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| AdaBoostM1 | R/Weka Meta Learners |
| Apriori | R/Weka Associators |
| as.character.Weka_control | Control Weka Options |
| Bagging | R/Weka Meta Learners |
| Cobweb | R/Weka Clusterers |
| DBScan | R/Weka Clusterers |
| DecisionStump | R/Weka Classifier Trees |
| Discretize | R/Weka Filters |
| evaluate_Weka_classifier | Model Statistics for R/Weka Classifiers |
| FarthestFirst | R/Weka Clusterers |
| fitted.Weka_classifier | Model Predictions for R/Weka Classifiers |
| IBk | R/Weka Lazy Learners |
| J48 | R/Weka Classifier Trees |
| JRip | R/Weka Rule Learners |
| LBR | R/Weka Lazy Learners |
| LinearRegression | R/Weka Classifier Functions |
| list_Weka_interfaces | R/Weka interfaces |
| LMT | R/Weka Classifier Trees |
| Logistic | R/Weka Classifier Functions |
| LogitBoost | R/Weka Meta Learners |
| M5P | R/Weka Classifier Trees |
| M5Rules | R/Weka Rule Learners |
| make_Weka_associator | R/Weka interfaces |
| make_Weka_classifier | R/Weka interfaces |
| make_Weka_clusterer | R/Weka interfaces |
| make_Weka_filter | R/Weka interfaces |
| MultiBoostAB | R/Weka Meta Learners |
| Normalize | R/Weka Filters |
| OneR | R/Weka Rule Learners |
| PART | R/Weka Rule Learners |
| plot.Weka_tree | R/Weka Classifier Trees |
| predict.Weka_classifier | Model Predictions for R/Weka Classifiers |
| predict.Weka_clusterer | Class Predictions for R/Weka Clusterers |
| print.Weka_control | Control Weka Options |
| read.arff | Read Data from ARFF Files |
| SimpleKMeans | R/Weka Clusterers |
| SMO | R/Weka Classifier Functions |
| Stacking | R/Weka Meta Learners |
| Tertius | R/Weka Associators |
| Weka_control | Control Weka Options |
| WOW | Weka Option Wizard |
| write.arff | Write Data into ARFF Files |
| write_to_dot | Create DOT Representations |