Table 4.
Rank scores of all combinations of preprocessing methods depending on their mean F1-score over the 15-fold cross validation (n = 42).
|
GRF filtering |
Time derivative |
Time normalization |
Data reduction |
Weight normalization |
Classifier | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No | Yes | GRF | ΔtGRF | 11 | 101 | 1001 | TC | TD | PCA | No | Yes | SVM | RFC | MLP | CNN | |
| Score | 18,564 | 22,764 | 22,953 | 18,375 | 10,392 | 15,512 | 15,424 | 14,337 | 6,870 | 20,121 | 20,635 | 20,693 | 11,926 | 12,170 | 10,373 | 6,859 |
| % max |
39.9 | 60.1 | 61.0 | 39.0 | 21.1 | 39.6 | 39.3 | 35.4 | 8.4 | 56.3 | 49.9 | 50.1 | 30.1 | 30.9 | 25.1 | 13.8 |
(1) The total rank score is for each preprocessing step is 41,328. For GRF filtering, time derivative, and weight normalization the minimum rank score is 10,296 (0.0%) and the maximum rank score is 31,032 (100.0%). For time normalization and data reduction the minimum rank score is 4,560 (0.0%) and the maximum is 22,992 (66.7%). For the classifiers the minimum rank score is 2,556 (0%) and the maximum is 18,108 (50.0%). %max: relative rank score of ranks scaled to the interval between the minimum rank score and the maximum total rank score. (2) The rank scores for precision and recall (= accuracy) can be found in Supplementary Tables S4, S5.