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Feature Importance On Wine
Metrics
Pearson Correlation
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| Garson Variable Importance | 0.74 | Variance-Based Feature Importance in Neural Networks | - |
| VarImpVIANN | 0.41 | Variance-Based Feature Importance in Neural Networks | - |
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