Table 9 K-Fold cross validation results for machine learning models.
From: Enhancing fault detection in new energy vehicles via novel ensemble approach
Model | Mean accuracy | Standard deviation |
|---|---|---|
Logistic Regression | 0.9756 | 0.0070 |
Passive Aggressive | 0.9536 | 0.0112 |
Ridge Classifier | 0.9327 | 0.0083 |
Perceptron | 0.9153 | 0.0189 |
Ensemble GRULogX | 0.9900 | 0.0022 |
