Random Forest-Combine | ||||
Class | Precision | Recall | F1 | Overall-Accuracy |
1 | 0.5213095 | 0.2500505 | 0.3244089 | 73.931% |
0 | 0.7553637 | 0.9086234 | 0.8220094 | 73.931% |
Random Forest-Clinical | ||||
Class | Precision | Recall | F1 | Overall-Accuracy |
1 | 0.5993651 | 0.3543434 | 0.4028256 | 72.75862% |
0 | 0.7727882 | 0.8843049 | 0.818625 | 72.75862% |
Random Forest-Gene | ||||
Class | Precision | Recall | F1 | Overall-Accuracy |
1 | 0.4683333 | 0.2250505 | 0.2883832 | 71.37931% |
0 | 0.7488169 | 0.8964157 | 0.8129295 | 71.37931% |
Adaptive Boosting-Combine | ||||
Class | Precision | Recall | F1 | Overall-Accuracy |
1 | 0.4952381 | 0.2865657 | 0.3440309 | 70.0000% |
0 | 0.7578552 | 0.8571818 | 0.7992672 | 70.0000% |
Adaptive Boosting-Clinical | ||||
Class | Precision | Recall | F1 | Overall-Accuracy |
1 | 0.4566667 | 0.4363636 | 0.4016618 | 67.24138% |
0 | 0.7787268 | 0.7857737 | 0.7695106 | 67.24138% |
Adaptive Boosting-Gene | ||||
Class | Precision | Recall | F1 | Overall-Accuracy |
1 | 0.5361905 | 0.3635859 | 0.3995099 | 72.06897% |
0 | 0.7713405 | 0.8691818 | 0.8118039 | 72.06897% |