Pancytopenia Onset Prediction on Claims
48RateCaML
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| CaMLThreshold (u)=0.9992023.01 | 48 | 18 | 54 | |
| RA-learnerThreshold (u)=0.9992023.01 | 47 | 17 | 54 | |
| CaML w/o RA-learnerThreshold (u)=0.9992023.01 | 45 | 16 | 51 | |
| T-learner w/ meta-learningThreshold (u)=0.9992023.01 | 40 | 15 | 45 | |
| CaML - w/o meta-learningThreshold (u)=0.9992023.01 | 39 | 15 | 45 | |
| CaMLThreshold (u)=0.9982023.01 | 38 | 27 | 43 | |
| RA-learnerThreshold (u)=0.9982023.01 | 37 | 26 | 42 | |
| CaML w/o RA-learnerThreshold (u)=0.9982023.01 | 36 | 24 | 41 | |
| T-learnerThreshold (u)=0.9992023.01 | 32 | 12 | 36 | |
| T-learner w/ meta-learningThreshold (u)=0.9982023.01 | 31 | 22 | 35 | |
| CaML - w/o meta-learningThreshold (u)=0.9982023.01 | 31 | 22 | 35 | |
| T-learnerThreshold (u)=0.9982023.01 | 26 | 18 | 29 | |
| RA-learnerThreshold (u)=0.9952023.01 | 23 | 38 | 26 | |
| CaMLThreshold (u)=0.9952023.01 | 23 | 38 | 26 | |
| CaML w/o RA-learnerThreshold (u)=0.9952023.01 | 22 | 35 | 26 | |
| S-learner w/ meta-learningThreshold (u)=0.9992023.01 | 21 | 8 | 25 | |
| R-learnerThreshold (u)=0.9992023.01 | 19 | 6 | 24 | |
| GraphITEThreshold (u)=0.9992023.01 | 19 | 7 | 23 | |
| T-learner w/ meta-learningThreshold (u)=0.9952023.01 | 18 | 32 | 21 | |
| CaML - w/o meta-learningThreshold (u)=0.9952023.01 | 18 | 32 | 22 | |
| R-learnerThreshold (u)=0.9982023.01 | 17 | 10 | 21 | |
| T-learnerThreshold (u)=0.9952023.01 | 16 | 26 | 18 | |
| S-learner w/ meta-learningThreshold (u)=0.9982023.01 | 16 | 11 | 18 | |
| TARNetThreshold (u)=0.9992023.01 | 15 | 5 | 18 | |
| RA-learnerThreshold (u)=0.992023.01 | 14 | 45 | 16 | |
| CaML w/o RA-learnerThreshold (u)=0.992023.01 | 14 | 41 | 16 | |
| CaMLThreshold (u)=0.992023.01 | 13 | 45 | 16 | |
| R-learnerThreshold (u)=0.9952023.01 | 12 | 19 | 15 | |
| TARNetThreshold (u)=0.9982023.01 | 12 | 8 | 15 | |
| GraphITEThreshold (u)=0.9982023.01 | 12 | 8 | 14 | |
| T-learner w/ meta-learningThreshold (u)=0.992023.01 | 11 | 38 | 13 | |
| CaML - w/o meta-learningThreshold (u)=0.992023.01 | 11 | 39 | 14 | |
| T-learnerThreshold (u)=0.992023.01 | 10 | 31 | 11 | |
| FlexTENetThreshold (u)=0.9992023.01 | 10 | 4 | 12 | |
| DragonNetThreshold (u)=0.9992023.01 | 9 | 2 | 12 | |
| FlexTENetThreshold (u)=0.9982023.01 | 9 | 7 | 11 | |
| S-learner w/ meta-learningThreshold (u)=0.9952023.01 | 9 | 15 | 10 | |
| R-learnerThreshold (u)=0.992023.01 | 8 | 26 | 11 | |
| DragonNetThreshold (u)=0.9982023.01 | 7 | 4 | 10 | |
| TARNetThreshold (u)=0.9952023.01 | 7 | 12 | 9 | |
| X-learnerThreshold (u)=0.9992023.01 | 6 | 2 | 9 | |
| FlexTENetThreshold (u)=0.9952023.01 | 6 | 12 | 8 | |
| X-learnerThreshold (u)=0.9982023.01 | 5 | 4 | 7 | |
| DragonNetThreshold (u)=0.9952023.01 | 5 | 7 | 7 | |
| TARNetThreshold (u)=0.992023.01 | 5 | 14 | 6 | |
| GraphITEThreshold (u)=0.9952023.01 | 5 | 9 | 7 | |
| S-learner w/ meta-learningThreshold (u)=0.992023.01 | 5 | 16 | 6 | |
| X-learnerThreshold (u)=0.9952023.01 | 4 | 8 | 6 | |
| DragonNetThreshold (u)=0.992023.01 | 4 | 10 | 5 | |
| FlexTENetThreshold (u)=0.992023.01 | 4 | 17 | 6 | |
| X-learnerThreshold (u)=0.992023.01 | 3 | 12 | 5 | |
| GraphITEThreshold (u)=0.992023.01 | 3 | 10 | 4 | |
| RandomThreshold (u)=0.9992023.01 | 0 | 0 | 0 | |
| RandomThreshold (u)=0.9982023.01 | 0 | 0 | 0 | |
| RandomThreshold (u)=0.9952023.01 | 0 | 0 | 0 | |
| RandomThreshold (u)=0.992023.01 | 0 | 0 | 0 | |
| SINThreshold (u)=0.9992023.01 | 0 | 0 | 1 | |
| SINThreshold (u)=0.9982023.01 | 0 | 1 | 1 | |
| SINThreshold (u)=0.9952023.01 | 0 | 1 | 1 | |
| SINThreshold (u)=0.992023.01 | 0 | 2 | 1 |