Table A.4.
Precision [P.], recall [R.], F1 score [F1] results using PCA.
| POV | # of components | Naïve Bayes
|
SVM (linear kernel)
|
SVM (RBF kernel)
|
MaxEnt
|
||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| P. | R. | F1 | P. | R. | F1 | P. | R. | F1 | P. | R. | F1 | ||
|
| |||||||||||||
| 0.99 | 426 | 0.556 | 0.907 | 0.689 | 0.739 | 0.798 | 0.765 | 0.709 | 0.825 | 0.760 | 0.737 | 0.790 | 0.760 |
| 0.95 | 333 | 0.541 | 0.957 | 0.691 | 0.743 | 0.774 | 0.753 | 0.712 | 0.802 | 0.752 | 0.731 | 0.790 | 0.757 |
| 0.90 | 259 | 0.532 | 0.969 | 0.687 | 0.709 | 0.717 | 0.710 | 0.714 | 0.783 | 0.745 | 0.731 | 0.782 | 0.753 |
| 0.85 | 205 | 0.528 | 0.965 | 0.682 | 0.713 | 0.721 | 0.714 | 0.686 | 0.786 | 0.731 | 0.728 | 0.779 | 0.750 |
| 0.80 | 163 | 0.526 | 0.965 | 0.681 | 0.701 | 0.732 | 0.714 | 0.698 | 0.791 | 0.741 | 0.711 | 0.740 | 0.723 |
| 0.75 | 130 | 0.528 | 0.965 | 0.682 | 0.700 | 0.740 | 0.717 | 0.672 | 0.771 | 0.717 | 0.712 | 0.744 | 0.725 |
| 0.70 | 102 | 0.532 | 0.961 | 0.685 | 0.686 | 0.721 | 0.700 | 0.665 | 0.771 | 0.714 | 0.681 | 0.736 | 0.706 |
| 0.65 | 80 | 0.536 | 0.950 | 0.685 | 0.699 | 0.725 | 0.710 | 0.670 | 0.764 | 0.713 | 0.703 | 0.736 | 0.717 |
| 0.60 | 62 | 0.546 | 0.930 | 0.688 | 0.692 | 0.702 | 0.693 | 0.678 | 0.752 | 0.712 | 0.687 | 0.713 | 0.698 |
Note: Performance of shaded region is not significantly different from the top overall model (i.e., F1 of 77.4%).