Table 2.
Classification Accuracy and Area Under Receiver Operating Characteristic (ROC) Curve (AUC) Performance of the Classifiers for Predicting MPH Response
| Support Vector Machine | J48 | Random Forest | Logistic Ridge Regression | |||||
|---|---|---|---|---|---|---|---|---|
| Accuracy | AUC | Accuracy | AUC | Accuracy | AUC | Accuracy | AUC | |
| Stage 1 | 64.1% | 0.55 | 61.5% | 0.51 | 61.5% | 0.58 | 66.7% | 0.61 |
| Stage 2 | 70.5% | 0.69 | 62.8% | 0.56 | 66.7% | 0.59 | 65.4% | 0.65 |
| Stage 3 | 74.4% | 0.69 | 68.0% | 0.55 | 66.7% | 0.64 | 73.1% | 0.70 |
| Stage 4 | 84.6% | 0.84 | 69.2% | 0.61 | 73.1% | 0.79 | 76.9% | 0.73 |
Abbreviation: MPH, methylphenidate.
Stage 1: demographics.
Stage 2: stage 1 + clinical information.
Stage 3: stage 2 + neuropsychological measures.
Stage 4: stage 3 + genetic/environmental/neuroimaging measures.