Table 2 Main results with mean imputationa.
Features (# of features) | Classifier | Acc | Acc std | AUC | AUC std | Sensitivity |
|---|---|---|---|---|---|---|
All (50) | Random Forest | 0.9450 | 0.03 | 0.9912 | 0.01 | 0.9391 |
Gradient Boost | 0.9377 | 0.06 | 0.9810 | 0.03 | 0.9077 | |
Neural Network | 0.9275 | 0.01 | 0.9751 | 0.01 | 0.9844 | |
Typing+Accel (34) | Random Forest | 0.9134 | 0.01 | 0.9442 | 0.01 | 0.9119 |
Gradient Boost | 0.8836 | 0.02 | 0.9430 | 0.02 | 0.8972 | |
Neural Network | 0.8907 | 0.02 | 0.9456 | 0.02 | 0.9119 | |
Typing (22) | Random Forest | 0.8998 | 0.02 | 0.9403 | 0.01 | 0.9035 |
Gradient Boost | 0.8778 | 0.02 | 0.9398 | 0.01 | 0.8888 | |
Neural Network | 0.8871 | 0.02 | 0.9332 | 0.02 | 0.8969 | |
Accel (12) | Random Forest | 0.8704 | 0.02 | 0.9328 | 0.02 | 0.9119 |
Gradient Boost | 0.8395 | 0.03 | 0.9042 | 0.02 | 0.8919 | |
Neural Network | 0.8623 | 0.01 | 0.9114 | 0.02 | 0.8854 |
