Table 3 Overall accuracy achieved on main dataset, developed using different WEKA methods. Single label was predicted for each substrate and performance evaluated using five-fold cross-validation techniques
From: Prediction of cytochrome P450 isoform responsible for metabolizing a drug molecule
Methods | Overall accuracy (percent) |
|---|---|
Random Forest | 69.47 |
SMOreg | 69.03 |
Rotation Forest | 68.58 |
Simple logistic | 66.37 |
BayesNet | 65.04 |
REPTree | 64.60 |
RBF network | 64.16 |
Multilayer perceptron | 62.39 |
IB1 (tree) | 58.41 |
NaïveBayes | 57.96 |
KStar (tree) | 56.20 |
Logistic equation | 51.77 |