Table 1 Best combination of pre-processing and machine learning algorithms after 100 repetitions.
Phenotypes | Most selected pre-processing and models | Frequency (100 repeat−1) | |
|---|---|---|---|
Catechins | GC | DT-cubist | 32 |
C | SNV-cubist | 17 | |
CG | DT-RF, OR-cubist | 8 | |
EC | DT-cubist | 18 | |
ECG | DT-cubist | 23 | |
EGC | DT-cubist | 65 | |
EGCG | DT-cubist | 37 | |
EGCG3Me | DT-cubist | 23 | |
Total | DT-cubist | 42 | |
FAAs | Asp | DT-cubist | 23 |
Glu | DT-cubist | 50 | |
Arg | DT-cubist | 25 | |
Thea | DT-cubist | 27 | |
Total | DT-cubist | 34 | |
Caffeine | DT-cubist | 20 | |
