The results of application of the machine learning methods to the initial ECFP6 fingerprints and to the 2D mapped space (multiclass classification).
Descriptor set | ML method | Accuracy | |
---|---|---|---|
GPCR ligands | NR ligands | ||
ECFP6 descriptors | kNN | 0.829 | 0.526 |
SVM | 0.821 | 0.549 | |
XGBoost | 0.821 | 0.540 | |
Random forest | 0.788 | 0.537 | |
pTSNE mapping (2D space) | kNN | 0.763 | 0.383 |
SVM | 0.704 | 0.336 | |
XGBoost | 0.764 | 0.394 | |
Random forest | 0.745 | 0.360 | |
PCA mapping (2 components) | kNN | 0.739 | 0.296 |
SVM | 0.735 | 0.345 | |
XGBoost | 0.743 | 0.360 | |
Random forest | 0.735 | 0.349 | |
MDS mapping (2D space) | kNN | 0.725 | 0.326 |
SVM | 0.543 | 0.250 | |
XGBoost | 0.712 | 0.333 | |
Random forest | 0.707 | 0.328 |