age
sex
63
37
41
56
57
57
56
44
52
57
54
48
49
64
58
50
58
66
43
69
59
44
42
61
40
71
59
51
65
53
41
65
44
54
51
46
54
54
65
65
51
48
45
53
39
52
cp
1
1
0
1
0
1
0
1
1
1
1
0
1
1
0
0
0
0
1
0
1
1
1
1
1
0
1
1
0
1
0
1
1
1
1
0
0
1
0
0
0
1
1
0
1
1
3
2
1
1
0
0
1
1
2
2
0
2
1
3
3
2
2
3
0
3
0
2
0
2
3
1
2
2
2
2
1
0
1
2
3
2
2
2
2
2
2
1
0
0
2
1
trestbps chol
145
130
130
120
120
140
140
120
172
150
140
130
130
110
150
120
120
150
150
140
135
130
140
150
140
160
150
110
140
130
105
120
130
125
125
142
135
150
155
160
140
130
104
130
140
120
fbs
233
250
204
236
354
192
294
263
199
168
239
275
266
211
283
219
340
226
247
239
234
233
226
243
199
302
212
175
417
197
198
177
219
273
213
177
304
232
269
360
308
245
208
264
321
325
restecg
1
0
0
0
0
0
0
0
1
0
0
0
0
0
1
0
0
0
0
0
0
0
0
1
0
0
1
0
1
1
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
1
0
1
1
1
0
1
1
1
1
1
1
0
0
1
1
1
1
1
1
1
1
1
1
1
1
1
0
0
1
1
0
0
0
0
1
0
1
0
0
0
0
0
0
1
thalach
exang
150
187
172
178
163
148
153
173
162
174
160
139
171
144
162
158
172
114
171
151
161
179
178
137
178
162
157
123
157
152
168
140
188
152
125
160
170
165
148
151
142
180
148
143
182
172
0
0
0
0
1
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
1
0
1
1
0
0
0
0
0
0
0
0
0
1
1
0
0
0
0
0
0
1
0
0
0
44
47
53
53
51
66
62
44
63
52
48
45
34
57
71
54
52
41
58
35
51
45
44
62
54
51
29
51
43
55
51
59
52
58
41
45
60
52
42
67
68
46
54
58
48
57
52
1
1
0
0
0
1
1
0
0
1
1
1
1
0
0
1
1
1
1
0
1
0
1
0
1
1
1
1
0
0
1
1
1
1
1
1
0
1
0
0
1
1
0
0
1
1
1
2
2
2
0
2
0
2
2
2
1
0
0
3
0
2
1
3
1
2
0
2
1
1
0
2
2
1
0
2
1
2
1
1
2
2
1
2
3
0
2
2
1
2
0
2
0
2
140
138
128
138
130
120
130
108
135
134
122
115
118
128
110
108
118
135
140
138
100
130
120
124
120
94
130
140
122
135
125
140
128
105
112
128
102
152
102
115
118
101
110
100
124
132
138
235
257
216
234
256
302
231
141
252
201
222
260
182
303
265
309
186
203
211
183
222
234
220
209
258
227
204
261
213
250
245
221
205
240
250
308
318
298
265
564
277
197
214
248
255
207
223
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
1
0
1
0
0
0
0
1
0
0
0
1
0
0
1
0
0
0
0
0
0
0
0
1
1
0
1
0
0
0
0
0
1
0
1
0
1
1
0
1
1
0
1
0
0
1
0
0
1
1
0
1
0
1
1
0
0
1
1
1
0
1
1
1
180
156
115
160
149
151
146
175
172
158
186
185
174
159
130
156
190
132
165
182
143
175
170
163
147
154
202
186
165
161
166
164
184
154
179
170
160
178
122
160
151
156
158
122
175
168
169
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
1
0
1
0
0
0
1
0
1
0
0
0
0
0
0
0
0
0
0
0
1
0
54
45
53
62
52
43
53
42
59
63
42
50
68
69
45
50
50
64
57
64
43
55
37
41
56
46
46
64
59
41
54
39
34
47
67
52
74
54
49
42
41
41
49
60
62
57
64
0
0
1
0
1
1
1
1
1
0
1
1
0
1
0
0
0
0
1
0
1
1
0
1
1
0
0
0
1
0
0
0
0
1
0
0
0
0
0
1
1
0
0
0
1
1
1
1
1
0
0
0
2
2
3
3
1
2
2
2
3
0
1
0
0
2
2
0
1
2
2
3
1
0
0
0
2
2
2
1
0
2
2
1
2
1
1
1
1
0
2
1
0
0
132
112
142
140
108
130
130
148
178
140
120
129
120
160
138
120
110
180
150
140
110
130
120
130
120
105
138
130
138
112
108
94
118
112
152
136
120
160
134
120
110
126
130
120
128
110
128
288
160
226
394
233
315
246
244
270
195
240
196
211
234
236
244
254
325
126
313
211
262
215
214
193
204
243
303
271
268
267
199
210
204
277
196
269
201
271
295
235
306
269
178
208
201
263
1
0
0
0
1
0
1
0
0
0
1
0
0
1
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
0
0
0
1
0
0
1
1
0
0
0
1
1
1
0
0
0
1
0
1
1
1
1
1
1
0
0
1
0
1
0
0
0
1
1
1
1
0
0
1
1
1
1
1
1
1
0
1
1
159
138
111
157
147
162
173
178
145
179
194
163
115
131
152
162
159
154
173
133
161
155
170
168
162
172
152
122
182
172
167
179
192
143
172
169
121
163
162
162
153
163
163
96
140
126
105
1
0
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
1
0
0
0
0
0
0
0
0
1
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
1
1
51
43
42
67
76
70
44
60
44
42
66
71
64
66
39
58
47
35
58
56
56
55
41
38
38
67
67
62
63
53
56
48
58
58
60
40
60
64
43
57
55
65
61
58
50
44
60
0
1
0
0
0
1
0
0
1
1
1
0
1
0
0
0
1
1
1
1
1
0
1
1
1
1
1
0
1
1
1
1
1
1
1
1
1
1
1
1
1
0
0
1
1
1
1
2
0
2
0
2
1
2
3
2
2
0
0
3
2
2
0
2
1
1
1
1
1
1
2
2
0
0
0
0
0
2
1
1
2
0
0
0
2
0
0
0
0
0
2
0
0
0
120
115
120
106
140
156
118
150
120
130
160
112
170
146
138
130
130
122
125
130
120
132
120
138
138
160
120
140
130
140
130
110
120
132
130
110
117
140
120
150
132
150
130
112
150
112
130
295
303
209
223
197
245
242
240
226
180
228
149
227
278
220
197
253
192
220
221
240
342
157
175
175
286
229
268
254
203
256
229
284
224
206
167
230
335
177
276
353
225
330
230
243
290
253
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
1
1
1
2
0
1
1
1
1
0
1
0
0
1
1
1
1
1
0
1
1
1
1
1
0
0
0
0
0
0
1
0
0
0
0
1
1
0
0
1
0
0
0
0
0
1
157
181
173
142
116
143
149
171
169
150
138
125
155
152
152
131
179
174
144
163
169
166
182
173
173
108
129
160
147
155
142
168
160
173
132
114
160
158
120
112
132
114
169
165
128
153
144
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
0
0
1
1
0
0
0
1
1
1
0
1
1
1
0
0
0
0
0
1
54
50
41
51
58
54
60
60
59
46
67
62
65
44
60
58
68
62
52
59
60
49
59
57
61
39
61
56
43
62
63
65
48
63
55
65
56
54
70
62
35
59
64
47
57
55
64
1
1
1
0
1
1
1
1
1
1
1
1
1
1
1
1
1
0
1
1
0
1
1
1
1
1
0
1
0
0
1
1
1
0
1
1
0
1
1
1
1
1
1
1
1
1
1
0
2
0
0
0
0
0
2
0
2
0
0
0
0
0
0
2
0
0
0
0
2
0
2
0
0
0
0
0
2
0
0
0
0
0
3
0
0
0
1
0
3
2
2
0
0
0
124
140
110
130
128
120
145
140
170
150
125
120
110
110
125
150
180
160
128
110
150
120
140
128
120
118
145
125
132
130
130
135
130
150
140
138
200
110
145
120
120
170
125
108
165
160
120
266
233
172
305
216
188
282
185
326
231
254
267
248
197
258
270
274
164
255
239
258
188
177
229
260
219
307
249
341
263
330
254
256
407
217
282
288
239
174
281
198
288
309
243
289
289
246
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
1
1
0
1
0
1
0
0
1
1
0
0
0
0
0
0
0
1
0
0
0
1
0
1
0
1
0
0
0
1
1
1
0
0
0
0
0
0
1
0
0
1
1
0
1
1
0
0
0
1
0
0
0
0
1
0
0
1
1
0
1
0
1
1
0
0
0
109
163
158
142
131
113
142
155
140
147
163
99
158
177
141
111
150
145
161
142
157
139
162
150
140
140
146
144
136
97
132
127
150
154
111
174
133
126
125
103
130
159
131
152
124
145
96
1
0
0
1
1
0
1
0
1
0
0
1
0
0
1
1
1
0
1
1
0
0
1
0
1
0
1
1
1
0
1
0
1
0
1
0
1
1
1
0
1
0
1
0
0
1
1
70
51
58
60
77
35
70
59
64
57
56
48
56
66
54
69
51
43
62
67
59
45
58
50
62
38
66
52
53
63
54
66
55
49
54
56
46
61
67
58
47
52
58
57
58
61
42
1
1
1
1
1
1
1
0
1
1
1
1
0
1
1
1
1
1
0
1
1
1
1
1
0
1
0
1
1
0
1
1
0
1
1
1
1
1
1
1
1
1
1
1
0
1
1
0
0
0
0
0
0
2
0
0
0
0
0
0
1
1
2
0
0
0
0
3
0
0
0
0
3
0
0
0
0
0
0
0
2
0
0
0
3
0
0
0
0
0
1
1
0
0
130
140
125
140
125
126
160
174
145
152
132
124
134
160
192
140
140
132
138
100
160
142
128
144
150
120
178
112
123
108
110
112
180
118
122
130
120
134
120
100
110
125
146
124
136
138
136
322
299
300
293
304
282
269
249
212
274
184
274
409
246
283
254
298
247
294
299
273
309
259
200
244
231
228
230
282
269
206
212
327
149
286
283
249
234
237
234
275
212
218
261
319
166
315
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
1
0
0
0
1
0
0
0
0
1
1
0
1
0
0
0
1
0
0
1
0
1
0
0
0
0
0
1
1
1
1
1
1
0
0
2
0
0
0
0
1
1
1
0
1
1
1
0
0
1
109
173
171
170
162
156
112
143
132
88
105
166
150
120
195
146
122
143
106
125
125
147
130
126
154
182
165
160
95
169
108
132
117
126
116
103
144
145
71
156
118
168
105
141
152
125
125
0
1
0
0
1
1
1
1
0
1
1
0
1
1
0
0
1
1
0
1
0
1
1
1
1
1
1
0
1
1
1
1
1
0
1
1
0
0
0
0
1
0
0
0
0
1
1
52
59
40
61
46
59
57
57
55
61
58
58
67
44
63
63
59
57
45
68
57
57
1
1
1
1
1
1
1
1
0
1
1
0
1
1
1
0
1
0
1
1
1
0
0
2
0
0
0
3
1
0
0
0
0
0
2
0
0
0
0
0
3
0
0
1
128
126
152
140
140
134
154
110
128
148
114
170
152
120
140
124
164
140
110
144
130
130
204
218
223
207
311
204
232
335
205
203
318
225
212
169
187
197
176
241
264
193
131
236
1
1
0
0
0
0
0
0
0
0
0
1
0
0
0
0
1
0
0
1
0
0
1
1
1
0
1
1
0
1
2
1
2
0
0
1
0
1
0
1
1
1
1
0
156
134
181
138
120
162
164
143
130
161
140
146
150
144
144
136
90
123
132
141
115
174
1
0
0
1
1
0
0
1
1
0
0
1
0
1
1
1
0
1
0
0
1
0
oldpeak slope
2.3
3.5
1.4
0.8
0.6
0.4
1.3
0
0.5
1.6
1.2
0.2
0.6
1.8
1
1.6
0
2.6
1.5
1.8
0.5
0.4
0
1
1.4
0.4
1.6
0.6
0.8
1.2
0
0.4
0
0.5
1.4
1.4
0
1.6
0.8
0.8
1.5
0.2
3
0.4
0
0.2
ca
0
0
2
2
2
1
1
2
2
2
2
2
2
1
2
1
2
0
2
2
1
2
2
1
2
2
2
2
2
0
2
2
2
0
2
0
2
2
2
2
2
1
1
1
2
2
thal
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
0
0
0
0
0
2
0
0
1
0
1
0
0
1
1
0
0
0
0
0
1
0
0
0
0
0
target
1
2
2
2
2
1
2
3
3
2
2
2
2
2
2
2
2
2
2
2
3
2
2
2
3
2
2
2
2
2
2
3
2
2
2
2
2
3
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
0
0
0
0
0.5
0.4
1.8
0.6
0
0.8
0
0
0
0
0
0
0
0
0
1.4
1.2
0.6
0
0
0.4
0
0
0
0.2
1.4
2.4
0
0
0.6
0
0
0
1.2
0.6
1.6
1
0
1.6
1
0
0
0
2
2
2
2
2
1
1
1
2
2
2
2
2
2
2
2
1
1
2
2
1
1
2
2
1
2
2
2
1
1
1
2
2
1
2
2
2
1
1
1
2
2
1
1
2
2
2
0
0
0
0
0
0
3
0
0
1
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
1
0
0
0
2
0
4
2
2
0
2
2
2
3
2
2
2
2
2
2
2
2
3
1
1
2
2
2
2
2
2
3
3
2
2
2
2
2
2
2
3
2
2
2
3
2
3
3
3
2
2
2
3
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
0
0
0
1.2
0.1
1.9
0
0.8
4.2
0
0.8
0
1.5
0.1
0.2
1.1
0
0
0.2
0.2
0
0
0
2
1.9
0
0
2
0
0
0
0
0.7
0.1
0
0.1
0.2
0
0
0
0
0
0
0
0
1.5
0.2
2
1
2
1
2
2
2
2
0
2
0
2
1
1
1
2
2
2
2
2
2
2
2
1
1
2
1
1
2
2
2
2
2
2
2
1
2
2
1
2
2
2
2
2
2
1
1
1
0
0
0
3
1
3
2
0
2
0
0
0
1
0
0
0
0
1
0
0
0
0
0
0
0
0
2
0
0
0
0
0
0
1
0
1
1
0
0
0
0
0
0
0
0
1
2
2
3
2
3
2
2
2
3
2
3
2
2
2
2
2
2
2
3
3
3
2
2
2
3
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
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1
3
1
1
1
1
1
1
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1
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1
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1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
0.6
1.2
0
0.3
1.1
0
0.3
0.9
0
0
2.3
1.6
0.6
0
0
0.6
0
0
0.4
0
0
1.2
0
0
0
1.5
2.6
3.6
1.4
3.1
0.6
1
1.8
3.2
2.4
2
1.4
0
2.5
0.6
1.2
1
0
2.5
2.6
0
1.4
2
1
1
2
1
2
1
2
2
2
2
1
1
1
1
1
2
2
1
2
0
2
2
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1
0
1
0
1
0
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2
1
1
2
2
1
1
1
1
2
1
1
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0
0
0
2
0
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0
0
0
0
0
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0
0
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4
0
0
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4
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2
0
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2
2
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2
2
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1
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2
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3
3
2
2
2
2
2
2
3
2
3
3
1
3
2
3
3
3
3
2
3
1
3
3
2
3
3
2
3
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2.2
0.6
0
1.2
2.2
1.4
2.8
3
3.4
3.6
0.2
1.8
0.6
0
2.8
0.8
1.6
6.2
0
1.2
2.6
2
0
0.4
3.6
1.2
1
1.2
3
1.2
1.8
2.8
0
4
5.6
1.4
4
2.8
2.6
1.4
1.6
0.2
1.8
0
1
0.8
2.2
1
1
2
1
1
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1
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1
2
2
1
2
1
0
2
1
1
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1
1
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2
1
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1
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3
0
1
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3
3
3
3
3
3
2
3
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3
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1
2
3
3
3
3
3
3
3
3
3
3
3
3
3
2
3
3
3
3
3
3
3
2
3
3
3
3
3
3
3
2
3
3
2
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
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2.4
1.6
0
1.2
0
0
2.9
0
2
1.2
2.1
0.5
1.9
0
0
2
4.2
0.1
1.9
0.9
0
0
3
0.9
1.4
3.8
1
0
2
1.8
0
0.1
3.4
0.8
3.2
1.6
0.8
2.6
1
0.1
1
1
2
0.3
0
3.6
1.8
1
2
2
1
2
2
1
1
1
1
1
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1
1
2
1
1
1
1
1
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1
1
1
1
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1
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1
0
2
1
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1
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0
2
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1
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0
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0
0
0
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0
0
0
0
0
0
0
0
0
0
0
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0
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0
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0
This data set consists of 303 observations/samples/patients with 14 variable
The following are information of variables/attributes/columns:
1. Age: The patientàage.
2. sex: The patientàsex 1 = male, 0 = female
3. cp: Chest pain type experienced (4 values) (Value 1: typical angina, Value
non-anginal pain, Value 4: asymptomatic)
4. trestbps: Resting blood pressure (mm Hg on admission to the hospital)
5. chol: Serum cholesterol measured in mg/dl
6. fbs: Fasting blood sugar > 120 mg/dl (1 = true; 0 = false)
7. restecg: Resting electrocardiographic results (values 0,1,2) (0 = normal, 1 =
abnormality, 2 = showing probable or definite left ventricular hypertrophy by
8. thalach: maximum heart rate achieved
9. exang: exercise induced angina (1 = yes; 0 = no)
10. oldpeak = ST depression induced by exercise relative to rest (‘ST’ relates t
plot.) More details about ST: https://litfl.com/st-segment-ecg
11. slope: the slope of the peak exercise ST segment (Value 1: upsloping, Val
downsloping)
12. Ca: number of major vessels (0-3) colored by fluoroscopy
13. thal: A blood disorder called thalassemia (3 = normal; 6 = fixed defect; 7
target: 0 means no heart disease; 1 means heart disease.
mples/patients with 14 variables/attributes/columns.
ibutes/columns:
Value 1: typical angina, Value 2: atypical angina, Value 3:
n admission to the hospital)
ue; 0 = false)
s (values 0,1,2) (0 = normal, 1 = having ST-T wave
left ventricular hypertrophy by Estes’ criteria)
ise relative to rest (‘ST’ relates to positions on the ECG
segment-ecg-library/
gment (Value 1: upsloping, Value 2: flat, Value 3:
by fluoroscopy
3 = normal; 6 = fixed defect; 7 = reversible defect) 14.
t disease.
The purpose of this project is to build decision trees to make decision if a patient h
Instructions:
1. Data Exploration: Summarize the numerical data using frequency distribution, cr
measures and/or other appropriate technique you think which are appropriate to stu
correlations, and so on. Please note that, besides studying all attributes for all samp
study/summarize data based on two diagnosis: heart disease or no heart disease.
2. Create Dashboards.
3. Build decision tree. Make sure that before you build decision tree, divide this dat
80% of the data) and test set (e.g. 20% – 30% of the data).
4. Based on model built, classify test data and compare your predication/classificati
diagnosis. Calculate the rate of the accuracy.
5. In your workbook, create a Report Sheet, write up your findings as a formal repo
Make sure that your formatting is clear and easy to read.
s to make decision if a patient has heart disease or not.
using frequency distribution, cross tabulation, descriptive
nk which are appropriate to study this data set, examine
dying all attributes for all samples/rows, you may also need to
disease or no heart disease.
ild decision tree, divide this data set into training set (e.g. 70-
are your predication/classification results with the actual
p your findings as a formal report in this Report Sheet.

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