Table 8 Evaluation results of logistic regression.
Model | Dataset | Sampler | Noise | Accuracy (meanÂ ± std) | Precision (meanÂ ± std) | Recall (meanÂ ± std) | F1 (meanÂ ± std) | Avg Time (s) |
|---|---|---|---|---|---|---|---|---|
LogisticRegression | IRIS | SMOTE | 0 | 0.9889 Â ± 0.0157 | 0.9899 Â ± 0.0143 | 0.9889 Â ± 0.0157 | 0.9889 Â ± 0.0158 | 0.4 |
LogisticRegression | IRIS | SMOTE | 0.01 | 0.9778 Â ± 0.0157 | 0.9798 Â ± 0.0143 | 0.9778 Â ± 0.0157 | 0.9777 Â ± 0.0158 | 0.44 |
LogisticRegression | IRIS | ADASYN | 0 | 0.9889 Â ± 0.0157 | 0.9899 Â ± 0.0143 | 0.9889 Â ± 0.0157 | 0.9889 Â ± 0.0158 | 0.51 |
LogisticRegression | IRIS | ADASYN | 0.01 | 0.9778 Â ± 0.0157 | 0.9798 Â ± 0.0143 | 0.9778 Â ± 0.0157 | 0.9777 Â ± 0.0158 | 0.38 |
LogisticRegression | WINE | SMOTE | 0 | 0.9815 Â ± 0.0262 | 0.9846 Â ± 0.0218 | 0.9815 Â ± 0.0262 | 0.9816 Â ± 0.0260 | 0.37 |
LogisticRegression | WINE | SMOTE | 0.01 | 0.9722 Â ± 0.0227 | 0.9759 Â ± 0.0189 | 0.9722 Â ± 0.0227 | 0.9723 Â ± 0.0225 | 0.42 |
LogisticRegression | WINE | ADASYN | 0 | 0.9630 Â ± 0.0131 | 0.9675 Â ± 0.0098 | 0.9630 Â ± 0.0131 | 0.9631 Â ± 0.0129 | 0.43 |
LogisticRegression | WINE | ADASYN | 0.01 | 0.9722 Â ± 0.0227 | 0.9759 Â ± 0.0189 | 0.9722 Â ± 0.0227 | 0.9723 Â ± 0.0225 | 0.51 |
LogisticRegression | BREAST_CANCER | SMOTE | 0 | 0.9649 Â ± 0.0072 | 0.9658 Â ± 0.0079 | 0.9649 Â ± 0.0072 | 0.9650 Â ± 0.0073 | 0.54 |
LogisticRegression | BREAST_CANCER | SMOTE | 0.01 | 0.9678 Â ± 0.0041 | 0.9688 Â ± 0.0047 | 0.9678 Â ± 0.0041 | 0.9679 Â ± 0.0042 | 0.48 |
LogisticRegression | BREAST_CANCER | ADASYN | 0 | 0.9503 Â ± 0.0041 | 0.9526 Â ± 0.0038 | 0.9503 Â ± 0.0041 | 0.9505 Â ± 0.0040 | 0.4 |
LogisticRegression | BREAST_CANCER | ADASYN | 0.01 | 0.9532 Â ± 0.0041 | 0.9549 Â ± 0.0056 | 0.9532 Â ± 0.0041 | 0.9534 Â ± 0.0043 | 0.49 |
LogisticRegression | PIMA | SMOTE | 0 | 0.7749 Â ± 0.0251 | 0.7868 Â ± 0.0273 | 0.7749 Â ± 0.0251 | 0.7780 Â ± 0.0249 | 0.46 |
LogisticRegression | PIMA | SMOTE | 0.01 | 0.7771 Â ± 0.0221 | 0.7895 Â ± 0.0238 | 0.7771 Â ± 0.0221 | 0.7803 Â ± 0.0219 | 0.46 |
LogisticRegression | PIMA | ADASYN | 0 | 0.7727 Â ± 0.0140 | 0.7894 Â ± 0.0144 | 0.7727 Â ± 0.0140 | 0.7764 Â ± 0.0134 | 0.37 |
LogisticRegression | PIMA | ADASYN | 0.01 | 0.7814 Â ± 0.0201 | 0.7965 Â ± 0.0173 | 0.7814 Â ± 0.0201 | 0.7848 Â ± 0.0192 | 0.4 |
LogisticRegression | HAR | SMOTE | 0 | 0.9600 Â ± 0.0071 | 0.9606 Â ± 0.0067 | 0.9600 Â ± 0.0071 | 0.9600 Â ± 0.0070 | 26.67 |
LogisticRegression | HAR | SMOTE | 0.01 | 0.9542 Â ± 0.0096 | 0.9547 Â ± 0.0092 | 0.9542 Â ± 0.0096 | 0.9543 Â ± 0.0095 | 26.44 |