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Datasets:
wkaandemir
/
biostat-heart

Tasks:
Tabular Classification
Modalities:
Tabular
Formats:
csv
Languages:
English
Size:
< 1K
Tags:
biostatistics
medical
healthcare
clinical
tabular
Libraries:
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pandas
Polars
License:
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age
float64
sex
float64
cp
float64
trestbps
float64
chol
float64
fbs
float64
restecg
float64
thalach
float64
exang
float64
oldpeak
float64
slope
float64
ca
float64
thal
float64
target
int64
63
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145
233
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2
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0
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3
3
1
67
1
4
120
229
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2
129
1
2.6
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2
7
1
37
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3
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250
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187
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3.5
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3
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41
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3
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1
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354
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163
1
0.6
1
0
3
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63
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254
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2
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1.4
2
1
7
1
53
1
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140
203
1
2
155
1
3.1
3
0
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57
1
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140
192
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148
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56
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2
153
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1.3
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3
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56
1
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256
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1
6
1
44
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263
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0
52
1
3
172
199
1
0
162
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0.5
1
0
7
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3
150
168
0
0
174
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1.6
1
0
3
0
48
1
2
110
229
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0
168
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1
3
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1
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239
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3
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139
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0
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0
3
0
64
1
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110
211
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1
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150
283
1
2
162
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1
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2
160
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132
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2
173
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2
7
1
60
1
4
130
206
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2
132
1
2.4
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2
7
1
50
0
3
120
219
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0
158
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1.6
2
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3
0
58
0
3
120
340
0
0
172
0
0
1
0
3
0
66
0
1
150
226
0
0
114
0
2.6
3
0
3
0
43
1
4
150
247
0
0
171
0
1.5
1
0
3
0
40
1
4
110
167
0
2
114
1
2
2
0
7
1
69
0
1
140
239
0
0
151
0
1.8
1
2
3
0
60
1
4
117
230
1
0
160
1
1.4
1
2
7
1
64
1
3
140
335
0
0
158
0
0
1
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3
1
59
1
4
135
234
0
0
161
0
0.5
2
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7
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44
1
3
130
233
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179
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42
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140
226
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0
178
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1
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3
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43
1
4
120
177
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2
120
1
2.5
2
0
7
1
57
1
4
150
276
0
2
112
1
0.6
2
1
6
1
55
1
4
132
353
0
0
132
1
1.2
2
1
7
1
61
1
3
150
243
1
0
137
1
1
2
0
3
0
65
0
4
150
225
0
2
114
0
1
2
3
7
1
40
1
1
140
199
0
0
178
1
1.4
1
0
7
0
71
0
2
160
302
0
0
162
0
0.4
1
2
3
0
59
1
3
150
212
1
0
157
0
1.6
1
0
3
0
61
0
4
130
330
0
2
169
0
0
1
0
3
1
58
1
3
112
230
0
2
165
0
2.5
2
1
7
1
51
1
3
110
175
0
0
123
0
0.6
1
0
3
0
50
1
4
150
243
0
2
128
0
2.6
2
0
7
1
65
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3
140
417
1
2
157
0
0.8
1
1
3
0
53
1
3
130
197
1
2
152
0
1.2
3
0
3
0
41
0
2
105
198
0
0
168
0
0
1
1
3
0
65
1
4
120
177
0
0
140
0
0.4
1
0
7
0
44
1
4
112
290
0
2
153
0
0
1
1
3
1
44
1
2
130
219
0
2
188
0
0
1
0
3
0
60
1
4
130
253
0
0
144
1
1.4
1
1
7
1
54
1
4
124
266
0
2
109
1
2.2
2
1
7
1
50
1
3
140
233
0
0
163
0
0.6
2
1
7
1
41
1
4
110
172
0
2
158
0
0
1
0
7
1
54
1
3
125
273
0
2
152
0
0.5
3
1
3
0
51
1
1
125
213
0
2
125
1
1.4
1
1
3
0
51
0
4
130
305
0
0
142
1
1.2
2
0
7
1
46
0
3
142
177
0
2
160
1
1.4
3
0
3
0
58
1
4
128
216
0
2
131
1
2.2
2
3
7
1
54
0
3
135
304
1
0
170
0
0
1
0
3
0
54
1
4
120
188
0
0
113
0
1.4
2
1
7
1
60
1
4
145
282
0
2
142
1
2.8
2
2
7
1
60
1
3
140
185
0
2
155
0
3
2
0
3
1
54
1
3
150
232
0
2
165
0
1.6
1
0
7
0
59
1
4
170
326
0
2
140
1
3.4
3
0
7
1
46
1
3
150
231
0
0
147
0
3.6
2
0
3
1
65
0
3
155
269
0
0
148
0
0.8
1
0
3
0
67
1
4
125
254
1
0
163
0
0.2
2
2
7
1
62
1
4
120
267
0
0
99
1
1.8
2
2
7
1
65
1
4
110
248
0
2
158
0
0.6
1
2
6
1
44
1
4
110
197
0
2
177
0
0
1
1
3
1
65
0
3
160
360
0
2
151
0
0.8
1
0
3
0
60
1
4
125
258
0
2
141
1
2.8
2
1
7
1
51
0
3
140
308
0
2
142
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1.5
1
1
3
0
48
1
2
130
245
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2
180
0
0.2
2
0
3
0
58
1
4
150
270
0
2
111
1
0.8
1
0
7
1
45
1
4
104
208
0
2
148
1
3
2
0
3
0
53
0
4
130
264
0
2
143
0
0.4
2
0
3
0
39
1
3
140
321
0
2
182
0
0
1
0
3
0
68
1
3
180
274
1
2
150
1
1.6
2
0
7
1
52
1
2
120
325
0
0
172
0
0.2
1
0
3
0
44
1
3
140
235
0
2
180
0
0
1
0
3
0
47
1
3
138
257
0
2
156
0
0
1
0
3
0
53
0
3
128
216
0
2
115
0
0
1
0
null
0
53
0
4
138
234
0
2
160
0
0
1
0
3
0
51
0
3
130
256
0
2
149
0
0.5
1
0
3
0
66
1
4
120
302
0
2
151
0
0.4
2
0
3
0
62
0
4
160
164
0
2
145
0
6.2
3
3
7
1
62
1
3
130
231
0
0
146
0
1.8
2
3
7
0
44
0
3
108
141
0
0
175
0
0.6
2
0
3
0
63
0
3
135
252
0
2
172
0
0
1
0
3
0
52
1
4
128
255
0
0
161
1
0
1
1
7
1
59
1
4
110
239
0
2
142
1
1.2
2
1
7
1
60
0
4
150
258
0
2
157
0
2.6
2
2
7
1
52
1
2
134
201
0
0
158
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0.8
1
1
3
0
48
1
4
122
222
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2
186
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1
0
3
0
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Heart Disease (Cleveland)

UCI Cleveland Heart Disease dataset. Predicts presence of heart disease from 13 clinical variables including age, blood pressure, cholesterol, and ECG results.

Feature Summary

Feature Type Role
age numeric predictor
sex numeric predictor
cp numeric predictor
trestbps numeric predictor
chol numeric predictor
fbs numeric predictor
restecg numeric predictor
thalach numeric predictor
exang numeric predictor
oldpeak numeric predictor
slope numeric predictor
ca numeric predictor
thal numeric predictor
target numeric target

Statistics

  • Target distribution: 0 (no disease): 164, 1 (disease): 139
  • Missing values: ca: 4, thal: 2

Benchmark Results (5-Fold CV)

Model ROC-AUC F1 Accuracy Sensitivity Precision
logistic_regression 0.9167 0.8309 0.8482 0.8127 0.8528
random_forest 0.9115 0.8019 0.8252 0.7698 0.8384
xgboost 0.8953 0.8094 0.8286 0.7918 0.8311

Preprocessing Notes

  • Missing values imputed with median (numeric) / most frequent (categorical)
  • SMOTE applied during cross-validation to handle class imbalance
  • Numeric features standardized (z-score normalization)

Citation

See source reference above. This dataset is repackaged for HF datasets format.
Downloads last month
17
Rows
: 303
Features
: 14
Target
target
Task
: tabular-classification
Source
: Detrano et al. (1989). International application of a new probability algorithm for the diagnosis of coronary artery disease. Am J Cardiol.
Number of rows:
303
Total file size:
23.1 kB