Tabular Classification on Pima Diabetes (full data)
85.71AccuracyChainzRule
Evaluation results
| Method | Links | |
|---|---|---|
| ChainzRuleSetup=Tabular features, Training Samples=6142026.06 | 85.71 | |
| XGBoost / RFSetup=Tabular features, Training Samples=6142026.06 | 82.35 | |
| SVM (Region-based)Setup=Tabular features, Training Samples=6142026.06 | 82.2 | |
| Naïve Bayes / RF / J48Setup=Tabular features, Training Samples=6142026.06 | 80 | |
| AMNN + KAN + XGBoostSetup=Tabular + SMOTE, Training Samples=6142026.06 | 75.76 |