From: Identifying smartphone users based on how they interact with their phones
Short-term activities | Classifier | Accuracy % | F-measure | Kappa | RMSE |
---|---|---|---|---|---|
S1 | SVM | 71.79 | 0.716 | 0.706 | 0.186 |
Random forests | 71.15 | 0.701 | 0.700 | 0.141 | |
Bayes net | 60.89 | 0.595 | 0.593 | 0.163 | |
S2 | SVM | 45.39 | 0.450 | 0.431 | 0.187 |
Random forests | 57.23 | 0.668 | 0.554 | 0.162 | |
Bayes net | 28.28 | 0.243 | 0.253 | 0.209 | |
S3 | SVM | 75.56 | 0.754 | 0.744 | 0.186 |
Random forests | 76.20 | 0.748 | 0.751 | 0.133 | |
Bayes net | 60.45 | 0.595 | 0.586 | 0.160 | |
S4 | SVM | 60.36 | 0.587 | 0.587 | 0.187 |
Random forests | 59.75 | 0.580 | 0.580 | 0.151 | |
Bayes net | 50.00 | 0.470 | 0.479 | 0.175 | |
S5 | SVM | 59.75 | 0.588 | 0.579 | 0.187 |
Random forests | 54.26 | 0.516 | 0.520 | 0.162 | |
Bayes net | 38.41 | 0.323 | 0.355 | 0.179 |