 0 3 0 0 0 0
## 230 0 3 0 0 0 0
## 231 0 2 0 0 0 0
## 232 3 3 0 0 0 0
## 233 1 3 0 0 0 0
## 234 1 2 0 0 0 0
## 235 3 2 0 0 0 0
## 236 0 3 0 0 0 0
## 237 2 3 0 0 0 0
## 238 2 3 0 0 0 0
## 239 3 2 0 0 0 0
## 240 0 3 0 0 0 0
## 241 1 3 0 0 0 0
## 242 0 2 1 0 0 0
## 243 2 1 0 0 0 0
## 244 1 3 0 0 0 0
## 245 1 1 0 0 0 0
## 246 0 3 0 0 0 0
## 247 2 3 0 1 0 0
## 248 3 1 0 0 0 0
## 249 1 3 1 0 0 0
## 250 3 3 0 0 0 0
## 251 3 3 0 0 0 1
## 252 4 3 0 0 0 0
## 253 3 2 0 0 0 0
## 254 2 2 0 0 0 0
## 255 0 2 0 0 0 0
## 256 3 3 0 0 0 0
## 257 2 3 0 0 0 0
## 258 0 3 0 0 0 0
## 259 0 2 0 0 0 0
## 260 0 3 0 0 0 0
## 261 2 3 1 0 0 0
## 262 1 2 0 0 0 0
## 263 2 3 0 0 0 0
## 264 2 2 0 0 0 0
## 265 1 2 0 0 0 0
## 266 1 2 0 0 0 0
## 267 0 2 1 0 0 0
## 268 3 2 0 0 0 0
## 269 2 2 0 0 0 0
## 270 0 3 0 0 0 0
## 271 0 3 0 0 0 0
## 272 2 2 0 0 0 0
## 273 0 2 0 0 1 0
## 274 1 3 0 0 0 0
## 275 1 2 0 0 0 0
## 276 2 3 0 0 0 0
## 277 1 3 0 0 0 0
## 278 0 3 0 0 0 0
## 279 2 2 0 0 0 0
## 280 1 2 0 0 0 0
## 281 0 1 0 0 0 0
## 282 0 0 0 0 0 0
## 283 1 1 0 0 0 0
## 284 0 3 0 0 0 0
## 285 1 3 0 0 0 0
## 286 2 3 0 0 0 0
## 287 2 2 0 0 0 0
## 288 1 2 0 0 0 0
## 289 1 3 0 0 0 0
## 290 1 3 0 0 0 0
## 291 1 3 0 0 0 0
## 292 3 1 0 0 0 1
## 293 2 1 0 0 0 0
## 294 0 3 0 0 0 0
## 295 0 1 0 0 0 0
## 296 2 3 0 0 0 0
## 297 0 2 0 0 0 0
## 298 2 1 0 0 0 0
## 299 0 3 0 0 0 0
## 300 0 3 0 0 0 0
## 301 2 3 0 0 0 0
## 302 1 3 0 0 0 0
## 303 1 2 0 0 0 0
## Out_flag_ca Out_flag_thal Out_caping_age Out_caping_cp Out_caping_trestbps
## 1 0 0 63 3 145
## 2 0 0 37 2 130
## 3 0 0 41 1 130
## 4 0 0 56 1 120
## 5 0 0 57 0 120
## 6 0 0 57 0 140
## 7 0 0 56 1 140
## 8 0 0 44 1 120
## 9 0 0 52 2 152
## 10 0 0 57 2 150
## 11 0 0 54 0 140
## 12 0 0 48 2 130
## 13 0 0 49 1 130
## 14 0 0 64 3 110
## 15 0 0 58 3 150
## 16 0 0 50 2 120
## 17 0 0 58 2 120
## 18 0 0 66 3 150
## 19 0 0 43 0 150
## 20 0 0 69 3 140
## 21 0 0 59 0 135
## 22 0 0 44 2 130
## 23 0 0 42 0 140
## 24 0 0 61 2 150
## 25 0 0 40 3 140
## 26 0 0 71 1 160
## 27 0 0 59 2 150
## 28 0 0 51 2 110
## 29 0 0 65 2 140
## 30 0 0 53 2 130
## 31 0 0 41 1 105
## 32 0 0 65 0 120
## 33 0 0 44 1 130
## 34 0 0 54 2 125
## 35 0 0 51 3 125
## 36 0 0 46 2 142
## 37 0 0 54 2 135
## 38 0 0 54 2 150
## 39 0 0 65 2 155
## 40 0 0 65 2 160
## 41 0 0 51 2 140
## 42 0 0 48 1 130
## 43 0 0 45 0 104
## 44 0 0 53 0 130
## 45 0 0 39 2 140
## 46 0 0 52 1 120
## 47 0 0 44 2 140
## 48 0 0 47 2 138
## 49 0 1 53 2 128
## 50 0 0 53 0 138
## 51 0 0 51 2 130
## 52 0 0 66 0 120
## 53 1 0 62 2 130
## 54 0 0 44 2 108
## 55 0 0 63 2 135
## 56 0 0 52 1 134
## 57 0 0 48 0 122
## 58 0 0 45 0 115
## 59 0 0 34 3 118
## 60 0 0 57 0 128
## 61 0 0 71 2 110
## 62 0 0 54 1 108
## 63 0 0 52 3 118
## 64 0 0 41 1 135
## 65 0 0 58 2 140
## 66 0 0 35 0 138
## 67 0 0 51 2 100
## 68 0 0 45 1 130
## 69 0 0 44 1 120
## 70 0 0 62 0 124
## 71 0 0 54 2 120
## 72 0 0 51 2 94
## 73 0 0 29 1 130
## 74 0 0 51 0 140
## 75 0 0 43 2 122
## 76 0 0 55 1 135
## 77 0 0 51 2 125
## 78 0 0 59 1 140
## 79 0 0 52 1 128
## 80 0 0 58 2 105
## 81 0 0 41 2 112
## 82 0 0 45 1 128
## 83 0 0 60 2 102
## 84 0 0 52 3 152
## 85 0 0 42 0 102
## 86 0 0 67 2 115
## 87 0 0 68 2 118
## 88 0 0 46 1 101
## 89 0 0 54 2 110
## 90 0 0 58 0 100
## 91 0 0 48 2 124
## 92 0 0 57 0 132
## 93 1 0 52 2 138
## 94 0 0 54 1 132
## 95 0 0 45 1 112
## 96 0 0 53 0 142
## 97 0 0 62 0 140
## 98 1 0 52 0 108
## 99 0 0 43 2 130
## 100 1 0 53 2 130
## 101 0 0 42 3 148
## 102 0 0 59 3 152
## 103 0 0 63 1 140
## 104 0 0 42 2 120
## 105 0 0 50 2 129
## 106 0 0 68 2 120
## 107 0 0 69 3 160
## 108 0 0 45 0 138
## 109 0 0 50 1 120
## 110 0 0 50 0 110
## 111 0 0 64 0 152
## 112 0 0 57 2 150
## 113 0 0 64 2 140
## 114 0 0 43 0 110
## 115 0 0 55 1 130
## 116 0 0 37 2 120
## 117 0 0 41 2 130
## 118 0 0 56 3 120
## 119 0 0 46 1 105
## 120 0 0 46 0 138
## 121 0 0 64 0 130
## 122 0 0 59 0 138
## 123 0 0 41 2 112
## 124 0 0 54 2 108
## 125 0 0 39 2 94
## 126 0 0 34 1 118
## 127 0 0 47 0 112
## 128 0 0 67 2 152
## 129 0 0 52 2 136
## 130 0 0 74 1 120
## 131 0 0 54 2 160
## 132 0 0 49 1 134
## 133 0 0 42 1 120
## 134 0 0 41 1 110
## 135 0 0 41 1 126
## 136 0 0 49 0 130
## 137 0 0 60 2 120
## 138 0 0 62 1 128
## 139 0 0 57 0 110
## 140 0 0 64 0 128
## 141 0 0 51 2 120
## 142 0 0 43 0 115
## 143 0 0 42 2 120
## 144 0 0 67 0 106
## 145 0 0 76 2 140
## 146 0 0 70 1 156
## 147 0 0 44 2 118
## 148 0 0 60 3 150
## 149 0 0 44 2 120
## 150 0 0 42 2 130
## 151 0 0 66 0 160
## 152 0 0 71 0 112
## 153 0 0 64 3 170
## 154 0 0 66 2 146
## 155 0 0 39 2 138
## 156 0 0 58 0 130
## 157 0 0 47 2 130
## 158 0 0 35 1 122
## 159 1 0 58 1 125
## 160 0 0 56 1 130
## 161 0 0 56 1 120
## 162 0 0 55 1 132
## 163 0 0 41 1 120
## 164 1 0 38 2 138
## 165 1 0 38 2 138
## 166 1 0 67 0 160
## 167 0 0 67 0 120
## 168 0 0 62 0 140
## 169 0 0 63 0 130
## 170 0 0 53 0 140
## 171 0 0 56 2 130
## 172 0 0 48 1 110
## 173 0 0 58 1 120
## 174 0 0 58 2 132
## 175 0 0 60 0 130
## 176 0 0 40 0 110
## 177 0 0 60 0 117
## 178 0 0 64 2 140
## 179 0 0 43 0 120
## 180 0 0 57 0 150
## 181 0 0 55 0 132
## 182 1 0 65 0 150
## 183 0 0 61 0 130
## 184 0 0 58 2 112
## 185 0 0 50 0 150
## 186 0 0 44 0 112
## 187 0 0 60 0 130
## 188 0 0 54 0 124
## 189 0 0 50 2 140
## 190 0 0 41 0 110
## 191 0 0 51 0 130
## 192 1 0 58 0 128
## 193 0 0 54 0 120
## 194 0 0 60 0 145
## 195 0 0 60 2 140
## 196 0 0 59 0 170
## 197 0 0 46 2 150
## 198 0 0 67 0 125
## 199 0 0 62 0 120
## 200 0 0 65 0 110
## 201 0 0 44 0 110
## 202 0 0 60 0 125
## 203 0 0 58 0 150
## 204 0 0 68 2 152
## 205 1 0 62 0 160
## 206 0 0 52 0 128
## 207 0 0 59 0 110
## 208 0 0 60 0 150
## 209 1 0 49 2 120
## 210 0 0 59 0 140
## 211 0 0 57 2 128
## 212 0 0 61 0 120
## 213 0 0 39 0 118
## 214 0 0 61 0 145
## 215 0 0 56 0 125
## 216 0 0 43 0 132
## 217 0 0 62 2 130
## 218 1 0 63 0 130
## 219 0 0 65 0 135
## 220 0 0 48 0 130
## 221 1 0 63 0 150
## 222 0 0 55 0 140
## 223 0 0 65 3 138
## 224 0 0 56 0 152
## 225 0 0 54 0 110
## 226 0 0 70 0 145
## 227 0 0 62 1 120
## 228 0 0 35 0 120
## 229 0 0 59 3 170
## 230 0 0 64 2 125
## 231 0 0 47 2 108
## 232 1 0 57 0 165
## 233 0 0 55 0 160
## 234 0 0 64 0 120
## 235 1 0 70 0 130
## 236 0 0 51 0 140
## 237 0 0 58 0 125
## 238 0 0 60 0 140
## 239 1 0 77 0 125
## 240 0 0 35 0 126
## 241 0 0 70 2 160
## 242 0 0 59 0 152
## 243 0 0 64 0 145
## 244 0 0 57 0 152
## 245 0 0 56 0 132
## 246 0 0 48 0 124
## 247 0 0 56 0 134
## 248 1 0 66 1 160
## 249 0 0 54 1 152
## 250 1 0 69 2 140
## 251 1 0 51 0 140
## 252 1 0 43 0 132
## 253 1 0 62 0 138
## 254 0 0 67 0 100
## 255 0 0 59 3 160
## 256 1 0 45 0 142
## 257 0 0 58 0 128
## 258 0 0 50 0 144
## 259 0 0 62 0 150
## 260 0 0 38 3 120
## 261 0 0 66 0 152
## 262 0 0 52 0 112
## 263 0 0 53 0 123
## 264 0 0 63 0 108
## 265 0 0 54 0 110
## 266 0 0 66 0 112
## 267 0 0 55 0 152
## 268 1 0 49 2 118
## 269 0 0 54 0 122
## 270 0 0 56 0 130
## 271 0 0 46 0 120
## 272 0 0 61 3 134
## 273 0 0 67 0 120
## 274 0 0 58 0 100
## 275 0 0 47 0 110
## 276 0 0 52 0 125
## 277 0 0 58 0 146
## 278 0 0 57 1 124
## 279 0 0 58 1 136
## 280 0 0 61 0 138
## 281 0 0 42 0 136
## 282 0 1 52 0 128
## 283 0 0 59 2 126
## 284 0 0 40 0 152
## 285 0 0 61 0 140
## 286 0 0 46 0 140
## 287 0 0 59 3 134
## 288 0 0 57 1 154
## 289 0 0 57 0 110
## 290 0 0 55 0 128
## 291 0 0 61 0 148
## 292 1 0 58 0 114
## 293 0 0 58 0 170
## 294 0 0 67 2 152
## 295 0 0 44 0 120
## 296 0 0 63 0 140
## 297 0 0 63 0 124
## 298 0 0 59 0 164
## 299 0 0 57 0 140
## 300 0 0 45 3 110
## 301 0 0 68 0 144
## 302 0 0 57 0 130
## 303 0 0 57 1 130
## Out_caping_chol Out_caping_thalach Out_caping_oldpeak Out_caping_ca
## 1 233.0 150 2.3 0
## 2 250.0 187 3.5 0
## 3 204.0 172 1.4 0
## 4 236.0 178 0.8 0
## 5 354.0 163 0.6 0
## 6 192.0 148 0.4 0
## 7 294.0 153 1.3 0
## 8 263.0 173 0.0 0
## 9 199.0 162 0.5 0
## 10 168.0 174 1.6 0
## 11 239.0 160 1.2 0
## 12 275.0 139 0.2 0
## 13 266.0 171 0.6 0
## 14 211.0 144 1.8 0
## 15 283.0 162 1.0 0
## 16 219.0 158 1.6 0
## 17 340.0 172 0.0 0
## 18 226.0 114 2.6 0
## 19 247.0 171 1.5 0
## 20 239.0 151 1.8 2
## 21 234.0 161 0.5 0
## 22 233.0 179 0.4 0
## 23 226.0 178 0.0 0
## 24 243.0 137 1.0 0
## 25 199.0 178 1.4 0
## 26 302.0 162 0.4 2
## 27 212.0 157 1.6 0
## 28 175.0 123 0.6 0
## 29 308.8 157 0.8 1
## 30 197.0 152 1.2 0
## 31 198.0 168 0.0 1
## 32 177.0 140 0.4 0
## 33 219.0 188 0.0 0
## 34 273.0 152 0.5 1
## 35 213.0 125 1.4 1
## 36 177.0 160 1.4 0
## 37 304.0 170 0.0 0
## 38 232.0 165 1.6 0
## 39 269.0 148 0.8 0
## 40 360.0 151 0.8 0
## 41 308.0 142 1.5 1
## 42 245.0 180 0.2 0
## 43 208.0 148 3.0 0
## 44 264.0 143 0.4 0
## 45 321.0 182 0.0 0
## 46 325.0 172 0.2 0
## 47 235.0 180 0.0 0
## 48 257.0 156 0.0 0
## 49 216.0 115 0.0 0
## 50 234.0 160 0.0 0
## 51 256.0 149 0.5 0
## 52 302.0 151 0.4 0
## 53 231.0 146 1.8 2
## 54 141.0 175 0.6 0
## 55 252.0 172 0.0 0
## 56 201.0 158 0.8 1
## 57 222.0 186 0.0 0
## 58 260.0 185 0.0 0
## 59 182.0 174 0.0 0
## 60 303.0 159 0.0 1
## 61 265.0 130 0.0 1
## 62 309.0 156 0.0 0
## 63 186.0 190 0.0 0
## 64 203.0 132 0.0 0
## 65 211.0 165 0.0 0
## 66 183.0 182 1.4 0
## 67 222.0 143 1.2 0
## 68 234.0 175 0.6 0
## 69 220.0 170 0.0 0
## 70 209.0 163 0.0 0
## 71 258.0 147 0.4 0
## 72 227.0 154 0.0 1
## 73 204.0 202 0.0 0
## 74 261.0 186 0.0 0
## 75 213.0 165 0.2 0
## 76 250.0 161 1.4 0
## 77 245.0 166 2.4 0
## 78 221.0 164 0.0 0
## 79 205.0 184 0.0 0
## 80 240.0 154 0.6 0
## 81 250.0 179 0.0 0
## 82 308.0 170 0.0 0
## 83 318.0 160 0.0 1
## 84 298.0 178 1.2 0
## 85 265.0 122 0.6 0
## 86 308.8 160 1.6 0
## 87 277.0 151 1.0 1
## 88 197.0 156 0.0 0
## 89 214.0 158 1.6 0
## 90 248.0 122 1.0 0
## 91 255.0 175 0.0 2
## 92 207.0 168 0.0 0
## 93 223.0 169 0.0 2
## 94 288.0 159 0.0 1
## 95 160.0 138 0.0 0
## 96 226.0 111 0.0 0
## 97 308.8 157 1.2 0
## 98 233.0 147 0.1 2
## 99 315.0 162 1.9 1
## 100 246.0 173 0.0 2
## 101 244.0 178 0.8 2
## 102 270.0 145 2.8 0
## 103 195.0 179 0.0 2
## 104 240.0 194 0.8 0
## 105 196.0 163 0.0 0
## 106 211.0 115 1.5 0
## 107 234.0 131 0.1 1
## 108 236.0 152 0.2 0
## 109 244.0 162 1.1 0
## 110 254.0 159 0.0 0
## 111 325.0 154 0.0 0
## 112 126.0 173 0.2 1
## 113 313.0 133 0.2 0
## 114 211.0 161 0.0 0
## 115 262.0 155 0.0 0
## 116 215.0 170 0.0 0
## 117 214.0 168 2.0 0
## 118 193.0 162 1.9 0
## 119 204.0 172 0.0 0
## 120 243.0 152 0.0 0
## 121 303.0 122 2.0 2
## 122 271.0 182 0.0 0
## 123 268.0 172 0.0 0
## 124 267.0 167 0.0 0
## 125 199.0 179 0.0 0
## 126 210.0 192 0.7 0
## 127 204.0 143 0.1 0
## 128 277.0 172 0.0 1
## 129 196.0 169 0.1 0
## 130 269.0 121 0.2 1
## 131 201.0 163 0.0 1
## 132 271.0 162 0.0 0
## 133 295.0 162 0.0 0
## 134 235.0 153 0.0 0
## 135 306.0 163 0.0 0
## 136 269.0 163 0.0 0
## 137 178.0 96 0.0 0
## 138 208.0 140 0.0 0
## 139 201.0 126 1.5 0
## 140 263.0 105 0.2 1
## 141 295.0 157 0.6 0
## 142 303.0 181 1.2 0
## 143 209.0 173 0.0 0
## 144 223.0 142 0.3 2
## 145 197.0 116 1.1 0
## 146 245.0 143 0.0 0
## 147 242.0 149 0.3 1
## 148 240.0 171 0.9 0
## 149 226.0 169 0.0 0
## 150 180.0 150 0.0 0
## 151 228.0 138 2.3 0
## 152 149.0 125 1.6 0
## 153 227.0 155 0.6 0
## 154 278.0 152 0.0 1
## 155 220.0 152 0.0 0
## 156 197.0 131 0.6 0
## 157 253.0 179 0.0 0
## 158 192.0 174 0.0 0
## 159 220.0 144 0.4 2
## 160 221.0 163 0.0 0
## 161 240.0 169 0.0 0
## 162 342.0 166 1.2 0
## 163 157.0 182 0.0 0
## 164 175.0 173 0.0 2
## 165 175.0 173 0.0 2
## 166 286.0 108 1.5 2
## 167 229.0 129 2.6 2
## 168 268.0 160 3.6 2
## 169 254.0 147 1.4 1
## 170 203.0 155 3.1 0
## 171 256.0 142 0.6 1
## 172 229.0 168 1.0 0
## 173 284.0 160 1.8 0
## 174 224.0 173 3.2 2
## 175 206.0 132 2.4 2
## 176 167.0 114 2.0 0
## 177 230.0 160 1.4 2
## 178 335.0 158 0.0 0
## 179 177.0 120 2.5 0
## 180 276.0 112 0.6 1
## 181 353.0 132 1.2 1
## 182 225.0 114 1.0 2
## 183 330.0 169 0.0 0
## 184 230.0 165 2.5 1
## 185 243.0 128 2.6 0
## 186 290.0 153 0.0 1
## 187 253.0 144 1.4 1
## 188 266.0 109 2.2 1
## 189 233.0 163 0.6 1
## 190 172.0 158 0.0 0
## 191 305.0 142 1.2 0
## 192 216.0 131 2.2 2
## 193 188.0 113 1.4 1
## 194 282.0 142 2.8 2
## 195 185.0 155 3.0 0
## 196 326.0 140 3.4 0
## 197 231.0 147 3.6 0
## 198 254.0 163 0.2 2
## 199 267.0 99 1.8 2
## 200 248.0 158 0.6 2
## 201 197.0 177 0.0 1
## 202 258.0 141 2.8 1
## 203 270.0 111 0.8 0
## 204 274.0 150 1.6 0
## 205 164.0 145 2.8 2
## 206 255.0 161 0.0 1
## 207 239.0 142 1.2 1
## 208 258.0 157 2.6 2
## 209 188.0 139 2.0 2
## 210 177.0 162 0.0 1
## 211 229.0 150 0.4 1
## 212 260.0 140 3.6 1
## 213 219.0 140 1.2 0
## 214 307.0 146 1.0 0
## 215 249.0 144 1.2 1
## 216 341.0 136 3.0 0
## 217 263.0 97 1.2 1
## 218 330.0 132 1.8 2
## 219 254.0 127 2.8 1
## 220 256.0 150 0.0 2
## 221 308.8 154 4.0 2
## 222 217.0 111 2.8 0
## 223 282.0 174 1.4 1
## 224 288.0 133 4.0 2
## 225 239.0 126 2.8 1
## 226 174.0 125 2.6 0
## 227 281.0 103 1.4 1
## 228 198.0 130 1.6 0
## 229 288.0 159 0.2 0
## 230 309.0 131 1.8 0
## 231 243.0 152 0.0 0
## 232 289.0 124 1.0 2
## 233 289.0 145 0.8 1
## 234 246.0 96 2.2 1
## 235 322.0 109 2.4 2
## 236 299.0 173 1.6 0
## 237 300.0 171 0.0 2
## 238 293.0 170 1.2 2
## 239 304.0 162 0.0 2
## 240 282.0 156 0.0 0
## 241 269.0 112 2.9 1
## 242 249.0 143 0.0 0
## 243 212.0 132 2.0 2
## 244 274.0 88 1.2 1
## 245 184.0 105 2.1 1
## 246 274.0 166 0.5 0
## 247 308.8 150 1.9 2
## 248 246.0 120 0.0 2
## 249 283.0 195 0.0 1
## 250 254.0 146 2.0 2
## 251 298.0 122 2.8 2
## 252 247.0 143 0.1 2
## 253 294.0 106 1.9 2
## 254 299.0 125 0.9 2
## 255 273.0 125 0.0 0
## 256 309.0 147 0.0 2
## 257 259.0 130 3.0 2
## 258 200.0 126 0.9 0
## 259 244.0 154 1.4 0
## 260 231.0 182 3.8 0
## 261 228.0 165 1.0 2
## 262 230.0 160 0.0 1
## 263 282.0 95 2.0 2
## 264 269.0 169 1.8 2
## 265 206.0 108 0.0 1
## 266 212.0 132 0.1 1
## 267 327.0 117 3.4 0
## 268 149.0 126 0.8 2
## 269 286.0 116 3.2 2
## 270 283.0 103 1.6 0
## 271 249.0 144 0.8 0
## 272 234.0 145 2.6 2
## 273 237.0 116 1.0 0
## 274 234.0 156 0.1 1
## 275 275.0 118 1.0 1
## 276 212.0 168 1.0 2
## 277 218.0 105 2.0 1
## 278 261.0 141 0.3 0
## 279 319.0 152 0.0 2
## 280 166.0 125 3.6 1
## 281 315.0 125 1.8 0
## 282 204.0 156 1.0 0
## 283 218.0 134 2.2 1
## 284 223.0 181 0.0 0
## 285 207.0 138 1.9 1
## 286 311.0 120 1.8 2
## 287 204.0 162 0.8 2
## 288 232.0 164 0.0 1
## 289 335.0 143 3.0 1
## 290 205.0 130 2.0 1
## 291 203.0 161 0.0 1
## 292 318.0 140 2.8 2
## 293 225.0 146 2.8 2
## 294 212.0 150 0.8 0
## 295 169.0 144 2.8 0
## 296 187.0 144 4.0 2
## 297 197.0 136 0.0 0
## 298 176.0 90 1.0 2
## 299 241.0 123 0.2 0
## 300 264.0 132 1.2 0
## 301 193.0 141 3.4 2
## 302 131.0 115 1.2 1
## 303 236.0 174 0.0 1
## Out_caping_thal
## 1 1
## 2 2
## 3 2
## 4 2
## 5 2
## 6 1
## 7 2
## 8 3
## 9 3
## 10 2
## 11 2
## 12 2
## 13 2
## 14 2
## 15 2
## 16 2
## 17 2
## 18 2
## 19 2
## 20 2
## 21 3
## 22 2
## 23 2
## 24 2
## 25 3
## 26 2
## 27 2
## 28 2
## 29 2
## 30 2
## 31 2
## 32 3
## 33 2
## 34 2
## 35 2
## 36 2
## 37 2
## 38 3
## 39 2
## 40 2
## 41 2
## 42 2
## 43 2
## 44 2
## 45 2
## 46 2
## 47 2
## 48 2
## 49 2
## 50 2
## 51 2
## 52 2
## 53 3
## 54 2
## 55 2
## 56 2
## 57 2
## 58 2
## 59 2
## 60 2
## 61 2
## 62 3
## 63 1
## 64 1
## 65 2
## 66 2
## 67 2
## 68 2
## 69 2
## 70 2
## 71 3
## 72 3
## 73 2
## 74 2
## 75 2
## 76 2
## 77 2
## 78 2
## 79 2
## 80 3
## 81 2
## 82 2
## 83 2
## 84 3
## 85 2
## 86 3
## 87 3
## 88 3
## 89 2
## 90 2
## 91 2
## 92 3
## 93 2
## 94 2
## 95 2
## 96 3
## 97 2
## 98 3
## 99 2
## 100 2
## 101 2
## 102 3
## 103 2
## 104 3
## 105 2
## 106 2
## 107 2
## 108 2
## 109 2
## 110 2
## 111 2
## 112 3
## 113 3
## 114 3
## 115 2
## 116 2
## 117 2
## 118 3
## 119 2
## 120 2
## 121 2
## 122 2
## 123 2
## 124 2
## 125 2
## 126 2
## 127 2
## 128 2
## 129 2
## 130 2
## 131 2
## 132 2
## 133 2
## 134 2
## 135 2
## 136 2
## 137 2
## 138 2
## 139 1
## 140 3
## 141 2
## 142 2
## 143 2
## 144 2
## 145 2
## 146 2
## 147 2
## 148 2
## 149 2
## 150 2
## 151 1
## 152 2
## 153 3
## 154 2
## 155 2
## 156 2
## 157 2
## 158 2
## 159 3
## 160 3
## 161 2
## 162 2
## 163 2
## 164 2
## 165 2
## 166 2
## 167 3
## 168 2
## 169 3
## 170 3
## 171 1
## 172 3
## 173 2
## 174 3
## 175 3
## 176 3
## 177 3
## 178 2
## 179 3
## 180 1
## 181 3
## 182 3
## 183 2
## 184 3
## 185 3
## 186 2
## 187 3
## 188 3
## 189 3
## 190 3
## 191 3
## 192 3
## 193 3
## 194 3
## 195 2
## 196 3
## 197 2
## 198 3
## 199 3
## 200 1
## 201 2
## 202 3
## 203 3
## 204 3
## 205 3
## 206 3
## 207 3
## 208 3
## 209 3
## 210 3
## 211 3
## 212 3
## 213 3
## 214 3
## 215 2
## 216 3
## 217 3
## 218 3
## 219 3
## 220 3
## 221 3
## 222 3
## 223 2
## 224 3
## 225 3
## 226 3
## 227 3
## 228 3
## 229 3
## 230 3
## 231 2
## 232 3
## 233 3
## 234 2
## 235 2
## 236 3
## 237 3
## 238 3
## 239 2
## 240 3
## 241 3
## 242 2
## 243 1
## 244 3
## 245 1
## 246 3
## 247 3
## 248 1
## 249 3
## 250 3
## 251 3
## 252 3
## 253 2
## 254 2
## 255 2
## 256 3
## 257 3
## 258 3
## 259 2
## 260 3
## 261 3
## 262 2
## 263 3
## 264 2
## 265 2
## 266 2
## 267 2
## 268 2
## 269 2
## 270 3
## 271 3
## 272 2
## 273 2
## 274 3
## 275 2
## 276 3
## 277 3
## 278 3
## 279 2
## 280 2
## 281 1
## 282 2
## 283 1
## 284 3
## 285 3
## 286 3
## 287 2
## 288 2
## 289 3
## 290 3
## 291 3
## 292 1
## 293 1
## 294 3
## 295 1
## 296 3
## 297 2
## 298 1
## 299 3
## 300 3
## 301 3
## 302 3
## 303 2
##
## $master_data
## target_var cp Out_caping_thalach Out_caping_oldpeak Out_caping_ca oldpeak
## 1 1 3 150 2.3 0 2.3
## 2 1 2 187 3.5 0 3.5
## 3 1 1 172 1.4 0 1.4
## 4 1 1 178 0.8 0 0.8
## 5 1 0 163 0.6 0 0.6
## 6 1 0 148 0.4 0 0.4
## 7 1 1 153 1.3 0 1.3
## 8 1 1 173 0.0 0 0.0
## 9 1 2 162 0.5 0 0.5
## 10 1 2 174 1.6 0 1.6
## 11 1 0 160 1.2 0 1.2
## 12 1 2 139 0.2 0 0.2
## 13 1 1 171 0.6 0 0.6
## 14 1 3 144 1.8 0 1.8
## 15 1 3 162 1.0 0 1.0
## 16 1 2 158 1.6 0 1.6
## 17 1 2 172 0.0 0 0.0
## 18 1 3 114 2.6 0 2.6
## 19 1 0 171 1.5 0 1.5
## 20 1 3 151 1.8 2 1.8
## 21 1 0 161 0.5 0 0.5
## 22 1 2 179 0.4 0 0.4
## 23 1 0 178 0.0 0 0.0
## 24 1 2 137 1.0 0 1.0
## 25 1 3 178 1.4 0 1.4
## 26 1 1 162 0.4 2 0.4
## 27 1 2 157 1.6 0 1.6
## 28 1 2 123 0.6 0 0.6
## 29 1 2 157 0.8 1 0.8
## 30 1 2 152 1.2 0 1.2
## 31 1 1 168 0.0 1 0.0
## 32 1 0 140 0.4 0 0.4
## 33 1 1 188 0.0 0 0.0
## 34 1 2 152 0.5 1 0.5
## 35 1 3 125 1.4 1 1.4
## 36 1 2 160 1.4 0 1.4
## 37 1 2 170 0.0 0 0.0
## 38 1 2 165 1.6 0 1.6
## 39 1 2 148 0.8 0 0.8
## 40 1 2 151 0.8 0 0.8
## 41 1 2 142 1.5 1 1.5
## 42 1 1 180 0.2 0 0.2
## 43 1 0 148 3.0 0 3.0
## 44 1 0 143 0.4 0 0.4
## 45 1 2 182 0.0 0 0.0
## 46 1 1 172 0.2 0 0.2
## 47 1 2 180 0.0 0 0.0
## 48 1 2 156 0.0 0 0.0
## 49 1 2 115 0.0 0 0.0
## 50 1 0 160 0.0 0 0.0
## 51 1 2 149 0.5 0 0.5
## 52 1 0 151 0.4 0 0.4
## 53 1 2 146 1.8 2 1.8
## 54 1 2 175 0.6 0 0.6
## 55 1 2 172 0.0 0 0.0
## 56 1 1 158 0.8 1 0.8
## 57 1 0 186 0.0 0 0.0
## 58 1 0 185 0.0 0 0.0
## 59 1 3 174 0.0 0 0.0
## 60 1 0 159 0.0 1 0.0
## 61 1 2 130 0.0 1 0.0
## 62 1 1 156 0.0 0 0.0
## 63 1 3 190 0.0 0 0.0
## 64 1 1 132 0.0 0 0.0
## 65 1 2 165 0.0 0 0.0
## 66 1 0 182 1.4 0 1.4
## 67 1 2 143 1.2 0 1.2
## 68 1 1 175 0.6 0 0.6
## 69 1 1 170 0.0 0 0.0
## 70 1 0 163 0.0 0 0.0
## 71 1 2 147 0.4 0 0.4
## 72 1 2 154 0.0 1 0.0
## 73 1 1 202 0.0 0 0.0
## 74 1 0 186 0.0 0 0.0
## 75 1 2 165 0.2 0 0.2
## 76 1 1 161 1.4 0 1.4
## 77 1 2 166 2.4 0 2.4
## 78 1 1 164 0.0 0 0.0
## 79 1 1 184 0.0 0 0.0
## 80 1 2 154 0.6 0 0.6
## 81 1 2 179 0.0 0 0.0
## 82 1 1 170 0.0 0 0.0
## 83 1 2 160 0.0 1 0.0
## 84 1 3 178 1.2 0 1.2
## 85 1 0 122 0.6 0 0.6
## 86 1 2 160 1.6 0 1.6
## 87 1 2 151 1.0 1 1.0
## 88 1 1 156 0.0 0 0.0
## 89 1 2 158 1.6 0 1.6
## 90 1 0 122 1.0 0 1.0
## 91 1 2 175 0.0 2 0.0
## 92 1 0 168 0.0 0 0.0
## 93 1 2 169 0.0 2 0.0
## 94 1 1 159 0.0 1 0.0
## 95 1 1 138 0.0 0 0.0
## 96 1 0 111 0.0 0 0.0
## 97 1 0 157 1.2 0 1.2
## 98 1 0 147 0.1 2 0.1
## 99 1 2 162 1.9 1 1.9
## 100 1 2 173 0.0 2 0.0
## 101 1 3 178 0.8 2 0.8
## 102 1 3 145 2.8 0 4.2
## 103 1 1 179 0.0 2 0.0
## 104 1 2 194 0.8 0 0.8
## 105 1 2 163 0.0 0 0.0
## 106 1 2 115 1.5 0 1.5
## 107 1 3 131 0.1 1 0.1
## 108 1 0 152 0.2 0 0.2
## 109 1 1 162 1.1 0 1.1
## 110 1 0 159 0.0 0 0.0
## 111 1 0 154 0.0 0 0.0
## 112 1 2 173 0.2 1 0.2
## 113 1 2 133 0.2 0 0.2
## 114 1 0 161 0.0 0 0.0
## 115 1 1 155 0.0 0 0.0
## 116 1 2 170 0.0 0 0.0
## 117 1 2 168 2.0 0 2.0
## 118 1 3 162 1.9 0 1.9
## 119 1 1 172 0.0 0 0.0
## 120 1 0 152 0.0 0 0.0
## 121 1 0 122 2.0 2 2.0
## 122 1 0 182 0.0 0 0.0
## 123 1 2 172 0.0 0 0.0
## 124 1 2 167 0.0 0 0.0
## 125 1 2 179 0.0 0 0.0
## 126 1 1 192 0.7 0 0.7
## 127 1 0 143 0.1 0 0.1
## 128 1 2 172 0.0 1 0.0
## 129 1 2 169 0.1 0 0.1
## 130 1 1 121 0.2 1 0.2
## 131 1 2 163 0.0 1 0.0
## 132 1 1 162 0.0 0 0.0
## 133 1 1 162 0.0 0 0.0
## 134 1 1 153 0.0 0 0.0
## 135 1 1 163 0.0 0 0.0
## 136 1 0 163 0.0 0 0.0
## 137 1 2 96 0.0 0 0.0
## 138 1 1 140 0.0 0 0.0
## 139 1 0 126 1.5 0 1.5
## 140 1 0 105 0.2 1 0.2
## 141 1 2 157 0.6 0 0.6
## 142 1 0 181 1.2 0 1.2
## 143 1 2 173 0.0 0 0.0
## 144 1 0 142 0.3 2 0.3
## 145 1 2 116 1.1 0 1.1
## 146 1 1 143 0.0 0 0.0
## 147 1 2 149 0.3 1 0.3
## 148 1 3 171 0.9 0 0.9
## 149 1 2 169 0.0 0 0.0
## 150 1 2 150 0.0 0 0.0
## 151 1 0 138 2.3 0 2.3
## 152 1 0 125 1.6 0 1.6
## 153 1 3 155 0.6 0 0.6
## 154 1 2 152 0.0 1 0.0
## 155 1 2 152 0.0 0 0.0
## 156 1 0 131 0.6 0 0.6
## 157 1 2 179 0.0 0 0.0
## 158 1 1 174 0.0 0 0.0
## 159 1 1 144 0.4 2 0.4
## 160 1 1 163 0.0 0 0.0
## 161 1 1 169 0.0 0 0.0
## 162 1 1 166 1.2 0 1.2
## 163 1 1 182 0.0 0 0.0
## 164 1 2 173 0.0 2 0.0
## 165 1 2 173 0.0 2 0.0
## 166 0 0 108 1.5 2 1.5
## 167 0 0 129 2.6 2 2.6
## 168 0 0 160 3.6 2 3.6
## 169 0 0 147 1.4 1 1.4
## 170 0 0 155 3.1 0 3.1
## 171 0 2 142 0.6 1 0.6
## 172 0 1 168 1.0 0 1.0
## 173 0 1 160 1.8 0 1.8
## 174 0 2 173 3.2 2 3.2
## 175 0 0 132 2.4 2 2.4
## 176 0 0 114 2.0 0 2.0
## 177 0 0 160 1.4 2 1.4
## 178 0 2 158 0.0 0 0.0
## 179 0 0 120 2.5 0 2.5
## 180 0 0 112 0.6 1 0.6
## 181 0 0 132 1.2 1 1.2
## 182 0 0 114 1.0 2 1.0
## 183 0 0 169 0.0 0 0.0
## 184 0 2 165 2.5 1 2.5
## 185 0 0 128 2.6 0 2.6
## 186 0 0 153 0.0 1 0.0
## 187 0 0 144 1.4 1 1.4
## 188 0 0 109 2.2 1 2.2
## 189 0 2 163 0.6 1 0.6
## 190 0 0 158 0.0 0 0.0
## 191 0 0 142 1.2 0 1.2
## 192 0 0 131 2.2 2 2.2
## 193 0 0 113 1.4 1 1.4
## 194 0 0 142 2.8 2 2.8
## 195 0 2 155 3.0 0 3.0
## 196 0 0 140 3.4 0 3.4
## 197 0 2 147 3.6 0 3.6
## 198 0 0 163 0.2 2 0.2
## 199 0 0 99 1.8 2 1.8
## 200 0 0 158 0.6 2 0.6
## 201 0 0 177 0.0 1 0.0
## 202 0 0 141 2.8 1 2.8
## 203 0 0 111 0.8 0 0.8
## 204 0 2 150 1.6 0 1.6
## 205 0 0 145 2.8 2 6.2
## 206 0 0 161 0.0 1 0.0
## 207 0 0 142 1.2 1 1.2
## 208 0 0 157 2.6 2 2.6
## 209 0 2 139 2.0 2 2.0
## 210 0 0 162 0.0 1 0.0
## 211 0 2 150 0.4 1 0.4
## 212 0 0 140 3.6 1 3.6
## 213 0 0 140 1.2 0 1.2
## 214 0 0 146 1.0 0 1.0
## 215 0 0 144 1.2 1 1.2
## 216 0 0 136 3.0 0 3.0
## 217 0 2 97 1.2 1 1.2
## 218 0 0 132 1.8 2 1.8
## 219 0 0 127 2.8 1 2.8
## 220 0 0 150 0.0 2 0.0
## 221 0 0 154 4.0 2 4.0
## 222 0 0 111 2.8 0 5.6
## 223 0 3 174 1.4 1 1.4
## 224 0 0 133 4.0 2 4.0
## 225 0 0 126 2.8 1 2.8
## 226 0 0 125 2.6 0 2.6
## 227 0 1 103 1.4 1 1.4
## 228 0 0 130 1.6 0 1.6
## 229 0 3 159 0.2 0 0.2
## 230 0 2 131 1.8 0 1.8
## 231 0 2 152 0.0 0 0.0
## 232 0 0 124 1.0 2 1.0
## 233 0 0 145 0.8 1 0.8
## 234 0 0 96 2.2 1 2.2
## 235 0 0 109 2.4 2 2.4
## 236 0 0 173 1.6 0 1.6
## 237 0 0 171 0.0 2 0.0
## 238 0 0 170 1.2 2 1.2
## 239 0 0 162 0.0 2 0.0
## 240 0 0 156 0.0 0 0.0
## 241 0 2 112 2.9 1 2.9
## 242 0 0 143 0.0 0 0.0
## 243 0 0 132 2.0 2 2.0
## 244 0 0 88 1.2 1 1.2
## 245 0 0 105 2.1 1 2.1
## 246 0 0 166 0.5 0 0.5
## 247 0 0 150 1.9 2 1.9
## 248 0 1 120 0.0 2 0.0
## 249 0 1 195 0.0 1 0.0
## 250 0 2 146 2.0 2 2.0
## 251 0 0 122 2.8 2 4.2
## 252 0 0 143 0.1 2 0.1
## 253 0 0 106 1.9 2 1.9
## 254 0 0 125 0.9 2 0.9
## 255 0 3 125 0.0 0 0.0
## 256 0 0 147 0.0 2 0.0
## 257 0 0 130 3.0 2 3.0
## 258 0 0 126 0.9 0 0.9
## 259 0 0 154 1.4 0 1.4
## 260 0 3 182 3.8 0 3.8
## 261 0 0 165 1.0 2 1.0
## 262 0 0 160 0.0 1 0.0
## 263 0 0 95 2.0 2 2.0
## 264 0 0 169 1.8 2 1.8
## 265 0 0 108 0.0 1 0.0
## 266 0 0 132 0.1 1 0.1
## 267 0 0 117 3.4 0 3.4
## 268 0 2 126 0.8 2 0.8
## 269 0 0 116 3.2 2 3.2
## 270 0 0 103 1.6 0 1.6
## 271 0 0 144 0.8 0 0.8
## 272 0 3 145 2.6 2 2.6
## 273 0 0 116 1.0 0 1.0
## 274 0 0 156 0.1 1 0.1
## 275 0 0 118 1.0 1 1.0
## 276 0 0 168 1.0 2 1.0
## 277 0 0 105 2.0 1 2.0
## 278 0 1 141 0.3 0 0.3
## 279 0 1 152 0.0 2 0.0
## 280 0 0 125 3.6 1 3.6
## 281 0 0 125 1.8 0 1.8
## 282 0 0 156 1.0 0 1.0
## 283 0 2 134 2.2 1 2.2
## 284 0 0 181 0.0 0 0.0
## 285 0 0 138 1.9 1 1.9
## 286 0 0 120 1.8 2 1.8
## 287 0 3 162 0.8 2 0.8
## 288 0 1 164 0.0 1 0.0
## 289 0 0 143 3.0 1 3.0
## 290 0 0 130 2.0 1 2.0
## 291 0 0 161 0.0 1 0.0
## 292 0 0 140 2.8 2 4.4
## 293 0 0 146 2.8 2 2.8
## 294 0 2 150 0.8 0 0.8
## 295 0 0 144 2.8 0 2.8
## 296 0 0 144 4.0 2 4.0
## 297 0 0 136 0.0 0 0.0
## 298 0 0 90 1.0 2 1.0
## 299 0 0 123 0.2 0 0.2
## 300 0 3 132 1.2 0 1.2
## 301 0 0 141 3.4 2 3.4
## 302 0 0 115 1.2 1 1.2
## 303 0 1 174 0.0 1 0.0
## ca Out_caping_thal thal age Out_caping_chol trestbps chol
## 1 0 1 1 63 233.0 145 233
## 2 0 2 2 37 250.0 130 250
## 3 0 2 2 41 204.0 130 204
## 4 0 2 2 56 236.0 120 236
## 5 0 2 2 57 354.0 120 354
## 6 0 1 1 57 192.0 140 192
## 7 0 2 2 56 294.0 140 294
## 8 0 3 3 44 263.0 120 263
## 9 0 3 3 52 199.0 172 199
## 10 0 2 2 57 168.0 150 168
## 11 0 2 2 54 239.0 140 239
## 12 0 2 2 48 275.0 130 275
## 13 0 2 2 49 266.0 130 266
## 14 0 2 2 64 211.0 110 211
## 15 0 2 2 58 283.0 150 283
## 16 0 2 2 50 219.0 120 219
## 17 0 2 2 58 340.0 120 340
## 18 0 2 2 66 226.0 150 226
## 19 0 2 2 43 247.0 150 247
## 20 2 2 2 69 239.0 140 239
## 21 0 3 3 59 234.0 135 234
## 22 0 2 2 44 233.0 130 233
## 23 0 2 2 42 226.0 140 226
## 24 0 2 2 61 243.0 150 243
## 25 0 3 3 40 199.0 140 199
## 26 2 2 2 71 302.0 160 302
## 27 0 2 2 59 212.0 150 212
## 28 0 2 2 51 175.0 110 175
## 29 1 2 2 65 308.8 140 417
## 30 0 2 2 53 197.0 130 197
## 31 1 2 2 41 198.0 105 198
## 32 0 3 3 65 177.0 120 177
## 33 0 2 2 44 219.0 130 219
## 34 1 2 2 54 273.0 125 273
## 35 1 2 2 51 213.0 125 213
## 36 0 2 2 46 177.0 142 177
## 37 0 2 2 54 304.0 135 304
## 38 0 3 3 54 232.0 150 232
## 39 0 2 2 65 269.0 155 269
## 40 0 2 2 65 360.0 160 360
## 41 1 2 2 51 308.0 140 308
## 42 0 2 2 48 245.0 130 245
## 43 0 2 2 45 208.0 104 208
## 44 0 2 2 53 264.0 130 264
## 45 0 2 2 39 321.0 140 321
## 46 0 2 2 52 325.0 120 325
## 47 0 2 2 44 235.0 140 235
## 48 0 2 2 47 257.0 138 257
## 49 0 2 0 53 216.0 128 216
## 50 0 2 2 53 234.0 138 234
## 51 0 2 2 51 256.0 130 256
## 52 0 2 2 66 302.0 120 302
## 53 3 3 3 62 231.0 130 231
## 54 0 2 2 44 141.0 108 141
## 55 0 2 2 63 252.0 135 252
## 56 1 2 2 52 201.0 134 201
## 57 0 2 2 48 222.0 122 222
## 58 0 2 2 45 260.0 115 260
## 59 0 2 2 34 182.0 118 182
## 60 1 2 2 57 303.0 128 303
## 61 1 2 2 71 265.0 110 265
## 62 0 3 3 54 309.0 108 309
## 63 0 1 1 52 186.0 118 186
## 64 0 1 1 41 203.0 135 203
## 65 0 2 2 58 211.0 140 211
## 66 0 2 2 35 183.0 138 183
## 67 0 2 2 51 222.0 100 222
## 68 0 2 2 45 234.0 130 234
## 69 0 2 2 44 220.0 120 220
## 70 0 2 2 62 209.0 124 209
## 71 0 3 3 54 258.0 120 258
## 72 1 3 3 51 227.0 94 227
## 73 0 2 2 29 204.0 130 204
## 74 0 2 2 51 261.0 140 261
## 75 0 2 2 43 213.0 122 213
## 76 0 2 2 55 250.0 135 250
## 77 0 2 2 51 245.0 125 245
## 78 0 2 2 59 221.0 140 221
## 79 0 2 2 52 205.0 128 205
## 80 0 3 3 58 240.0 105 240
## 81 0 2 2 41 250.0 112 250
## 82 0 2 2 45 308.0 128 308
## 83 1 2 2 60 318.0 102 318
## 84 0 3 3 52 298.0 152 298
## 85 0 2 2 42 265.0 102 265
## 86 0 3 3 67 308.8 115 564
## 87 1 3 3 68 277.0 118 277
## 88 0 3 3 46 197.0 101 197
## 89 0 2 2 54 214.0 110 214
## 90 0 2 2 58 248.0 100 248
## 91 2 2 2 48 255.0 124 255
## 92 0 3 3 57 207.0 132 207
## 93 4 2 2 52 223.0 138 223
## 94 1 2 2 54 288.0 132 288
## 95 0 2 2 45 160.0 112 160
## 96 0 3 3 53 226.0 142 226
## 97 0 2 2 62 308.8 140 394
## 98 3 3 3 52 233.0 108 233
## 99 1 2 2 43 315.0 130 315
## 100 3 2 2 53 246.0 130 246
## 101 2 2 2 42 244.0 148 244
## 102 0 3 3 59 270.0 178 270
## 103 2 2 2 63 195.0 140 195
## 104 0 3 3 42 240.0 120 240
## 105 0 2 2 50 196.0 129 196
## 106 0 2 2 68 211.0 120 211
## 107 1 2 2 69 234.0 160 234
## 108 0 2 2 45 236.0 138 236
## 109 0 2 2 50 244.0 120 244
## 110 0 2 2 50 254.0 110 254
## 111 0 2 2 64 325.0 180 325
## 112 1 3 3 57 126.0 150 126
## 113 0 3 3 64 313.0 140 313
## 114 0 3 3 43 211.0 110 211
## 115 0 2 2 55 262.0 130 262
## 116 0 2 2 37 215.0 120 215
## 117 0 2 2 41 214.0 130 214
## 118 0 3 3 56 193.0 120 193
## 119 0 2 2 46 204.0 105 204
## 120 0 2 2 46 243.0 138 243
## 121 2 2 2 64 303.0 130 303
## 122 0 2 2 59 271.0 138 271
## 123 0 2 2 41 268.0 112 268
## 124 0 2 2 54 267.0 108 267
## 125 0 2 2 39 199.0 94 199
## 126 0 2 2 34 210.0 118 210
## 127 0 2 2 47 204.0 112 204
## 128 1 2 2 67 277.0 152 277
## 129 0 2 2 52 196.0 136 196
## 130 1 2 2 74 269.0 120 269
## 131 1 2 2 54 201.0 160 201
## 132 0 2 2 49 271.0 134 271
## 133 0 2 2 42 295.0 120 295
## 134 0 2 2 41 235.0 110 235
## 135 0 2 2 41 306.0 126 306
## 136 0 2 2 49 269.0 130 269
## 137 0 2 2 60 178.0 120 178
## 138 0 2 2 62 208.0 128 208
## 139 0 1 1 57 201.0 110 201
## 140 1 3 3 64 263.0 128 263
## 141 0 2 2 51 295.0 120 295
## 142 0 2 2 43 303.0 115 303
## 143 0 2 2 42 209.0 120 209
## 144 2 2 2 67 223.0 106 223
## 145 0 2 2 76 197.0 140 197
## 146 0 2 2 70 245.0 156 245
## 147 1 2 2 44 242.0 118 242
## 148 0 2 2 60 240.0 150 240
## 149 0 2 2 44 226.0 120 226
## 150 0 2 2 42 180.0 130 180
## 151 0 1 1 66 228.0 160 228
## 152 0 2 2 71 149.0 112 149
## 153 0 3 3 64 227.0 170 227
## 154 1 2 2 66 278.0 146 278
## 155 0 2 2 39 220.0 138 220
## 156 0 2 2 58 197.0 130 197
## 157 0 2 2 47 253.0 130 253
## 158 0 2 2 35 192.0 122 192
## 159 4 3 3 58 220.0 125 220
## 160 0 3 3 56 221.0 130 221
## 161 0 2 2 56 240.0 120 240
## 162 0 2 2 55 342.0 132 342
## 163 0 2 2 41 157.0 120 157
## 164 4 2 2 38 175.0 138 175
## 165 4 2 2 38 175.0 138 175
## 166 3 2 2 67 286.0 160 286
## 167 2 3 3 67 229.0 120 229
## 168 2 2 2 62 268.0 140 268
## 169 1 3 3 63 254.0 130 254
## 170 0 3 3 53 203.0 140 203
## 171 1 1 1 56 256.0 130 256
## 172 0 3 3 48 229.0 110 229
## 173 0 2 2 58 284.0 120 284
## 174 2 3 3 58 224.0 132 224
## 175 2 3 3 60 206.0 130 206
## 176 0 3 3 40 167.0 110 167
## 177 2 3 3 60 230.0 117 230
## 178 0 2 2 64 335.0 140 335
## 179 0 3 3 43 177.0 120 177
## 180 1 1 1 57 276.0 150 276
## 181 1 3 3 55 353.0 132 353
## 182 3 3 3 65 225.0 150 225
## 183 0 2 2 61 330.0 130 330
## 184 1 3 3 58 230.0 112 230
## 185 0 3 3 50 243.0 150 243
## 186 1 2 2 44 290.0 112 290
## 187 1 3 3 60 253.0 130 253
## 188 1 3 3 54 266.0 124 266
## 189 1 3 3 50 233.0 140 233
## 190 0 3 3 41 172.0 110 172
## 191 0 3 3 51 305.0 130 305
## 192 3 3 3 58 216.0 128 216
## 193 1 3 3 54 188.0 120 188
## 194 2 3 3 60 282.0 145 282
## 195 0 2 2 60 185.0 140 185
## 196 0 3 3 59 326.0 170 326
## 197 0 2 2 46 231.0 150 231
## 198 2 3 3 67 254.0 125 254
## 199 2 3 3 62 267.0 120 267
## 200 2 1 1 65 248.0 110 248
## 201 1 2 2 44 197.0 110 197
## 202 1 3 3 60 258.0 125 258
## 203 0 3 3 58 270.0 150 270
## 204 0 3 3 68 274.0 180 274
## 205 3 3 3 62 164.0 160 164
## 206 1 3 3 52 255.0 128 255
## 207 1 3 3 59 239.0 110 239
## 208 2 3 3 60 258.0 150 258
## 209 3 3 3 49 188.0 120 188
## 210 1 3 3 59 177.0 140 177
## 211 1 3 3 57 229.0 128 229
## 212 1 3 3 61 260.0 120 260
## 213 0 3 3 39 219.0 118 219
## 214 0 3 3 61 307.0 145 307
## 215 1 2 2 56 249.0 125 249
## 216 0 3 3 43 341.0 132 341
## 217 1 3 3 62 263.0 130 263
## 218 3 3 3 63 330.0 130 330
## 219 1 3 3 65 254.0 135 254
## 220 2 3 3 48 256.0 130 256
## 221 3 3 3 63 308.8 150 407
## 222 0 3 3 55 217.0 140 217
## 223 1 2 2 65 282.0 138 282
## 224 2 3 3 56 288.0 200 288
## 225 1 3 3 54 239.0 110 239
## 226 0 3 3 70 174.0 145 174
## 227 1 3 3 62 281.0 120 281
## 228 0 3 3 35 198.0 120 198
## 229 0 3 3 59 288.0 170 288
## 230 0 3 3 64 309.0 125 309
## 231 0 2 2 47 243.0 108 243
## 232 3 3 3 57 289.0 165 289
## 233 1 3 3 55 289.0 160 289
## 234 1 2 2 64 246.0 120 246
## 235 3 2 2 70 322.0 130 322
## 236 0 3 3 51 299.0 140 299
## 237 2 3 3 58 300.0 125 300
## 238 2 3 3 60 293.0 140 293
## 239 3 2 2 77 304.0 125 304
## 240 0 3 3 35 282.0 126 282
## 241 1 3 3 70 269.0 160 269
## 242 0 2 2 59 249.0 174 249
## 243 2 1 1 64 212.0 145 212
## 244 1 3 3 57 274.0 152 274
## 245 1 1 1 56 184.0 132 184
## 246 0 3 3 48 274.0 124 274
## 247 2 3 3 56 308.8 134 409
## 248 3 1 1 66 246.0 160 246
## 249 1 3 3 54 283.0 192 283
## 250 3 3 3 69 254.0 140 254
## 251 3 3 3 51 298.0 140 298
## 252 4 3 3 43 247.0 132 247
## 253 3 2 2 62 294.0 138 294
## 254 2 2 2 67 299.0 100 299
## 255 0 2 2 59 273.0 160 273
## 256 3 3 3 45 309.0 142 309
## 257 2 3 3 58 259.0 128 259
## 258 0 3 3 50 200.0 144 200
## 259 0 2 2 62 244.0 150 244
## 260 0 3 3 38 231.0 120 231
## 261 2 3 3 66 228.0 178 228
## 262 1 2 2 52 230.0 112 230
## 263 2 3 3 53 282.0 123 282
## 264 2 2 2 63 269.0 108 269
## 265 1 2 2 54 206.0 110 206
## 266 1 2 2 66 212.0 112 212
## 267 0 2 2 55 327.0 180 327
## 268 3 2 2 49 149.0 118 149
## 269 2 2 2 54 286.0 122 286
## 270 0 3 3 56 283.0 130 283
## 271 0 3 3 46 249.0 120 249
## 272 2 2 2 61 234.0 134 234
## 273 0 2 2 67 237.0 120 237
## 274 1 3 3 58 234.0 100 234
## 275 1 2 2 47 275.0 110 275
## 276 2 3 3 52 212.0 125 212
## 277 1 3 3 58 218.0 146 218
## 278 0 3 3 57 261.0 124 261
## 279 2 2 2 58 319.0 136 319
## 280 1 2 2 61 166.0 138 166
## 281 0 1 1 42 315.0 136 315
## 282 0 2 0 52 204.0 128 204
## 283 1 1 1 59 218.0 126 218
## 284 0 3 3 40 223.0 152 223
## 285 1 3 3 61 207.0 140 207
## 286 2 3 3 46 311.0 140 311
## 287 2 2 2 59 204.0 134 204
## 288 1 2 2 57 232.0 154 232
## 289 1 3 3 57 335.0 110 335
## 290 1 3 3 55 205.0 128 205
## 291 1 3 3 61 203.0 148 203
## 292 3 1 1 58 318.0 114 318
## 293 2 1 1 58 225.0 170 225
## 294 0 3 3 67 212.0 152 212
## 295 0 1 1 44 169.0 120 169
## 296 2 3 3 63 187.0 140 187
## 297 0 2 2 63 197.0 124 197
## 298 2 1 1 59 176.0 164 176
## 299 0 3 3 57 241.0 140 241
## 300 0 3 3 45 264.0 110 264
## 301 2 3 3 68 193.0 144 193
## 302 1 3 3 57 131.0 130 131
## 303 1 2 2 57 236.0 130 236
## Out_caping_trestbps Out_flag_ca Out_flag_trestbps Out_flag_oldpeak
## 1 145 0 0 0
## 2 130 0 0 0
## 3 130 0 0 0
## 4 120 0 0 0
## 5 120 0 0 0
## 6 140 0 0 0
## 7 140 0 0 0
## 8 120 0 0 0
## 9 152 0 1 0
## 10 150 0 0 0
## 11 140 0 0 0
## 12 130 0 0 0
## 13 130 0 0 0
## 14 110 0 0 0
## 15 150 0 0 0
## 16 120 0 0 0
## 17 120 0 0 0
## 18 150 0 0 0
## 19 150 0 0 0
## 20 140 0 0 0
## 21 135 0 0 0
## 22 130 0 0 0
## 23 140 0 0 0
## 24 150 0 0 0
## 25 140 0 0 0
## 26 160 0 0 0
## 27 150 0 0 0
## 28 110 0 0 0
## 29 140 0 0 0
## 30 130 0 0 0
## 31 105 0 0 0
## 32 120 0 0 0
## 33 130 0 0 0
## 34 125 0 0 0
## 35 125 0 0 0
## 36 142 0 0 0
## 37 135 0 0 0
## 38 150 0 0 0
## 39 155 0 0 0
## 40 160 0 0 0
## 41 140 0 0 0
## 42 130 0 0 0
## 43 104 0 0 0
## 44 130 0 0 0
## 45 140 0 0 0
## 46 120 0 0 0
## 47 140 0 0 0
## 48 138 0 0 0
## 49 128 0 0 0
## 50 138 0 0 0
## 51 130 0 0 0
## 52 120 0 0 0
## 53 130 1 0 0
## 54 108 0 0 0
## 55 135 0 0 0
## 56 134 0 0 0
## 57 122 0 0 0
## 58 115 0 0 0
## 59 118 0 0 0
## 60 128 0 0 0
## 61 110 0 0 0
## 62 108 0 0 0
## 63 118 0 0 0
## 64 135 0 0 0
## 65 140 0 0 0
## 66 138 0 0 0
## 67 100 0 0 0
## 68 130 0 0 0
## 69 120 0 0 0
## 70 124 0 0 0
## 71 120 0 0 0
## 72 94 0 0 0
## 73 130 0 0 0
## 74 140 0 0 0
## 75 122 0 0 0
## 76 135 0 0 0
## 77 125 0 0 0
## 78 140 0 0 0
## 79 128 0 0 0
## 80 105 0 0 0
## 81 112 0 0 0
## 82 128 0 0 0
## 83 102 0 0 0
## 84 152 0 0 0
## 85 102 0 0 0
## 86 115 0 0 0
## 87 118 0 0 0
## 88 101 0 0 0
## 89 110 0 0 0
## 90 100 0 0 0
## 91 124 0 0 0
## 92 132 0 0 0
## 93 138 1 0 0
## 94 132 0 0 0
## 95 112 0 0 0
## 96 142 0 0 0
## 97 140 0 0 0
## 98 108 1 0 0
## 99 130 0 0 0
## 100 130 1 0 0
## 101 148 0 0 0
## 102 152 0 1 1
## 103 140 0 0 0
## 104 120 0 0 0
## 105 129 0 0 0
## 106 120 0 0 0
## 107 160 0 0 0
## 108 138 0 0 0
## 109 120 0 0 0
## 110 110 0 0 0
## 111 152 0 1 0
## 112 150 0 0 0
## 113 140 0 0 0
## 114 110 0 0 0
## 115 130 0 0 0
## 116 120 0 0 0
## 117 130 0 0 0
## 118 120 0 0 0
## 119 105 0 0 0
## 120 138 0 0 0
## 121 130 0 0 0
## 122 138 0 0 0
## 123 112 0 0 0
## 124 108 0 0 0
## 125 94 0 0 0
## 126 118 0 0 0
## 127 112 0 0 0
## 128 152 0 0 0
## 129 136 0 0 0
## 130 120 0 0 0
## 131 160 0 0 0
## 132 134 0 0 0
## 133 120 0 0 0
## 134 110 0 0 0
## 135 126 0 0 0
## 136 130 0 0 0
## 137 120 0 0 0
## 138 128 0 0 0
## 139 110 0 0 0
## 140 128 0 0 0
## 141 120 0 0 0
## 142 115 0 0 0
## 143 120 0 0 0
## 144 106 0 0 0
## 145 140 0 0 0
## 146 156 0 0 0
## 147 118 0 0 0
## 148 150 0 0 0
## 149 120 0 0 0
## 150 130 0 0 0
## 151 160 0 0 0
## 152 112 0 0 0
## 153 170 0 0 0
## 154 146 0 0 0
## 155 138 0 0 0
## 156 130 0 0 0
## 157 130 0 0 0
## 158 122 0 0 0
## 159 125 1 0 0
## 160 130 0 0 0
## 161 120 0 0 0
## 162 132 0 0 0
## 163 120 0 0 0
## 164 138 1 0 0
## 165 138 1 0 0
## 166 160 1 0 0
## 167 120 0 0 0
## 168 140 0 0 0
## 169 130 0 0 0
## 170 140 0 0 0
## 171 130 0 0 0
## 172 110 0 0 0
## 173 120 0 0 0
## 174 132 0 0 0
## 175 130 0 0 0
## 176 110 0 0 0
## 177 117 0 0 0
## 178 140 0 0 0
## 179 120 0 0 0
## 180 150 0 0 0
## 181 132 0 0 0
## 182 150 1 0 0
## 183 130 0 0 0
## 184 112 0 0 0
## 185 150 0 0 0
## 186 112 0 0 0
## 187 130 0 0 0
## 188 124 0 0 0
## 189 140 0 0 0
## 190 110 0 0 0
## 191 130 0 0 0
## 192 128 1 0 0
## 193 120 0 0 0
## 194 145 0 0 0
## 195 140 0 0 0
## 196 170 0 0 0
## 197 150 0 0 0
## 198 125 0 0 0
## 199 120 0 0 0
## 200 110 0 0 0
## 201 110 0 0 0
## 202 125 0 0 0
## 203 150 0 0 0
## 204 152 0 1 0
## 205 160 1 0 1
## 206 128 0 0 0
## 207 110 0 0 0
## 208 150 0 0 0
## 209 120 1 0 0
## 210 140 0 0 0
## 211 128 0 0 0
## 212 120 0 0 0
## 213 118 0 0 0
## 214 145 0 0 0
## 215 125 0 0 0
## 216 132 0 0 0
## 217 130 0 0 0
## 218 130 1 0 0
## 219 135 0 0 0
## 220 130 0 0 0
## 221 150 1 0 0
## 222 140 0 0 1
## 223 138 0 0 0
## 224 152 0 1 0
## 225 110 0 0 0
## 226 145 0 0 0
## 227 120 0 0 0
## 228 120 0 0 0
## 229 170 0 0 0
## 230 125 0 0 0
## 231 108 0 0 0
## 232 165 1 0 0
## 233 160 0 0 0
## 234 120 0 0 0
## 235 130 1 0 0
## 236 140 0 0 0
## 237 125 0 0 0
## 238 140 0 0 0
## 239 125 1 0 0
## 240 126 0 0 0
## 241 160 0 0 0
## 242 152 0 1 0
## 243 145 0 0 0
## 244 152 0 0 0
## 245 132 0 0 0
## 246 124 0 0 0
## 247 134 0 0 0
## 248 160 1 0 0
## 249 152 0 1 0
## 250 140 1 0 0
## 251 140 1 0 1
## 252 132 1 0 0
## 253 138 1 0 0
## 254 100 0 0 0
## 255 160 0 0 0
## 256 142 1 0 0
## 257 128 0 0 0
## 258 144 0 0 0
## 259 150 0 0 0
## 260 120 0 0 0
## 261 152 0 1 0
## 262 112 0 0 0
## 263 123 0 0 0
## 264 108 0 0 0
## 265 110 0 0 0
## 266 112 0 0 0
## 267 152 0 1 0
## 268 118 1 0 0
## 269 122 0 0 0
## 270 130 0 0 0
## 271 120 0 0 0
## 272 134 0 0 0
## 273 120 0 0 0
## 274 100 0 0 0
## 275 110 0 0 0
## 276 125 0 0 0
## 277 146 0 0 0
## 278 124 0 0 0
## 279 136 0 0 0
## 280 138 0 0 0
## 281 136 0 0 0
## 282 128 0 0 0
## 283 126 0 0 0
## 284 152 0 0 0
## 285 140 0 0 0
## 286 140 0 0 0
## 287 134 0 0 0
## 288 154 0 0 0
## 289 110 0 0 0
## 290 128 0 0 0
## 291 148 0 0 0
## 292 114 1 0 1
## 293 170 0 0 0
## 294 152 0 0 0
## 295 120 0 0 0
## 296 140 0 0 0
## 297 124 0 0 0
## 298 164 0 0 0
## 299 140 0 0 0
## 300 110 0 0 0
## 301 144 0 0 0
## 302 130 0 0 0
## 303 130 0 0 0
## Out_flag_thalach
## 1 0
## 2 0
## 3 0
## 4 0
## 5 0
## 6 0
## 7 0
## 8 0
## 9 0
## 10 0
## 11 0
## 12 0
## 13 0
## 14 0
## 15 0
## 16 0
## 17 0
## 18 0
## 19 0
## 20 0
## 21 0
## 22 0
## 23 0
## 24 0
## 25 0
## 26 0
## 27 0
## 28 0
## 29 0
## 30 0
## 31 0
## 32 0
## 33 0
## 34 0
## 35 0
## 36 0
## 37 0
## 38 0
## 39 0
## 40 0
## 41 0
## 42 0
## 43 0
## 44 0
## 45 0
## 46 0
## 47 0
## 48 0
## 49 0
## 50 0
## 51 0
## 52 0
## 53 0
## 54 0
## 55 0
## 56 0
## 57 0
## 58 0
## 59 0
## 60 0
## 61 0
## 62 0
## 63 0
## 64 0
## 65 0
## 66 0
## 67 0
## 68 0
## 69 0
## 70 0
## 71 0
## 72 0
## 73 0
## 74 0
## 75 0
## 76 0
## 77 0
## 78 0
## 79 0
## 80 0
## 81 0
## 82 0
## 83 0
## 84 0
## 85 0
## 86 0
## 87 0
## 88 0
## 89 0
## 90 0
## 91 0
## 92 0
## 93 0
## 94 0
## 95 0
## 96 0
## 97 0
## 98 0
## 99 0
## 100 0
## 101 0
## 102 0
## 103 0
## 104 0
## 105 0
## 106 0
## 107 0
## 108 0
## 109 0
## 110 0
## 111 0
## 112 0
## 113 0
## 114 0
## 115 0
## 116 0
## 117 0
## 118 0
## 119 0
## 120 0
## 121 0
## 122 0
## 123 0
## 124 0
## 125 0
## 126 0
## 127 0
## 128 0
## 129 0
## 130 0
## 131 0
## 132 0
## 133 0
## 134 0
## 135 0
## 136 0
## 137 0
## 138 0
## 139 0
## 140 0
## 141 0
## 142 0
## 143 0
## 144 0
## 145 0
## 146 0
## 147 0
## 148 0
## 149 0
## 150 0
## 151 0
## 152 0
## 153 0
## 154 0
## 155 0
## 156 0
## 157 0
## 158 0
## 159 0
## 160 0
## 161 0
## 162 0
## 163 0
## 164 0
## 165 0
## 166 0
## 167 0
## 168 0
## 169 0
## 170 0
## 171 0
## 172 0
## 173 0
## 174 0
## 175 0
## 176 0
## 177 0
## 178 0
## 179 0
## 180 0
## 181 0
## 182 0
## 183 0
## 184 0
## 185 0
## 186 0
## 187 0
## 188 0
## 189 0
## 190 0
## 191 0
## 192 0
## 193 0
## 194 0
## 195 0
## 196 0
## 197 0
## 198 0
## 199 0
## 200 0
## 201 0
## 202 0
## 203 0
## 204 0
## 205 0
## 206 0
## 207 0
## 208 0
## 209 0
## 210 0
## 211 0
## 212 0
## 213 0
## 214 0
## 215 0
## 216 0
## 217 0
## 218 0
## 219 0
## 220 0
## 221 0
## 222 0
## 223 0
## 224 0
## 225 0
## 226 0
## 227 0
## 228 0
## 229 0
## 230 0
## 231 0
## 232 0
## 233 0
## 234 0
## 235 0
## 236 0
## 237 0
## 238 0
## 239 0
## 240 0
## 241 0
## 242 0
## 243 0
## 244 0
## 245 0
## 246 0
## 247 0
## 248 0
## 249 0
## 250 0
## 251 0
## 252 0
## 253 0
## 254 0
## 255 0
## 256 0
## 257 0
## 258 0
## 259 0
## 260 0
## 261 0
## 262 0
## 263 0
## 264 0
## 265 0
## 266 0
## 267 0
## 268 0
## 269 0
## 270 0
## 271 0
## 272 0
## 273 1
## 274 0
## 275 0
## 276 0
## 277 0
## 278 0
## 279 0
## 280 0
## 281 0
## 282 0
## 283 0
## 284 0
## 285 0
## 286 0
## 287 0
## 288 0
## 289 0
## 290 0
## 291 0
## 292 0
## 293 0
## 294 0
## 295 0
## 296 0
## 297 0
## 298 0
## 299 0
## 300 0
## 301 0
## 302 0
## 303 0
##
## $raw_list
## $raw_list$Num_Correlation
## Out_flag_trestbps Out_flag_chol Out_flag_thalach
## Out_flag_trestbps 1.00000000 -0.022663368 -0.0100680211
## Out_flag_chol -0.02266337 1.000000000 -0.0074537256
## Out_flag_thalach -0.01006802 -0.007453726 1.0000000000
## Out_flag_oldpeak 0.12993665 -0.016778523 -0.0074537256
## Out_flag_ca -0.05246808 0.055313924 -0.0172561590
## Out_flag_thal -0.01426196 -0.010558655 -0.0046905987
## Out_caping_age 0.09370172 0.117625503 0.0801783926
## Out_caping_cp -0.01326350 -0.020994272 -0.0540054485
## Out_caping_trestbps 0.23904784 0.042083987 -0.0397495571
## Out_caping_chol 0.10521191 0.184413558 -0.0090305068
## Out_caping_thalach 0.01368787 0.033418192 -0.0864342988
## Out_caping_oldpeak 0.07774586 0.108920128 -0.0002496928
## Out_caping_ca -0.01624881 0.059440314 -0.0450314670
## Out_caping_thal 0.10218254 0.060813372 -0.0323015678
## age 0.09370172 0.117625503 0.0801783926
## cp -0.01326350 -0.020994272 -0.0540054485
## trestbps 0.49895226 0.030895577 -0.0382012428
## chol 0.08514142 0.480467030 -0.0103021212
## thalach 0.01460386 0.033721518 -0.1979075827
## oldpeak 0.08961768 0.096146357 -0.0019660416
## ca -0.02978860 0.059712206 -0.0411107618
## thal 0.10107855 0.060704965 -0.0295153374
## Out_flag_oldpeak Out_flag_ca Out_flag_thal Out_caping_age
## Out_flag_trestbps 0.129936646 -0.05246808 -0.014261964 0.09370172
## Out_flag_chol -0.016778523 0.05531392 -0.010558655 0.11762550
## Out_flag_thalach -0.007453726 -0.01725616 -0.004690599 0.08017839
## Out_flag_oldpeak 1.000000000 0.24362987 -0.010558655 0.03762432
## Out_flag_ca 0.243629866 1.00000000 -0.024444399 0.08975013
## Out_flag_thal -0.010558655 -0.02444440 1.000000000 -0.01677850
## Out_caping_age 0.037624319 0.08975013 -0.016778504 1.00000000
## Out_caping_cp -0.046137609 -0.07188774 0.002610990 -0.06865302
## Out_caping_trestbps 0.087047955 0.10822403 -0.014388199 0.28609494
## Out_caping_chol 0.026437560 0.03897140 -0.061242954 0.19503652
## Out_caping_thalach -0.098996740 -0.13428926 -0.051791644 -0.39584459
## Out_caping_oldpeak 0.218402320 0.07079485 -0.038629645 0.21654631
## Out_caping_ca 0.091601769 0.50989635 -0.063789811 0.33891920
## Out_caping_thal 0.060813372 0.07896446 -0.045757135 0.06674531
## age 0.037624319 0.08975013 -0.016778504 1.00000000
## cp -0.046137609 -0.07188774 0.002610990 -0.06865302
## trestbps 0.109313796 0.08111764 -0.016870413 0.27935091
## chol 0.017863249 0.04460068 -0.057126565 0.21367796
## thalach -0.096561916 -0.13017998 -0.050428545 -0.39852194
## oldpeak 0.433621176 0.12221131 -0.037945863 0.21001257
## ca 0.135838988 0.72571175 -0.058235894 0.27632624
## thal 0.060704965 0.08166770 -0.308515783 0.06800138
## Out_caping_cp Out_caping_trestbps Out_caping_chol
## Out_flag_trestbps -0.01326350 0.23904784 0.105211909
## Out_flag_chol -0.02099427 0.04208399 0.184413558
## Out_flag_thalach -0.05400545 -0.03974956 -0.009030507
## Out_flag_oldpeak -0.04613761 0.08704796 0.026437560
## Out_flag_ca -0.07188774 0.10822403 0.038971398
## Out_flag_thal 0.00261099 -0.01438820 -0.061242954
## Out_caping_age -0.06865302 0.28609494 0.195036524
## Out_caping_cp 1.00000000 0.06248375 -0.094737023
## Out_caping_trestbps 0.06248375 1.00000000 0.120749530
## Out_caping_chol -0.09473702 0.12074953 1.000000000
## Out_caping_thalach 0.29440590 -0.06374981 -0.027162750
## Out_caping_oldpeak -0.14425156 0.16860759 0.040353556
## Out_caping_ca -0.21352424 0.10470292 0.092940114
## Out_caping_thal -0.16912518 0.03140390 0.069858398
## age -0.06865302 0.28609494 0.195036524
## cp 1.00000000 0.06248375 -0.094737023
## trestbps 0.04760776 0.95696797 0.142717481
## chol -0.07690439 0.10595303 0.936611241
## thalach 0.29576212 -0.05823730 -0.025706283
## oldpeak -0.14923016 0.18074563 0.029637925
## ca -0.18105303 0.11536664 0.070977505
## thal -0.16173557 0.03371540 0.082746344
## Out_caping_thalach Out_caping_oldpeak Out_caping_ca
## Out_flag_trestbps 0.01368787 0.0777458569 -0.01624881
## Out_flag_chol 0.03341819 0.1089201275 0.05944031
## Out_flag_thalach -0.08643430 -0.0002496928 -0.04503147
## Out_flag_oldpeak -0.09899674 0.2184023198 0.09160177
## Out_flag_ca -0.13428926 0.0707948451 0.50989635
## Out_flag_thal -0.05179164 -0.0386296446 -0.06378981
## Out_caping_age -0.39584459 0.2165463104 0.33891920
## Out_caping_cp 0.29440590 -0.1442515605 -0.21352424
## Out_caping_trestbps -0.06374981 0.1686075901 0.10470292
## Out_caping_chol -0.02716275 0.0403535561 0.09294011
## Out_caping_thalach 1.00000000 -0.3554011953 -0.24436796
## Out_caping_oldpeak -0.35540120 1.0000000000 0.25632950
## Out_caping_ca -0.24436796 0.2563294954 1.00000000
## Out_caping_thal -0.12090170 0.2078999712 0.15200399
## age -0.39584459 0.2165463104 0.33891920
## cp 0.29440590 -0.1442515605 -0.21352424
## trestbps -0.05184383 0.1805269770 0.09778060
## chol -0.01128423 0.0671893275 0.08928128
## thalach 0.99365826 -0.3496520810 -0.23535189
## oldpeak -0.35004353 0.9695011702 0.25709347
## ca -0.22138047 0.2075930445 0.95390701
## thal -0.10140266 0.2082005341 0.16164152
## Out_caping_thal age cp trestbps
## Out_flag_trestbps 0.10218254 0.09370172 -0.01326350 0.49895226
## Out_flag_chol 0.06081337 0.11762550 -0.02099427 0.03089558
## Out_flag_thalach -0.03230157 0.08017839 -0.05400545 -0.03820124
## Out_flag_oldpeak 0.06081337 0.03762432 -0.04613761 0.10931380
## Out_flag_ca 0.07896446 0.08975013 -0.07188774 0.08111764
## Out_flag_thal -0.04575713 -0.01677850 0.00261099 -0.01687041
## Out_caping_age 0.06674531 1.00000000 -0.06865302 0.27935091
## Out_caping_cp -0.16912518 -0.06865302 1.00000000 0.04760776
## Out_caping_trestbps 0.03140390 0.28609494 0.06248375 0.95696797
## Out_caping_chol 0.06985840 0.19503652 -0.09473702 0.14271748
## Out_caping_thalach -0.12090170 -0.39584459 0.29440590 -0.05184383
## Out_caping_oldpeak 0.20789997 0.21654631 -0.14425156 0.18052698
## Out_caping_ca 0.15200399 0.33891920 -0.21352424 0.09778060
## Out_caping_thal 1.00000000 0.06674531 -0.16912518 0.06063763
## age 0.06674531 1.00000000 -0.06865302 0.27935091
## cp -0.16912518 -0.06865302 1.00000000 0.04760776
## trestbps 0.06063763 0.27935091 0.04760776 1.00000000
## chol 0.08786613 0.21367796 -0.07690439 0.12317421
## thalach -0.11530982 -0.39852194 0.29576212 -0.04669773
## oldpeak 0.21023637 0.21001257 -0.14923016 0.19321647
## ca 0.14324768 0.27632624 -0.18105303 0.10138899
## thal 0.96433971 0.06800138 -0.16173557 0.06220989
## chol thalach oldpeak ca
## Out_flag_trestbps 0.085141416 0.014603861 0.089617678 -0.02978860
## Out_flag_chol 0.480467030 0.033721518 0.096146357 0.05971221
## Out_flag_thalach -0.010302121 -0.197907583 -0.001966042 -0.04111076
## Out_flag_oldpeak 0.017863249 -0.096561916 0.433621176 0.13583899
## Out_flag_ca 0.044600684 -0.130179980 0.122211314 0.72571175
## Out_flag_thal -0.057126565 -0.050428545 -0.037945863 -0.05823589
## Out_caping_age 0.213677957 -0.398521938 0.210012567 0.27632624
## Out_caping_cp -0.076904391 0.295762125 -0.149230158 -0.18105303
## Out_caping_trestbps 0.105953030 -0.058237300 0.180745630 0.11536664
## Out_caping_chol 0.936611241 -0.025706283 0.029637925 0.07097750
## Out_caping_thalach -0.011284227 0.993658263 -0.350043534 -0.22138047
## Out_caping_oldpeak 0.067189327 -0.349652081 0.969501170 0.20759304
## Out_caping_ca 0.089281283 -0.235351886 0.257093470 0.95390701
## Out_caping_thal 0.087866134 -0.115309824 0.210236369 0.14324768
## age 0.213677957 -0.398521938 0.210012567 0.27632624
## cp -0.076904391 0.295762125 -0.149230158 -0.18105303
## trestbps 0.123174207 -0.046697728 0.193216472 0.10138899
## chol 1.000000000 -0.009939839 0.053951920 0.07051093
## thalach -0.009939839 1.000000000 -0.344186948 -0.21317693
## oldpeak 0.053951920 -0.344186948 1.000000000 0.22268232
## ca 0.070510925 -0.213176928 0.222682322 1.00000000
## thal 0.098802993 -0.096439132 0.210244126 0.15183213
## thal
## Out_flag_trestbps 0.10107855
## Out_flag_chol 0.06070497
## Out_flag_thalach -0.02951534
## Out_flag_oldpeak 0.06070497
## Out_flag_ca 0.08166770
## Out_flag_thal -0.30851578
## Out_caping_age 0.06800138
## Out_caping_cp -0.16173557
## Out_caping_trestbps 0.03371540
## Out_caping_chol 0.08274634
## Out_caping_thalach -0.10140266
## Out_caping_oldpeak 0.20820053
## Out_caping_ca 0.16164152
## Out_caping_thal 0.96433971
## age 0.06800138
## cp -0.16173557
## trestbps 0.06220989
## chol 0.09880299
## thalach -0.09643913
## oldpeak 0.21024413
## ca 0.15183213
## thal 1.00000000
##
## $raw_list$AUC_value
## auc varName imp
## cp 0.7486386 cp 0.2486385595
## Out_caping_thalach 0.7479798 Out_caping_thalach 0.2479797980
## Out_caping_oldpeak 0.2595301 Out_caping_oldpeak 0.2404699166
## Out_caping_ca 0.2600351 Out_caping_ca 0.2399648661
## oldpeak 0.2600791 oldpeak 0.2399209486
## ca 0.2634607 ca 0.2365393061
## Out_caping_thal 0.2920290 Out_caping_thal 0.2079710145
## thal 0.2938296 thal 0.2061703996
## age 0.3619016 age 0.1380983751
## Out_caping_chol 0.4288757 Out_caping_chol 0.0711242863
## trestbps 0.4297101 trestbps 0.0702898551
## chol 0.4299297 chol 0.0700702679
## Out_caping_trestbps 0.4305007 Out_caping_trestbps 0.0694993412
## Out_flag_ca 0.4559947 Out_flag_ca 0.0440052701
## Out_flag_trestbps 0.4873518 Out_flag_trestbps 0.0126482213
## Out_flag_oldpeak 0.4885375 Out_flag_oldpeak 0.0114624506
## Out_flag_thalach 0.4963768 Out_flag_thalach 0.0036231884
## Out_flag_chol 0.5018445 Out_flag_chol 0.0018445323
## Out_flag_thal 0.4994071 Out_flag_thal 0.0005928854
##
##
## $var_list
## $var_list$All_columns
## [1] "age" "sex" "cp" "trestbps" "chol"
## [6] "fbs" "restecg" "thalach" "exang" "oldpeak"
## [11] "slope" "ca" "thal" "target_var"
##
## $var_list$Numeric_col
## [1] "age" "cp" "trestbps" "chol" "thalach" "oldpeak" "ca"
## [8] "thal"
##
## $var_list$Character_col
## character(0)
##
## $var_list$Factor_col
## character(0)
##
## $var_list$Logical_col
## character(0)
##
## $var_list$Date_col
## character(0)
##
## $var_list$Unique_col
## character(0)
##
## $var_list$MAR_col
## character(0)
##
## $var_list$Dummy_col
## NULL
##
## $var_list$Dropped_col
## [1] "sex" "fbs" "restecg" "exang" "slope"
## [6] "target_var"
##
## $var_list$Low_auc_col
## [1] "Out_flag_chol" "Out_flag_thal"
##
## $var_list$first_set_var
## $var_list$first_set_var$A
## character(0)
##
## $var_list$first_set_var$B
## character(0)
##
## $var_list$first_set_var$C
## [1] "sex" "fbs" "restecg" "exang" "slope"
## [6] "target_var"
##
## $var_list$first_set_var$D
## [1] "age" "cp" "trestbps" "chol" "thalach" "oldpeak" "ca"
## [8] "thal"
##
## $var_list$first_set_var$E
## [1] "sex" "fbs" "restecg" "exang" "slope"
##
## $var_list$first_set_var$F
## character(0)
##
## $var_list$first_set_var$G
## character(0)
##
## $var_list$first_set_var$H
## [1] FALSE
##
## $var_list$first_set_var$I
## character(0)
##
##
## $var_list$final_var_list
## [1] "cp" "Out_caping_thalach" "Out_caping_oldpeak"
## [4] "Out_caping_ca" "oldpeak" "ca"
## [7] "Out_caping_thal" "thal" "age"
## [10] "Out_caping_chol" "trestbps" "chol"
## [13] "Out_caping_trestbps" "Out_flag_ca" "Out_flag_trestbps"
## [16] "Out_flag_oldpeak" "Out_flag_thalach"
##
## $var_list$cor_var
## [1] "Out_caping_age" "thalach" "Out_caping_cp"
##
## $var_list$auc_var
## [1] "cp" "Out_caping_thalach" "Out_caping_oldpeak"
## [4] "Out_caping_ca" "oldpeak" "ca"
## [7] "Out_caping_thal" "thal" "age"
## [10] "Out_caping_chol" "trestbps" "chol"
## [13] "Out_caping_trestbps" "Out_flag_ca" "Out_flag_trestbps"
## [16] "Out_flag_oldpeak" "Out_flag_thalach"
##
## $var_list$overall_variable
## [1] "age" "cp" "trestbps"
## [4] "chol" "thalach" "oldpeak"
## [7] "ca" "thal" "Out_flag_trestbps"
## [10] "Out_flag_chol" "Out_flag_thalach" "Out_flag_oldpeak"
## [13] "Out_flag_ca" "Out_flag_thal" "Out_caping_age"
## [16] "Out_caping_cp" "Out_caping_trestbps" "Out_caping_chol"
## [19] "Out_caping_thalach" "Out_caping_oldpeak" "Out_caping_ca"
## [22] "Out_caping_thal"
##
## $var_list$zerovariance
## character(0)
##
## $var_list$outlier_summary
## [1] "Out_flag_trestbps" "Out_flag_chol" "Out_flag_thalach"
## [4] "Out_flag_oldpeak" "Out_flag_ca" "Out_flag_thal"
## [7] "Out_caping_age" "Out_caping_cp" "Out_caping_trestbps"
## [10] "Out_caping_chol" "Out_caping_thalach" "Out_caping_oldpeak"
## [13] "Out_caping_ca" "Out_caping_thal"
##
##
## attr(,"class")
## [1] "autoDataprep"train_data <- dateprep$master_data3.3 Machine learning models using autoMLmodel
Automated training, tuning and validation of machine learning models. This function includes the following binary classification techniques
+ Logistic regression - logreg
+ Regularised regression - glmnet
+ Extreme gradient boosting - xgboost
+ Random forest - randomForest
+ Random forest - ranger
+ Decision tree - rpartmymodel <- autoMLmodel( train = heart,
test = NULL,
target = 'target_var',
testSplit = 0.2,
tuneIters = 100,
tuneType = "random",
models = "all",
varImp = 10,
liftGroup = 50,
maxObs = 4000,
uid = NULL,
htmlreport = FALSE,
seed = 1991)3.3 Model output
Model performance
| Model | Fitting time | Scoring time | Train AUC | Test AUC | Accuracy | Precision | Recall | F1_score |
|---|---|---|---|---|---|---|---|---|
| glmnet | 2.165 secs | 0.007 secs | 0.928 | 0.908 | 0.820 | 0.824 | 0.848 | 0.836 |
| logreg | 2.011 secs | 0.004 secs | 0.929 | 0.906 | 0.820 | 0.824 | 0.848 | 0.836 |
| randomForest | 2.257 secs | 0.011 secs | 1.000 | 0.874 | 0.770 | 0.771 | 0.818 | 0.794 |
| ranger | 2.312 secs | 0.046 secs | 1.000 | 0.896 | 0.787 | 0.778 | 0.848 | 0.812 |
| xgboost | 2.927 secs | 0.005 secs | 1.000 | 0.874 | 0.770 | 0.757 | 0.848 | 0.800 |
| rpart | 1.922 secs | 0.004 secs | 0.927 | 0.814 | 0.738 | 0.730 | 0.818 | 0.771 |
Randomforest model Receiver Operating Characteristic (ROC) and the variable Importance
Training dataset ROC
TrainROC <- mymodel$trainedModels$randomForest$modelPlots$TrainROC
TrainROC
Test dataset ROC
TestROC <- mymodel$trainedModels$randomForest$modelPlots$TestROC
TestROC
Variable importance
VarImp <- mymodel$trainedModels$randomForest$modelPlots$VarImp
VarImp## [[1]]
Threshold
Threshold <- mymodel$trainedModels$randomForest$modelPlots$Threshold
Threshold