Weighted Subspace Random Forest for Classification
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Documentation for package ‘wsrf’ version 1.7.30
Help Pages
| combine | Combine Ensembles of Trees |
| combine.wsrf | Combine Ensembles of Trees |
| correlation | Correlation |
| correlation.wsrf | Correlation |
| importance | Extract Variable Importance Measure |
| importance.wsrf | Extract Variable Importance Measure |
| oob.error.rate | Out-of-Bag Error Rate |
| oob.error.rate.wsrf | Out-of-Bag Error Rate |
| predict | Predict Method for 'wsrf' Model |
| predict.wsrf | Predict Method for 'wsrf' Model |
| Print Method for 'wsrf' Model | |
| print.wsrf | Print Method for 'wsrf' Model |
| strength | Strength |
| strength.wsrf | Strength |
| subset | Subset of a Forest |
| subset.wsrf | Subset of a Forest |
| varCounts.wsrf | Number of Times of Variables Selected as Split Condition |
| wsrf | Build a Forest of Weighted Subspace Decision Trees |
| wsrf.default | Build a Forest of Weighted Subspace Decision Trees |
| wsrf.formula | Build a Forest of Weighted Subspace Decision Trees |