Table 3 Main results excluding missing dataa.
Features (# of features) | Classifier | Acc | Acc std | AUC | AUC std | Sensitivity |
|---|---|---|---|---|---|---|
All (50) | Random Forest | 0.9211 | 0.06 | 0.9752 | 0.04 | 0.9228 |
Gradient Boost | 0.8898 | 0.09 | 0.9697 | 0.05 | 0.8824 | |
Neural Network | 0.8555 | 0.03 | 0.9321 | 0.04 | 0.9653 | |
Typing+Accel (34) | Random Forest | 0.8952 | 0.04 | 0.9768 | 0.02 | 0.9559 |
Gradient Boost | 0.8713 | 0.05 | 0.9642 | 0.03 | 0.9338 | |
Neural Network | 0.8670 | 0.05 | 0.9224 | 0.06 | 0.9563 | |
Typing (22) | Random Forest | 0.9155 | 0.03 | 0.9774 | 0.01 | 0.9375 |
Gradient Boost | 0.8861 | 0.04 | 0.9584 | 0.02 | 0.9485 | |
Neural Network | 0.8691 | 0.04 | 0.9383 | 0.04 | 0.9512 | |
Accel (12) | Random Forest | 0.8694 | 0.03 | 0.9512 | 0.01 | 0.9228 |
Gradient Boost | 0.8272 | 0.02 | 0.9083 | 0.01 | 0.9044 | |
Neural Network | 0.8545 | 0.04 | 0.9183 | 0.04 | 0.9168 |
