Table 2 Performance Statistics for MCF7-Trained Candidate High Performance Classifiers
From: Predicting molecular initiating events using chemical target annotations and gene expression
MIE Name | Classification Algorithm | Internal Accuracy | Holdout Accuracy | MIE Active Profiles | MIE Active Chemicals | Mean Null Accuracy | Empirical p-value |
|---|---|---|---|---|---|---|---|
ADRA2A (+) | SVM_R | 0.72 | 0.86 | 58 | 7 | 0.60 | 0.03 |
ALOX5 (−) | NB | 0.73 | 0.55 | 51 | 5 | 0.61 | 0.01 |
AR (+) | NB | 0.71 | 0.60 | 52 | 8 | 0.61 | 0.03 |
DRD2 (−) | SVM_R | 0.68 | 0.54 | 118 | 14 | 0.58 | 0.03 |
ESR-1/2 (−) | MLP | 0.89 | 0.92 | 68 | 5 | 0.69 | 0.00 |
ESR-1/2 (+) | SVM_L | 0.85 | 0.79 | 145 | 12 | 0.64 | 0.00 |
FLT1/KDR (−) | MLP | 0.75 | 0.69 | 122 | 10 | 0.66 | 0.02 |
HDAC (−) | SVM_L | 0.82 | 0.78 | 174 | 10 | 0.67 | 0.00 |
HMGCR (−) | MLP | 0.79 | 0.85 | 50 | 4 | 0.66 | 0.03 |
HRH1 (−) | MLP | 0.71 | 0.61 | 110 | 14 | 0.61 | 0.01 |
JAK2 (−) | SVM_L | 0.88 | 0.85 | 54 | 5 | 0.71 | 0.01 |
KCNH2 (−) | SVM_R | 0.66 | 0.64 | 369 | 34 | 0.58 | 0.00 |
MAPK14 (−) | SVM_L | 0.86 | 0.93 | 78 | 5 | 0.73 | 0.03 |
MET (−) | SVM_L | 0.83 | 0.70 | 114 | 7 | 0.70 | 0.01 |
MTOR/PI3K (−) | SVM_R | 0.90 | 0.88 | 204 | 12 | 0.70 | 0.00 |
NR3C1 (+) | SVM_R | 0.73 | 0.68 | 100 | 10 | 0.60 | 0.01 |
PTGS-1/2 (−) | SVM_R | 0.65 | 0.65 | 247 | 28 | 0.58 | 0.00 |
SLC22A6 (−) | KNN | 0.70 | 0.64 | 55 | 6 | 0.58 | 0.02 |
TOP2A (−) | SVM_L | 0.88 | 0.87 | 75 | 7 | 0.67 | 0.00 |
TUB (−) | SVM_L | 0.94 | 0.90 | 104 | 8 | 0.59 | 0.00 |