Binary Classification on Abalone 1%
5.6PR AUCMGS (d + 1)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MGS (d + 1)Strategy=MGS, Classifier=Random Forest, Tree Depth Tuning=PR AUC2024.02 | 5.6 | 0.014 | |
| Forest DiffStrategy=Forest Diff, Classifier=Random Forest, Tree Depth Tuning=PR AUC2024.02 | 5.6 | 0.006 | |
| CWStrategy=CW, Classifier=Random Forest, Tree Depth Tuning=PR AUC2024.02 | 5.5 | 0.009 | |
| RUSStrategy=RUS, Classifier=Random Forest, Tree Depth Tuning=PR AUC2024.02 | 5.2 | 0.017 | |
| ROSStrategy=ROS, Classifier=Random Forest, Tree Depth Tuning=PR AUC2024.02 | 5.2 | 0.011 | |
| SMOTE K-tunedStrategy=SMOTE K-tuned, Classifier=Random Forest, Tree Depth Tuning=PR AUC2024.02 | 5.1 | 0.012 | |
| CT GANStrategy=CT GAN, Classifier=Random Forest, Tree Depth Tuning=PR AUC2024.02 | 5 | 0.016 | |
| NoneStrategy=None, Classifier=Random Forest, Tree Depth Tuning=PR AUC2024.02 | 4.8 | 0.006 | |
| SMOTEStrategy=SMOTE, Classifier=Random Forest, Tree Depth Tuning=PR AUC2024.02 | 4.6 | 0.011 | |
| BS1Strategy=BS1, Classifier=Random Forest, Tree Depth Tuning=PR AUC2024.02 | 4.4 | 0.008 | |
| BS2Strategy=BS2, Classifier=Random Forest, Tree Depth Tuning=PR AUC2024.02 | 3.9 | 0.006 | |
| NM1Strategy=NM1, Classifier=Random Forest, Tree Depth Tuning=PR AUC2024.02 | 2.4 | 0.007 | |
| MGS (d + 1)Model=Random Forest, Hyperparameter Tuning=Tree depth tuned on PR AUC2024.02 | 0.056 | — | |
| Forest DiffModel=Random Forest, Hyperparameter Tuning=Tree depth tuned on PR AUC2024.02 | 0.056 | — | |
| CWModel=Random Forest, Hyperparameter Tuning=Tree depth tuned on PR AUC2024.02 | 0.055 | — | |
| RUSModel=Random Forest, Hyperparameter Tuning=Tree depth tuned on PR AUC2024.02 | 0.052 | — | |
| ROSModel=Random Forest, Hyperparameter Tuning=Tree depth tuned on PR AUC2024.02 | 0.052 | — | |
| SMOTE K-tunedModel=Random Forest, Hyperparameter Tuning=Tree depth tuned on PR AUC2024.02 | 0.051 | — | |
| CT GANModel=Random Forest, Hyperparameter Tuning=Tree depth tuned on PR AUC2024.02 | 0.05 | — | |
| NoneModel=Random Forest, Hyperparameter Tuning=Tree depth tuned on PR AUC2024.02 | 0.048 | — | |
| SMOTEModel=Random Forest, Hyperparameter Tuning=Tree depth tuned on PR AUC2024.02 | 0.046 | — | |
| BS1Model=Random Forest, Hyperparameter Tuning=Tree depth tuned on PR AUC2024.02 | 0.044 | — | |
| BS2Model=Random Forest, Hyperparameter Tuning=Tree depth tuned on PR AUC2024.02 | 0.039 | — | |
| NM1Model=Random Forest, Hyperparameter Tuning=Tree depth tuned on PR AUC2024.02 | 0.024 | — |