Example A.10. Logistic Regression
table 'pima_diabetes' :
preg plas pres skin insu mass pedi age Class
6.0 148.0 72.0 35.0 0.0 33.6 0.627 50.0 'tested_positive'
1.0 85.0 66.0 29.0 0.0 26.6 0.351 31.0 'tested_negative'
8.0 183.0 64.0 0.0 0.0 23.3 0.672 32.0 'tested_positive'
1.0 89.0 66.0 23.0 94.0 28.1 0.167 21.0 'tested_negative'
0.0 137.0 40.0 35.0 168.0 43.1 2.288 33.0 'tested_positive'
5.0 116.0 74.0 0.0 0.0 25.6 0.201 30.0 'tested_negative'
3.0 78.0 50.0 32.0 88.0 31.0 0.248 26.0 'tested_positive'
10.0 115.0 0.0 0.0 0.0 35.3 0.134 29.0 'tested_negative'
2.0 197.0 70.0 45.0 543.0 30.5 0.158 53.0 'tested_positive'
8.0 125.0 96.0 0.0 0.0 0.0 0.232 54.0 'tested_positive'
4.0 110.0 92.0 0.0 0.0 37.6 0.191 30.0 'tested_negative'
10.0 168.0 74.0 0.0 0.0 38.0 0.537 34.0 'tested_positive'
10.0 139.0 80.0 0.0 0.0 27.1 1.441 57.0 'tested_negative'
1.0 189.0 60.0 23.0 846.0 30.1 0.398 59.0 'tested_positive'
5.0 166.0 72.0 19.0 175.0 25.8 0.587 51.0 'tested_positive'
7.0 100.0 0.0 0.0 0.0 30.0 0.484 32.0 'tested_positive'
0.0 118.0 84.0 47.0 230.0 45.8 0.551 31.0 'tested_positive'
7.0 107.0 74.0 0.0 0.0 29.6 0.254 31.0 'tested_positive'
1.0 103.0 30.0 38.0 83.0 43.3 0.183 33.0 'tested_negative'
1.0 115.0 70.0 30.0 96.0 34.6 0.529 32.0 'tested_positive'
3.0 126.0 88.0 41.0 235.0 39.3 0.704 27.0 'tested_negative'
8.0 99.0 84.0 0.0 0.0 35.4 0.388 50.0 'tested_negative'
7.0 196.0 90.0 0.0 0.0 39.8 0.451 41.0 'tested_positive'
9.0 119.0 80.0 35.0 0.0 29.0 0.263 29.0 'tested_positive'
11.0 143.0 94.0 33.0 146.0 36.6 0.254 51.0 'tested_positive'
10.0 125.0 70.0 26.0 115.0 31.1 0.205 41.0 'tested_positive'
7.0 147.0 76.0 0.0 0.0 39.4 0.257 43.0 'tested_positive'
1.0 97.0 66.0 15.0 140.0 23.2 0.487 22.0 'tested_negative'
13.0 145.0 82.0 19.0 110.0 22.2 0.245 57.0 'tested_negative'
5.0 117.0 92.0 0.0 0.0 34.1 0.337 38.0 'tested_negative'
5.0 109.0 75.0 26.0 0.0 36.0 0.546 60.0 'tested_negative'
3.0 158.0 76.0 36.0 245.0 31.6 0.851 28.0 'tested_positive'
3.0 88.0 58.0 11.0 54.0 24.8 0.267 22.0 'tested_negative'
6.0 92.0 92.0 0.0 0.0 19.9 0.188 28.0 'tested_negative'
10.0 122.0 78.0 31.0 0.0 27.6 0.512 45.0 'tested_negative'
4.0 103.0 60.0 33.0 192.0 24.0 0.966 33.0 'tested_negative'
11.0 138.0 76.0 0.0 0.0 33.2 0.42 35.0 'tested_negative'
9.0 102.0 76.0 37.0 0.0 32.9 0.665 46.0 'tested_positive'
2.0 90.0 68.0 42.0 0.0 38.2 0.503 27.0 'tested_positive'
4.0 111.0 72.0 47.0 207.0 37.1 1.39 56.0 'tested_positive'
3.0 180.0 64.0 25.0 70.0 34.0 0.271 26.0 'tested_negative'
7.0 133.0 84.0 0.0 0.0 40.2 0.696 37.0 'tested_negative'
7.0 106.0 92.0 18.0 0.0 22.7 0.235 48.0 'tested_negative'
9.0 171.0 110.0 24.0 240.0 45.4 0.721 54.0 'tested_positive'
7.0 159.0 64.0 0.0 0.0 27.4 0.294 40.0 'tested_negative'
0.0 180.0 66.0 39.0 0.0 42.0 1.893 25.0 'tested_positive'
1.0 146.0 56.0 0.0 0.0 29.7 0.564 29.0 'tested_negative'
2.0 71.0 70.0 27.0 0.0 28.0 0.586 22.0 'tested_negative'
7.0 103.0 66.0 32.0 0.0 39.1 0.344 31.0 'tested_positive'
7.0 105.0 0.0 0.0 0.0 0.0 0.305 24.0 'tested_negative'
1.0 103.0 80.0 11.0 82.0 19.4 0.491 22.0 'tested_negative'
1.0 101.0 50.0 15.0 36.0 24.2 0.526 26.0 'tested_negative'
5.0 88.0 66.0 21.0 23.0 24.4 0.342 30.0 'tested_negative'
8.0 176.0 90.0 34.0 300.0 33.7 0.467 58.0 'tested_positive'
7.0 150.0 66.0 42.0 342.0 34.7 0.718 42.0 'tested_negative'
1.0 73.0 50.0 10.0 0.0 23.0 0.248 21.0 'tested_negative'
7.0 187.0 68.0 39.0 304.0 37.7 0.254 41.0 'tested_positive'
0.0 100.0 88.0 60.0 110.0 46.8 0.962 31.0 'tested_negative'
0.0 146.0 82.0 0.0 0.0 40.5 1.781 44.0 'tested_negative'
0.0 105.0 64.0 41.0 142.0 41.5 0.173 22.0 'tested_negative'
2.0 84.0 0.0 0.0 0.0 0.0 0.304 21.0 'tested_negative'
8.0 133.0 72.0 0.0 0.0 32.9 0.27 39.0 'tested_positive'
5.0 44.0 62.0 0.0 0.0 25.0 0.587 36.0 'tested_negative'
2.0 141.0 58.0 34.0 128.0 25.4 0.699 24.0 'tested_negative'
7.0 114.0 66.0 0.0 0.0 32.8 0.258 42.0 'tested_positive'
5.0 99.0 74.0 27.0 0.0 29.0 0.203 32.0 'tested_negative'
0.0 109.0 88.0 30.0 0.0 32.5 0.855 38.0 'tested_positive'
2.0 109.0 92.0 0.0 0.0 42.7 0.845 54.0 'tested_negative'
1.0 95.0 66.0 13.0 38.0 19.6 0.334 25.0 'tested_negative'
4.0 146.0 85.0 27.0 100.0 28.9 0.189 27.0 'tested_negative'
2.0 100.0 66.0 20.0 90.0 32.9 0.867 28.0 'tested_positive'
5.0 139.0 64.0 35.0 140.0 28.6 0.411 26.0 'tested_negative'
13.0 126.0 90.0 0.0 0.0 43.4 0.583 42.0 'tested_positive'
4.0 129.0 86.0 20.0 270.0 35.1 0.231 23.0 'tested_negative'
1.0 79.0 75.0 30.0 0.0 32.0 0.396 22.0 'tested_negative'
1.0 0.0 48.0 20.0 0.0 24.7 0.14 22.0 'tested_negative'
7.0 62.0 78.0 0.0 0.0 32.6 0.391 41.0 'tested_negative'
5.0 95.0 72.0 33.0 0.0 37.7 0.37 27.0 'tested_negative'
0.0 131.0 0.0 0.0 0.0 43.2 0.27 26.0 'tested_positive'
2.0 112.0 66.0 22.0 0.0 25.0 0.307 24.0 'tested_negative'
3.0 113.0 44.0 13.0 0.0 22.4 0.14 22.0 'tested_negative'
2.0 74.0 0.0 0.0 0.0 0.0 0.102 22.0 'tested_negative'
7.0 83.0 78.0 26.0 71.0 29.3 0.767 36.0 'tested_negative'
0.0 101.0 65.0 28.0 0.0 24.6 0.237 22.0 'tested_negative'
5.0 137.0 108.0 0.0 0.0 48.8 0.227 37.0 'tested_positive'
2.0 110.0 74.0 29.0 125.0 32.4 0.698 27.0 'tested_negative'
13.0 106.0 72.0 54.0 0.0 36.6 0.178 45.0 'tested_negative'
2.0 100.0 68.0 25.0 71.0 38.5 0.324 26.0 'tested_negative'
15.0 136.0 70.0 32.0 110.0 37.1 0.153 43.0 'tested_positive'
1.0 107.0 68.0 19.0 0.0 26.5 0.165 24.0 'tested_negative'
1.0 80.0 55.0 0.0 0.0 19.1 0.258 21.0 'tested_negative'
4.0 123.0 80.0 15.0 176.0 32.0 0.443 34.0 'tested_negative'
7.0 81.0 78.0 40.0 48.0 46.7 0.261 42.0 'tested_negative'
4.0 134.0 72.0 0.0 0.0 23.8 0.277 60.0 'tested_positive'
2.0 142.0 82.0 18.0 64.0 24.7 0.761 21.0 'tested_negative'
6.0 144.0 72.0 27.0 228.0 33.9 0.255 40.0 'tested_negative'
2.0 92.0 62.0 28.0 0.0 31.6 0.13 24.0 'tested_negative'
1.0 71.0 48.0 18.0 76.0 20.4 0.323 22.0 'tested_negative'
6.0 93.0 50.0 30.0 64.0 28.7 0.356 23.0 'tested_negative'
1.0 122.0 90.0 51.0 220.0 49.7 0.325 31.0 'tested_positive'
1.0 163.0 72.0 0.0 0.0 39.0 1.222 33.0 'tested_positive'
1.0 151.0 60.0 0.0 0.0 26.1 0.179 22.0 'tested_negative'
0.0 125.0 96.0 0.0 0.0 22.5 0.262 21.0 'tested_negative'
1.0 81.0 72.0 18.0 40.0 26.6 0.283 24.0 'tested_negative'
2.0 85.0 65.0 0.0 0.0 39.6 0.93 27.0 'tested_negative'
1.0 126.0 56.0 29.0 152.0 28.7 0.801 21.0 'tested_negative'
1.0 96.0 122.0 0.0 0.0 22.4 0.207 27.0 'tested_negative'
4.0 144.0 58.0 28.0 140.0 29.5 0.287 37.0 'tested_negative'
3.0 83.0 58.0 31.0 18.0 34.3 0.336 25.0 'tested_negative'
0.0 95.0 85.0 25.0 36.0 37.4 0.247 24.0 'tested_positive'
3.0 171.0 72.0 33.0 135.0 33.3 0.199 24.0 'tested_positive'
8.0 155.0 62.0 26.0 495.0 34.0 0.543 46.0 'tested_positive'
1.0 89.0 76.0 34.0 37.0 31.2 0.192 23.0 'tested_negative'
4.0 76.0 62.0 0.0 0.0 34.0 0.391 25.0 'tested_negative'
7.0 160.0 54.0 32.0 175.0 30.5 0.588 39.0 'tested_positive'
4.0 146.0 92.0 0.0 0.0 31.2 0.539 61.0 'tested_positive'
5.0 124.0 74.0 0.0 0.0 34.0 0.22 38.0 'tested_positive'
5.0 78.0 48.0 0.0 0.0 33.7 0.654 25.0 'tested_negative'
4.0 97.0 60.0 23.0 0.0 28.2 0.443 22.0 'tested_negative'
4.0 99.0 76.0 15.0 51.0 23.2 0.223 21.0 'tested_negative'
0.0 162.0 76.0 56.0 100.0 53.2 0.759 25.0 'tested_positive'
6.0 111.0 64.0 39.0 0.0 34.2 0.26 24.0 'tested_negative'
2.0 107.0 74.0 30.0 100.0 33.6 0.404 23.0 'tested_negative'
5.0 132.0 80.0 0.0 0.0 26.8 0.186 69.0 'tested_negative'
0.0 113.0 76.0 0.0 0.0 33.3 0.278 23.0 'tested_positive'
1.0 88.0 30.0 42.0 99.0 55.0 0.496 26.0 'tested_positive'
3.0 120.0 70.0 30.0 135.0 42.9 0.452 30.0 'tested_negative'
1.0 118.0 58.0 36.0 94.0 33.3 0.261 23.0 'tested_negative'
1.0 117.0 88.0 24.0 145.0 34.5 0.403 40.0 'tested_positive'
0.0 105.0 84.0 0.0 0.0 27.9 0.741 62.0 'tested_positive'
4.0 173.0 70.0 14.0 168.0 29.7 0.361 33.0 'tested_positive'
9.0 122.0 56.0 0.0 0.0 33.3 1.114 33.0 'tested_positive'
3.0 170.0 64.0 37.0 225.0 34.5 0.356 30.0 'tested_positive'
8.0 84.0 74.0 31.0 0.0 38.3 0.457 39.0 'tested_negative'
2.0 96.0 68.0 13.0 49.0 21.1 0.647 26.0 'tested_negative'
2.0 125.0 60.0 20.0 140.0 33.8 0.088 31.0 'tested_negative'
0.0 100.0 70.0 26.0 50.0 30.8 0.597 21.0 'tested_negative'
0.0 93.0 60.0 25.0 92.0 28.7 0.532 22.0 'tested_negative'
0.0 129.0 80.0 0.0 0.0 31.2 0.703 29.0 'tested_negative'
5.0 105.0 72.0 29.0 325.0 36.9 0.159 28.0 'tested_negative'
3.0 128.0 78.0 0.0 0.0 21.1 0.268 55.0 'tested_negative'
5.0 106.0 82.0 30.0 0.0 39.5 0.286 38.0 'tested_negative'
2.0 108.0 52.0 26.0 63.0 32.5 0.318 22.0 'tested_negative'
10.0 108.0 66.0 0.0 0.0 32.4 0.272 42.0 'tested_positive'
4.0 154.0 62.0 31.0 284.0 32.8 0.237 23.0 'tested_negative'
0.0 102.0 75.0 23.0 0.0 0.0 0.572 21.0 'tested_negative'
9.0 57.0 80.0 37.0 0.0 32.8 0.096 41.0 'tested_negative'
2.0 106.0 64.0 35.0 119.0 30.5 1.4 34.0 'tested_negative'
5.0 147.0 78.0 0.0 0.0 33.7 0.218 65.0 'tested_negative'
2.0 90.0 70.0 17.0 0.0 27.3 0.085 22.0 'tested_negative'
1.0 136.0 74.0 50.0 204.0 37.4 0.399 24.0 'tested_negative'
4.0 114.0 65.0 0.0 0.0 21.9 0.432 37.0 'tested_negative'
9.0 156.0 86.0 28.0 155.0 34.3 1.189 42.0 'tested_positive'
1.0 153.0 82.0 42.0 485.0 40.6 0.687 23.0 'tested_negative'
8.0 188.0 78.0 0.0 0.0 47.9 0.137 43.0 'tested_positive'
7.0 152.0 88.0 44.0 0.0 50.0 0.337 36.0 'tested_positive'
2.0 99.0 52.0 15.0 94.0 24.6 0.637 21.0 'tested_negative'
1.0 109.0 56.0 21.0 135.0 25.2 0.833 23.0 'tested_negative'
2.0 88.0 74.0 19.0 53.0 29.0 0.229 22.0 'tested_negative'
17.0 163.0 72.0 41.0 114.0 40.9 0.817 47.0 'tested_positive'
4.0 151.0 90.0 38.0 0.0 29.7 0.294 36.0 'tested_negative'
7.0 102.0 74.0 40.0 105.0 37.2 0.204 45.0 'tested_negative'
0.0 114.0 80.0 34.0 285.0 44.2 0.167 27.0 'tested_negative'
2.0 100.0 64.0 23.0 0.0 29.7 0.368 21.0 'tested_negative'
0.0 131.0 88.0 0.0 0.0 31.6 0.743 32.0 'tested_positive'
6.0 104.0 74.0 18.0 156.0 29.9 0.722 41.0 'tested_positive'
3.0 148.0 66.0 25.0 0.0 32.5 0.256 22.0 'tested_negative'
4.0 120.0 68.0 0.0 0.0 29.6 0.709 34.0 'tested_negative'
4.0 110.0 66.0 0.0 0.0 31.9 0.471 29.0 'tested_negative'
3.0 111.0 90.0 12.0 78.0 28.4 0.495 29.0 'tested_negative'
6.0 102.0 82.0 0.0 0.0 30.8 0.18 36.0 'tested_positive'
6.0 134.0 70.0 23.0 130.0 35.4 0.542 29.0 'tested_positive'
2.0 87.0 0.0 23.0 0.0 28.9 0.773 25.0 'tested_negative'
1.0 79.0 60.0 42.0 48.0 43.5 0.678 23.0 'tested_negative'
2.0 75.0 64.0 24.0 55.0 29.7 0.37 33.0 'tested_negative'
8.0 179.0 72.0 42.0 130.0 32.7 0.719 36.0 'tested_positive'
6.0 85.0 78.0 0.0 0.0 31.2 0.382 42.0 'tested_negative'
0.0 129.0 110.0 46.0 130.0 67.1 0.319 26.0 'tested_positive'
5.0 143.0 78.0 0.0 0.0 45.0 0.19 47.0 'tested_negative'
5.0 130.0 82.0 0.0 0.0 39.1 0.956 37.0 'tested_positive'
6.0 87.0 80.0 0.0 0.0 23.2 0.084 32.0 'tested_negative'
0.0 119.0 64.0 18.0 92.0 34.9 0.725 23.0 'tested_negative'
1.0 0.0 74.0 20.0 23.0 27.7 0.299 21.0 'tested_negative'
5.0 73.0 60.0 0.0 0.0 26.8 0.268 27.0 'tested_negative'
4.0 141.0 74.0 0.0 0.0 27.6 0.244 40.0 'tested_negative'
7.0 194.0 68.0 28.0 0.0 35.9 0.745 41.0 'tested_positive'
8.0 181.0 68.0 36.0 495.0 30.1 0.615 60.0 'tested_positive'
1.0 128.0 98.0 41.0 58.0 32.0 1.321 33.0 'tested_positive'
8.0 109.0 76.0 39.0 114.0 27.9 0.64 31.0 'tested_positive'
5.0 139.0 80.0 35.0 160.0 31.6 0.361 25.0 'tested_positive'
3.0 111.0 62.0 0.0 0.0 22.6 0.142 21.0 'tested_negative'
9.0 123.0 70.0 44.0 94.0 33.1 0.374 40.0 'tested_negative'
7.0 159.0 66.0 0.0 0.0 30.4 0.383 36.0 'tested_positive'
11.0 135.0 0.0 0.0 0.0 52.3 0.578 40.0 'tested_positive'
8.0 85.0 55.0 20.0 0.0 24.4 0.136 42.0 'tested_negative'
5.0 158.0 84.0 41.0 210.0 39.4 0.395 29.0 'tested_positive'
1.0 105.0 58.0 0.0 0.0 24.3 0.187 21.0 'tested_negative'
3.0 107.0 62.0 13.0 48.0 22.9 0.678 23.0 'tested_positive'
4.0 109.0 64.0 44.0 99.0 34.8 0.905 26.0 'tested_positive'
4.0 148.0 60.0 27.0 318.0 30.9 0.15 29.0 'tested_positive'
0.0 113.0 80.0 16.0 0.0 31.0 0.874 21.0 'tested_negative'
1.0 138.0 82.0 0.0 0.0 40.1 0.236 28.0 'tested_negative'
0.0 108.0 68.0 20.0 0.0 27.3 0.787 32.0 'tested_negative'
2.0 99.0 70.0 16.0 44.0 20.4 0.235 27.0 'tested_negative'
6.0 103.0 72.0 32.0 190.0 37.7 0.324 55.0 'tested_negative'
5.0 111.0 72.0 28.0 0.0 23.9 0.407 27.0 'tested_negative'
8.0 196.0 76.0 29.0 280.0 37.5 0.605 57.0 'tested_positive'
5.0 162.0 104.0 0.0 0.0 37.7 0.151 52.0 'tested_positive'
1.0 96.0 64.0 27.0 87.0 33.2 0.289 21.0 'tested_negative'
7.0 184.0 84.0 33.0 0.0 35.5 0.355 41.0 'tested_positive'
2.0 81.0 60.0 22.0 0.0 27.7 0.29 25.0 'tested_negative'
0.0 147.0 85.0 54.0 0.0 42.8 0.375 24.0 'tested_negative'
7.0 179.0 95.0 31.0 0.0 34.2 0.164 60.0 'tested_negative'
0.0 140.0 65.0 26.0 130.0 42.6 0.431 24.0 'tested_positive'
9.0 112.0 82.0 32.0 175.0 34.2 0.26 36.0 'tested_positive'
12.0 151.0 70.0 40.0 271.0 41.8 0.742 38.0 'tested_positive'
5.0 109.0 62.0 41.0 129.0 35.8 0.514 25.0 'tested_positive'
6.0 125.0 68.0 30.0 120.0 30.0 0.464 32.0 'tested_negative'
5.0 85.0 74.0 22.0 0.0 29.0 1.224 32.0 'tested_positive'
5.0 112.0 66.0 0.0 0.0 37.8 0.261 41.0 'tested_positive'
0.0 177.0 60.0 29.0 478.0 34.6 1.072 21.0 'tested_positive'
2.0 158.0 90.0 0.0 0.0 31.6 0.805 66.0 'tested_positive'
7.0 119.0 0.0 0.0 0.0 25.2 0.209 37.0 'tested_negative'
7.0 142.0 60.0 33.0 190.0 28.8 0.687 61.0 'tested_negative'
1.0 100.0 66.0 15.0 56.0 23.6 0.666 26.0 'tested_negative'
1.0 87.0 78.0 27.0 32.0 34.6 0.101 22.0 'tested_negative'
0.0 101.0 76.0 0.0 0.0 35.7 0.198 26.0 'tested_negative'
3.0 162.0 52.0 38.0 0.0 37.2 0.652 24.0 'tested_positive'
4.0 197.0 70.0 39.0 744.0 36.7 2.329 31.0 'tested_negative'
0.0 117.0 80.0 31.0 53.0 45.2 0.089 24.0 'tested_negative'
4.0 142.0 86.0 0.0 0.0 44.0 0.645 22.0 'tested_positive'
6.0 134.0 80.0 37.0 370.0 46.2 0.238 46.0 'tested_positive'
1.0 79.0 80.0 25.0 37.0 25.4 0.583 22.0 'tested_negative'
4.0 122.0 68.0 0.0 0.0 35.0 0.394 29.0 'tested_negative'
3.0 74.0 68.0 28.0 45.0 29.7 0.293 23.0 'tested_negative'
4.0 171.0 72.0 0.0 0.0 43.6 0.479 26.0 'tested_positive'
7.0 181.0 84.0 21.0 192.0 35.9 0.586 51.0 'tested_positive'
0.0 179.0 90.0 27.0 0.0 44.1 0.686 23.0 'tested_positive'
9.0 164.0 84.0 21.0 0.0 30.8 0.831 32.0 'tested_positive'
0.0 104.0 76.0 0.0 0.0 18.4 0.582 27.0 'tested_negative'
1.0 91.0 64.0 24.0 0.0 29.2 0.192 21.0 'tested_negative'
4.0 91.0 70.0 32.0 88.0 33.1 0.446 22.0 'tested_negative'
3.0 139.0 54.0 0.0 0.0 25.6 0.402 22.0 'tested_positive'
6.0 119.0 50.0 22.0 176.0 27.1 1.318 33.0 'tested_positive'
2.0 146.0 76.0 35.0 194.0 38.2 0.329 29.0 'tested_negative'
9.0 184.0 85.0 15.0 0.0 30.0 1.213 49.0 'tested_positive'
10.0 122.0 68.0 0.0 0.0 31.2 0.258 41.0 'tested_negative'
0.0 165.0 90.0 33.0 680.0 52.3 0.427 23.0 'tested_negative'
9.0 124.0 70.0 33.0 402.0 35.4 0.282 34.0 'tested_negative'
1.0 111.0 86.0 19.0 0.0 30.1 0.143 23.0 'tested_negative'
9.0 106.0 52.0 0.0 0.0 31.2 0.38 42.0 'tested_negative'
2.0 129.0 84.0 0.0 0.0 28.0 0.284 27.0 'tested_negative'
2.0 90.0 80.0 14.0 55.0 24.4 0.249 24.0 'tested_negative'
0.0 86.0 68.0 32.0 0.0 35.8 0.238 25.0 'tested_negative'
12.0 92.0 62.0 7.0 258.0 27.6 0.926 44.0 'tested_positive'
1.0 113.0 64.0 35.0 0.0 33.6 0.543 21.0 'tested_positive'
3.0 111.0 56.0 39.0 0.0 30.1 0.557 30.0 'tested_negative'
2.0 114.0 68.0 22.0 0.0 28.7 0.092 25.0 'tested_negative'
1.0 193.0 50.0 16.0 375.0 25.9 0.655 24.0 'tested_negative'
11.0 155.0 76.0 28.0 150.0 33.3 1.353 51.0 'tested_positive'
3.0 191.0 68.0 15.0 130.0 30.9 0.299 34.0 'tested_negative'
3.0 141.0 0.0 0.0 0.0 30.0 0.761 27.0 'tested_positive'
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9.0 130.0 70.0 0.0 0.0 34.2 0.652 45.0 'tested_positive'
3.0 125.0 58.0 0.0 0.0 31.6 0.151 24.0 'tested_negative'
3.0 87.0 60.0 18.0 0.0 21.8 0.444 21.0 'tested_negative'
1.0 97.0 64.0 19.0 82.0 18.2 0.299 21.0 'tested_negative'
3.0 116.0 74.0 15.0 105.0 26.3 0.107 24.0 'tested_negative'
0.0 117.0 66.0 31.0 188.0 30.8 0.493 22.0 'tested_negative'
0.0 111.0 65.0 0.0 0.0 24.6 0.66 31.0 'tested_negative'
2.0 122.0 60.0 18.0 106.0 29.8 0.717 22.0 'tested_negative'
0.0 107.0 76.0 0.0 0.0 45.3 0.686 24.0 'tested_negative'
1.0 86.0 66.0 52.0 65.0 41.3 0.917 29.0 'tested_negative'
6.0 91.0 0.0 0.0 0.0 29.8 0.501 31.0 'tested_negative'
1.0 77.0 56.0 30.0 56.0 33.3 1.251 24.0 'tested_negative'
4.0 132.0 0.0 0.0 0.0 32.9 0.302 23.0 'tested_positive'
0.0 105.0 90.0 0.0 0.0 29.6 0.197 46.0 'tested_negative'
0.0 57.0 60.0 0.0 0.0 21.7 0.735 67.0 'tested_negative'
0.0 127.0 80.0 37.0 210.0 36.3 0.804 23.0 'tested_negative'
3.0 129.0 92.0 49.0 155.0 36.4 0.968 32.0 'tested_positive'
8.0 100.0 74.0 40.0 215.0 39.4 0.661 43.0 'tested_positive'
3.0 128.0 72.0 25.0 190.0 32.4 0.549 27.0 'tested_positive'
10.0 90.0 85.0 32.0 0.0 34.9 0.825 56.0 'tested_positive'
4.0 84.0 90.0 23.0 56.0 39.5 0.159 25.0 'tested_negative'
1.0 88.0 78.0 29.0 76.0 32.0 0.365 29.0 'tested_negative'
8.0 186.0 90.0 35.0 225.0 34.5 0.423 37.0 'tested_positive'
5.0 187.0 76.0 27.0 207.0 43.6 1.034 53.0 'tested_positive'
4.0 131.0 68.0 21.0 166.0 33.1 0.16 28.0 'tested_negative'
1.0 164.0 82.0 43.0 67.0 32.8 0.341 50.0 'tested_negative'
4.0 189.0 110.0 31.0 0.0 28.5 0.68 37.0 'tested_negative'
1.0 116.0 70.0 28.0 0.0 27.4 0.204 21.0 'tested_negative'
3.0 84.0 68.0 30.0 106.0 31.9 0.591 25.0 'tested_negative'
6.0 114.0 88.0 0.0 0.0 27.8 0.247 66.0 'tested_negative'
1.0 88.0 62.0 24.0 44.0 29.9 0.422 23.0 'tested_negative'
1.0 84.0 64.0 23.0 115.0 36.9 0.471 28.0 'tested_negative'
7.0 124.0 70.0 33.0 215.0 25.5 0.161 37.0 'tested_negative'
1.0 97.0 70.0 40.0 0.0 38.1 0.218 30.0 'tested_negative'
8.0 110.0 76.0 0.0 0.0 27.8 0.237 58.0 'tested_negative'
11.0 103.0 68.0 40.0 0.0 46.2 0.126 42.0 'tested_negative'
11.0 85.0 74.0 0.0 0.0 30.1 0.3 35.0 'tested_negative'
6.0 125.0 76.0 0.0 0.0 33.8 0.121 54.0 'tested_positive'
0.0 198.0 66.0 32.0 274.0 41.3 0.502 28.0 'tested_positive'
1.0 87.0 68.0 34.0 77.0 37.6 0.401 24.0 'tested_negative'
6.0 99.0 60.0 19.0 54.0 26.9 0.497 32.0 'tested_negative'
0.0 91.0 80.0 0.0 0.0 32.4 0.601 27.0 'tested_negative'
2.0 95.0 54.0 14.0 88.0 26.1 0.748 22.0 'tested_negative'
1.0 99.0 72.0 30.0 18.0 38.6 0.412 21.0 'tested_negative'
6.0 92.0 62.0 32.0 126.0 32.0 0.085 46.0 'tested_negative'
4.0 154.0 72.0 29.0 126.0 31.3 0.338 37.0 'tested_negative'
0.0 121.0 66.0 30.0 165.0 34.3 0.203 33.0 'tested_positive'
3.0 78.0 70.0 0.0 0.0 32.5 0.27 39.0 'tested_negative'
2.0 130.0 96.0 0.0 0.0 22.6 0.268 21.0 'tested_negative'
3.0 111.0 58.0 31.0 44.0 29.5 0.43 22.0 'tested_negative'
2.0 98.0 60.0 17.0 120.0 34.7 0.198 22.0 'tested_negative'
1.0 143.0 86.0 30.0 330.0 30.1 0.892 23.0 'tested_negative'
1.0 119.0 44.0 47.0 63.0 35.5 0.28 25.0 'tested_negative'
6.0 108.0 44.0 20.0 130.0 24.0 0.813 35.0 'tested_negative'
2.0 118.0 80.0 0.0 0.0 42.9 0.693 21.0 'tested_positive'
10.0 133.0 68.0 0.0 0.0 27.0 0.245 36.0 'tested_negative'
2.0 197.0 70.0 99.0 0.0 34.7 0.575 62.0 'tested_positive'
0.0 151.0 90.0 46.0 0.0 42.1 0.371 21.0 'tested_positive'
6.0 109.0 60.0 27.0 0.0 25.0 0.206 27.0 'tested_negative'
12.0 121.0 78.0 17.0 0.0 26.5 0.259 62.0 'tested_negative'
8.0 100.0 76.0 0.0 0.0 38.7 0.19 42.0 'tested_negative'
8.0 124.0 76.0 24.0 600.0 28.7 0.687 52.0 'tested_positive'
1.0 93.0 56.0 11.0 0.0 22.5 0.417 22.0 'tested_negative'
8.0 143.0 66.0 0.0 0.0 34.9 0.129 41.0 'tested_positive'
6.0 103.0 66.0 0.0 0.0 24.3 0.249 29.0 'tested_negative'
3.0 176.0 86.0 27.0 156.0 33.3 1.154 52.0 'tested_positive'
0.0 73.0 0.0 0.0 0.0 21.1 0.342 25.0 'tested_negative'
11.0 111.0 84.0 40.0 0.0 46.8 0.925 45.0 'tested_positive'
2.0 112.0 78.0 50.0 140.0 39.4 0.175 24.0 'tested_negative'
3.0 132.0 80.0 0.0 0.0 34.4 0.402 44.0 'tested_positive'
2.0 82.0 52.0 22.0 115.0 28.5 1.699 25.0 'tested_negative'
6.0 123.0 72.0 45.0 230.0 33.6 0.733 34.0 'tested_negative'
0.0 188.0 82.0 14.0 185.0 32.0 0.682 22.0 'tested_positive'
0.0 67.0 76.0 0.0 0.0 45.3 0.194 46.0 'tested_negative'
1.0 89.0 24.0 19.0 25.0 27.8 0.559 21.0 'tested_negative'
1.0 173.0 74.0 0.0 0.0 36.8 0.088 38.0 'tested_positive'
1.0 109.0 38.0 18.0 120.0 23.1 0.407 26.0 'tested_negative'
1.0 108.0 88.0 19.0 0.0 27.1 0.4 24.0 'tested_negative'
6.0 96.0 0.0 0.0 0.0 23.7 0.19 28.0 'tested_negative'
1.0 124.0 74.0 36.0 0.0 27.8 0.1 30.0 'tested_negative'
7.0 150.0 78.0 29.0 126.0 35.2 0.692 54.0 'tested_positive'
4.0 183.0 0.0 0.0 0.0 28.4 0.212 36.0 'tested_positive'
1.0 124.0 60.0 32.0 0.0 35.8 0.514 21.0 'tested_negative'
1.0 181.0 78.0 42.0 293.0 40.0 1.258 22.0 'tested_positive'
1.0 92.0 62.0 25.0 41.0 19.5 0.482 25.0 'tested_negative'
0.0 152.0 82.0 39.0 272.0 41.5 0.27 27.0 'tested_negative'
1.0 111.0 62.0 13.0 182.0 24.0 0.138 23.0 'tested_negative'
3.0 106.0 54.0 21.0 158.0 30.9 0.292 24.0 'tested_negative'
3.0 174.0 58.0 22.0 194.0 32.9 0.593 36.0 'tested_positive'
7.0 168.0 88.0 42.0 321.0 38.2 0.787 40.0 'tested_positive'
6.0 105.0 80.0 28.0 0.0 32.5 0.878 26.0 'tested_negative'
11.0 138.0 74.0 26.0 144.0 36.1 0.557 50.0 'tested_positive'
3.0 106.0 72.0 0.0 0.0 25.8 0.207 27.0 'tested_negative'
6.0 117.0 96.0 0.0 0.0 28.7 0.157 30.0 'tested_negative'
2.0 68.0 62.0 13.0 15.0 20.1 0.257 23.0 'tested_negative'
9.0 112.0 82.0 24.0 0.0 28.2 1.282 50.0 'tested_positive'
0.0 119.0 0.0 0.0 0.0 32.4 0.141 24.0 'tested_positive'
2.0 112.0 86.0 42.0 160.0 38.4 0.246 28.0 'tested_negative'
2.0 92.0 76.0 20.0 0.0 24.2 1.698 28.0 'tested_negative'
6.0 183.0 94.0 0.0 0.0 40.8 1.461 45.0 'tested_negative'
0.0 94.0 70.0 27.0 115.0 43.5 0.347 21.0 'tested_negative'
2.0 108.0 64.0 0.0 0.0 30.8 0.158 21.0 'tested_negative'
4.0 90.0 88.0 47.0 54.0 37.7 0.362 29.0 'tested_negative'
0.0 125.0 68.0 0.0 0.0 24.7 0.206 21.0 'tested_negative'
0.0 132.0 78.0 0.0 0.0 32.4 0.393 21.0 'tested_negative'
5.0 128.0 80.0 0.0 0.0 34.6 0.144 45.0 'tested_negative'
4.0 94.0 65.0 22.0 0.0 24.7 0.148 21.0 'tested_negative'
7.0 114.0 64.0 0.0 0.0 27.4 0.732 34.0 'tested_positive'
0.0 102.0 78.0 40.0 90.0 34.5 0.238 24.0 'tested_negative'
2.0 111.0 60.0 0.0 0.0 26.2 0.343 23.0 'tested_negative'
1.0 128.0 82.0 17.0 183.0 27.5 0.115 22.0 'tested_negative'
10.0 92.0 62.0 0.0 0.0 25.9 0.167 31.0 'tested_negative'
13.0 104.0 72.0 0.0 0.0 31.2 0.465 38.0 'tested_positive'
5.0 104.0 74.0 0.0 0.0 28.8 0.153 48.0 'tested_negative'
2.0 94.0 76.0 18.0 66.0 31.6 0.649 23.0 'tested_negative'
7.0 97.0 76.0 32.0 91.0 40.9 0.871 32.0 'tested_positive'
1.0 100.0 74.0 12.0 46.0 19.5 0.149 28.0 'tested_negative'
0.0 102.0 86.0 17.0 105.0 29.3 0.695 27.0 'tested_negative'
4.0 128.0 70.0 0.0 0.0 34.3 0.303 24.0 'tested_negative'
6.0 147.0 80.0 0.0 0.0 29.5 0.178 50.0 'tested_positive'
4.0 90.0 0.0 0.0 0.0 28.0 0.61 31.0 'tested_negative'
3.0 103.0 72.0 30.0 152.0 27.6 0.73 27.0 'tested_negative'
2.0 157.0 74.0 35.0 440.0 39.4 0.134 30.0 'tested_negative'
1.0 167.0 74.0 17.0 144.0 23.4 0.447 33.0 'tested_positive'
0.0 179.0 50.0 36.0 159.0 37.8 0.455 22.0 'tested_positive'
11.0 136.0 84.0 35.0 130.0 28.3 0.26 42.0 'tested_positive'
0.0 107.0 60.0 25.0 0.0 26.4 0.133 23.0 'tested_negative'
1.0 91.0 54.0 25.0 100.0 25.2 0.234 23.0 'tested_negative'
1.0 117.0 60.0 23.0 106.0 33.8 0.466 27.0 'tested_negative'
5.0 123.0 74.0 40.0 77.0 34.1 0.269 28.0 'tested_negative'
2.0 120.0 54.0 0.0 0.0 26.8 0.455 27.0 'tested_negative'
1.0 106.0 70.0 28.0 135.0 34.2 0.142 22.0 'tested_negative'
2.0 155.0 52.0 27.0 540.0 38.7 0.24 25.0 'tested_positive'
2.0 101.0 58.0 35.0 90.0 21.8 0.155 22.0 'tested_negative'
1.0 120.0 80.0 48.0 200.0 38.9 1.162 41.0 'tested_negative'
11.0 127.0 106.0 0.0 0.0 39.0 0.19 51.0 'tested_negative'
3.0 80.0 82.0 31.0 70.0 34.2 1.292 27.0 'tested_positive'
10.0 162.0 84.0 0.0 0.0 27.7 0.182 54.0 'tested_negative'
1.0 199.0 76.0 43.0 0.0 42.9 1.394 22.0 'tested_positive'
8.0 167.0 106.0 46.0 231.0 37.6 0.165 43.0 'tested_positive'
9.0 145.0 80.0 46.0 130.0 37.9 0.637 40.0 'tested_positive'
6.0 115.0 60.0 39.0 0.0 33.7 0.245 40.0 'tested_positive'
1.0 112.0 80.0 45.0 132.0 34.8 0.217 24.0 'tested_negative'
4.0 145.0 82.0 18.0 0.0 32.5 0.235 70.0 'tested_positive'
10.0 111.0 70.0 27.0 0.0 27.5 0.141 40.0 'tested_positive'
6.0 98.0 58.0 33.0 190.0 34.0 0.43 43.0 'tested_negative'
9.0 154.0 78.0 30.0 100.0 30.9 0.164 45.0 'tested_negative'
6.0 165.0 68.0 26.0 168.0 33.6 0.631 49.0 'tested_negative'
1.0 99.0 58.0 10.0 0.0 25.4 0.551 21.0 'tested_negative'
10.0 68.0 106.0 23.0 49.0 35.5 0.285 47.0 'tested_negative'
3.0 123.0 100.0 35.0 240.0 57.3 0.88 22.0 'tested_negative'
8.0 91.0 82.0 0.0 0.0 35.6 0.587 68.0 'tested_negative'
6.0 195.0 70.0 0.0 0.0 30.9 0.328 31.0 'tested_positive'
9.0 156.0 86.0 0.0 0.0 24.8 0.23 53.0 'tested_positive'
0.0 93.0 60.0 0.0 0.0 35.3 0.263 25.0 'tested_negative'
3.0 121.0 52.0 0.0 0.0 36.0 0.127 25.0 'tested_positive'
2.0 101.0 58.0 17.0 265.0 24.2 0.614 23.0 'tested_negative'
2.0 56.0 56.0 28.0 45.0 24.2 0.332 22.0 'tested_negative'
0.0 162.0 76.0 36.0 0.0 49.6 0.364 26.0 'tested_positive'
0.0 95.0 64.0 39.0 105.0 44.6 0.366 22.0 'tested_negative'
4.0 125.0 80.0 0.0 0.0 32.3 0.536 27.0 'tested_positive'
5.0 136.0 82.0 0.0 0.0 0.0 0.64 69.0 'tested_negative'
2.0 129.0 74.0 26.0 205.0 33.2 0.591 25.0 'tested_negative'
3.0 130.0 64.0 0.0 0.0 23.1 0.314 22.0 'tested_negative'
1.0 107.0 50.0 19.0 0.0 28.3 0.181 29.0 'tested_negative'
1.0 140.0 74.0 26.0 180.0 24.1 0.828 23.0 'tested_negative'
1.0 144.0 82.0 46.0 180.0 46.1 0.335 46.0 'tested_positive'
8.0 107.0 80.0 0.0 0.0 24.6 0.856 34.0 'tested_negative'
13.0 158.0 114.0 0.0 0.0 42.3 0.257 44.0 'tested_positive'
2.0 121.0 70.0 32.0 95.0 39.1 0.886 23.0 'tested_negative'
7.0 129.0 68.0 49.0 125.0 38.5 0.439 43.0 'tested_positive'
2.0 90.0 60.0 0.0 0.0 23.5 0.191 25.0 'tested_negative'
7.0 142.0 90.0 24.0 480.0 30.4 0.128 43.0 'tested_positive'
3.0 169.0 74.0 19.0 125.0 29.9 0.268 31.0 'tested_positive'
0.0 99.0 0.0 0.0 0.0 25.0 0.253 22.0 'tested_negative'
4.0 127.0 88.0 11.0 155.0 34.5 0.598 28.0 'tested_negative'
4.0 118.0 70.0 0.0 0.0 44.5 0.904 26.0 'tested_negative'
2.0 122.0 76.0 27.0 200.0 35.9 0.483 26.0 'tested_negative'
6.0 125.0 78.0 31.0 0.0 27.6 0.565 49.0 'tested_positive'
1.0 168.0 88.0 29.0 0.0 35.0 0.905 52.0 'tested_positive'
2.0 129.0 0.0 0.0 0.0 38.5 0.304 41.0 'tested_negative'
4.0 110.0 76.0 20.0 100.0 28.4 0.118 27.0 'tested_negative'
6.0 80.0 80.0 36.0 0.0 39.8 0.177 28.0 'tested_negative'
10.0 115.0 0.0 0.0 0.0 0.0 0.261 30.0 'tested_positive'
2.0 127.0 46.0 21.0 335.0 34.4 0.176 22.0 'tested_negative'
9.0 164.0 78.0 0.0 0.0 32.8 0.148 45.0 'tested_positive'
2.0 93.0 64.0 32.0 160.0 38.0 0.674 23.0 'tested_positive'
3.0 158.0 64.0 13.0 387.0 31.2 0.295 24.0 'tested_negative'
5.0 126.0 78.0 27.0 22.0 29.6 0.439 40.0 'tested_negative'
10.0 129.0 62.0 36.0 0.0 41.2 0.441 38.0 'tested_positive'
0.0 134.0 58.0 20.0 291.0 26.4 0.352 21.0 'tested_negative'
3.0 102.0 74.0 0.0 0.0 29.5 0.121 32.0 'tested_negative'
7.0 187.0 50.0 33.0 392.0 33.9 0.826 34.0 'tested_positive'
3.0 173.0 78.0 39.0 185.0 33.8 0.97 31.0 'tested_positive'
10.0 94.0 72.0 18.0 0.0 23.1 0.595 56.0 'tested_negative'
1.0 108.0 60.0 46.0 178.0 35.5 0.415 24.0 'tested_negative'
5.0 97.0 76.0 27.0 0.0 35.6 0.378 52.0 'tested_positive'
4.0 83.0 86.0 19.0 0.0 29.3 0.317 34.0 'tested_negative'
1.0 114.0 66.0 36.0 200.0 38.1 0.289 21.0 'tested_negative'
1.0 149.0 68.0 29.0 127.0 29.3 0.349 42.0 'tested_positive'
5.0 117.0 86.0 30.0 105.0 39.1 0.251 42.0 'tested_negative'
1.0 111.0 94.0 0.0 0.0 32.8 0.265 45.0 'tested_negative'
4.0 112.0 78.0 40.0 0.0 39.4 0.236 38.0 'tested_negative'
1.0 116.0 78.0 29.0 180.0 36.1 0.496 25.0 'tested_negative'
0.0 141.0 84.0 26.0 0.0 32.4 0.433 22.0 'tested_negative'
2.0 175.0 88.0 0.0 0.0 22.9 0.326 22.0 'tested_negative'
2.0 92.0 52.0 0.0 0.0 30.1 0.141 22.0 'tested_negative'
3.0 130.0 78.0 23.0 79.0 28.4 0.323 34.0 'tested_positive'
8.0 120.0 86.0 0.0 0.0 28.4 0.259 22.0 'tested_positive'
2.0 174.0 88.0 37.0 120.0 44.5 0.646 24.0 'tested_positive'
2.0 106.0 56.0 27.0 165.0 29.0 0.426 22.0 'tested_negative'
2.0 105.0 75.0 0.0 0.0 23.3 0.56 53.0 'tested_negative'
4.0 95.0 60.0 32.0 0.0 35.4 0.284 28.0 'tested_negative'
0.0 126.0 86.0 27.0 120.0 27.4 0.515 21.0 'tested_negative'
8.0 65.0 72.0 23.0 0.0 32.0 0.6 42.0 'tested_negative'
2.0 99.0 60.0 17.0 160.0 36.6 0.453 21.0 'tested_negative'
1.0 102.0 74.0 0.0 0.0 39.5 0.293 42.0 'tested_positive'
11.0 120.0 80.0 37.0 150.0 42.3 0.785 48.0 'tested_positive'
3.0 102.0 44.0 20.0 94.0 30.8 0.4 26.0 'tested_negative'
1.0 109.0 58.0 18.0 116.0 28.5 0.219 22.0 'tested_negative'
9.0 140.0 94.0 0.0 0.0 32.7 0.734 45.0 'tested_positive'
13.0 153.0 88.0 37.0 140.0 40.6 1.174 39.0 'tested_negative'
12.0 100.0 84.0 33.0 105.0 30.0 0.488 46.0 'tested_negative'
1.0 147.0 94.0 41.0 0.0 49.3 0.358 27.0 'tested_positive'
1.0 81.0 74.0 41.0 57.0 46.3 1.096 32.0 'tested_negative'
3.0 187.0 70.0 22.0 200.0 36.4 0.408 36.0 'tested_positive'
6.0 162.0 62.0 0.0 0.0 24.3 0.178 50.0 'tested_positive'
4.0 136.0 70.0 0.0 0.0 31.2 1.182 22.0 'tested_positive'
1.0 121.0 78.0 39.0 74.0 39.0 0.261 28.0 'tested_negative'
3.0 108.0 62.0 24.0 0.0 26.0 0.223 25.0 'tested_negative'
0.0 181.0 88.0 44.0 510.0 43.3 0.222 26.0 'tested_positive'
8.0 154.0 78.0 32.0 0.0 32.4 0.443 45.0 'tested_positive'
1.0 128.0 88.0 39.0 110.0 36.5 1.057 37.0 'tested_positive'
7.0 137.0 90.0 41.0 0.0 32.0 0.391 39.0 'tested_negative'
0.0 123.0 72.0 0.0 0.0 36.3 0.258 52.0 'tested_positive'
1.0 106.0 76.0 0.0 0.0 37.5 0.197 26.0 'tested_negative'
6.0 190.0 92.0 0.0 0.0 35.5 0.278 66.0 'tested_positive'
2.0 88.0 58.0 26.0 16.0 28.4 0.766 22.0 'tested_negative'
9.0 170.0 74.0 31.0 0.0 44.0 0.403 43.0 'tested_positive'
9.0 89.0 62.0 0.0 0.0 22.5 0.142 33.0 'tested_negative'
10.0 101.0 76.0 48.0 180.0 32.9 0.171 63.0 'tested_negative'
2.0 122.0 70.0 27.0 0.0 36.8 0.34 27.0 'tested_negative'
5.0 121.0 72.0 23.0 112.0 26.2 0.245 30.0 'tested_negative'
1.0 126.0 60.0 0.0 0.0 30.1 0.349 47.0 'tested_positive'
1.0 93.0 70.0 31.0 0.0 30.4 0.315 23.0 'tested_negative'
pd = PhysicalData('pima_diabetes')
ld = LogicalData(pd)
fs = ClassificationFunctionSettings()
#------ logistic regression algorithm settings ------
as = LogisticRegressionSettings()
as.estimationMethod = LogisticEstimationMethod.newton
as.positiveTargetCategory = 'tested_positive'
as.linkFunctionType = LinkFunctionType.logit
as.preselection = TRUE
as.intercept = TRUE
# as.positiveCategoryApriori = 0.35
opt = OptimizationAlgorithmSettings()
opt.convergenceCriterion = ConvergenceCriterion.likelihood
opt.convergenceThreshold = 0.1
opt.iterMax = 20
vss = VariableSelectionSettings()
vss.variableSelectionMethod = VariableSelectionMethod.forward
vss.modelEntryLevel = 0.15
as.variableSelectionSettings = vss
as.optimizationAlgorithmSettings = opt
fs.algorithmSettings = as
fs.logicalData = ld
fs.targetAttributeName = 'Class'
save('diabetes_pd', pd)
save('diabetes_ld', ld)
save('logreg_settings', fs)
#------ building logistic model ------
bt = MiningBuildTask('diabetes_pd', 'logreg_settings', 'logreg_model')
save('diabetes_build', bt)
execute('diabetes_build')
print "Build task for logistic regression example was successfully executed"
#------ testing logistic model ------
tt = ClassificationTestTask('diabetes_pd', 'logreg_model', 'diabetes_out')
tt.testDataTargetAttributeName = 'Class'
tt.positiveTargetValue = 'tested_positive'
save('diabetes_test', tt)
execute('diabetes_test')
print "Test task for logistic regression example was successfully executed"
#------ applying logistic model ------
pdout = PhysicalData('diabetes_apply')
save('diabetes_pd_apply', pdout)
at = MiningApplyTask()
at.modelName = 'logreg_model'
at.sourceDataName = 'diabetes_pd'
at.targetDataName = 'diabetes_pd_apply'
at.replaceExistingData = TRUE
directMapping = java.util.ArrayList()
asi = ApplySourceItem()
asi.sourceName = 'Class'
asi.destinationName = 'Class'
directMapping.add(asi)
at.setDirectMapping(directMapping)
ao = ClassificationApplyOutput()
ao.item.add(ClassificationRankItem('predicted_target', ClassificationOutputType.predictedCategory , 0))
ao.item.add(ClassificationRankItem('prediction_probability', ClassificationOutputType.probability , 0))
at.applyOutput = ao
save('logreg_apply', at)
execute('logreg_apply')
print "Apply task for logistic regression example was successfully executed"
print
statModel = load('logreg_model').getModelStatistics()
statNames = statModel.getModelStatNames()
print "Model statistics \t value"
for row in range(len(statNames)):
print statNames[row], " \t ", statModel.getModelStatValue(row)
print
statModel = load('logreg_model')
varStats =statModel.getModelStatistics().getVariableStatistics()
print "Variable \t Coeff \t Wald Pr>ChiSq"
for v in varStats.getNames():
print v, "\t", varStats.getVarStatValue(v,"Coeff"), "\t", varStats.getVarStatValue(v,"Wald Pr>ChiSq")
Output
Build task for logistic regression example was successfully executed Test task for logistic regression example was successfully executed Apply task for logistic regression example was successfully executed Model statistics value LikelihoodRatio Stat 268.0153231411516 LikelihoodRatio Pr>ChiSq 0.0 Score Stat 280.70602064058977 Score Pr>ChiSq 0.0 Wald Stat 197.16538747970228 Wald Pr>ChiSq 0.0 Hosmer-Lemeshow Stat 5.502652326558107 Hosmer-Lemeshow Pr>ChiSq 0.7027461211662231 Deviance Residual 725.4685875260167 Deviance Pr>ChiSq 0.8181082400653304 Concordant 0.8375074626865672 Discordant 0.1609179104477612 Ties 0.0015746268656716418 Pairs 134000.0 Sommers' D 0.676589552238806 Goodman-Kruskal Gamma 0.6776566085403135 Kendall's Tau-a 0.307824722946545 ROC c 0.838294776119403 Rsq 0.2697731893425104 Variable Coeff Wald Pr>ChiSq Intercept -8.260706943350403 0.0 preg 0.1254554228868913 8.772799138223597E-5 plas 0.033440006471360854 0.0 pres -0.01350445385203633 0.008310735053548624 mass 0.08810607587571508 7.022885606389195E-10 pedi 0.8870372830280561 0.0026299182994015124 age 0.01667736631080239 0.07108043725106061