Binary Classification on a18-9 (5-fold cross-val)
92.9558Mean AUCResNet
Evaluation results
| Method | Links | |
|---|---|---|
| ResNetcross-validation=5-fold nested, hyperparameter_tuning=Bayesian Optimization, architecture=[8]2025.12 | 92.9558 | |
| SVMcross-validation=5-fold nested, hyperparameter_tuning=Bayesian Optimization, library=Scikit-learn2025.12 | 92.0189 | |
| SSV-oriented Chipclasscross-validation=5-fold nested, hyperparameter_tuning=Bayesian Optimization2025.12 | 85.8953 | |
| XGBoostcross-validation=5-fold nested, hyperparameter_tuning=Bayesian Optimization2025.12 | 81.0135 | |
| Random Forestcross-validation=5-fold nested, hyperparameter_tuning=Bayesian Optimization, library=Scikit-learn2025.12 | 80.5609 | |
| LightGBMcross-validation=5-fold nested, hyperparameter_tuning=Bayesian Optimization2025.12 | 79.5674 | |
| kNNcross-validation=5-fold nested, hyperparameter_tuning=Bayesian Optimization, library=Scikit-learn2025.12 | 72.3743 |