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Weka implementation of CostSensitiveClassifier
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Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
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Weka implementation of AttributeSelectedClassifier
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Weka implementation of GreedyStepwise
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Weka implementation of CostSensitiveClassifier
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Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
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Weka implementation of AttributeSelectedClassifier
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Kenji Kira, Larry A. Rendell: A Practical Approach to Feature Selection. In: Ninth International Workshop on Machine Learning, 249-256, 1992. Igor Kononenko: Estimating Attributes: Analysis and…
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Weka implementation of CostSensitiveClassifier
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Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
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Weka implementation of AttributeSelectedClassifier
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Weka implementation of InfoGainAttributeEval
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Weka implementation of CostSensitiveClassifier
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Weka implementation of CostSensitiveClassifier
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Weka implementation of AttributeSelectedClassifier
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Weka implementation of GainRatioAttributeEval
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
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Weka implementation of CostSensitiveClassifier
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Weka implementation of AttributeSelectedClassifier
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Weka implementation of CostSensitiveClassifier
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
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Weka implementation of CostSensitiveClassifier
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Weka implementation of CostSensitiveClassifier
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example implementation description
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Learner classif.lqa from package(s) lqa.
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Learner classif.mlp from package(s) RSNNS.
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Learner classif.multinom from package(s) nnet.
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Learner classif.naiveBayes from package(s) e1071.
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Learner classif.neuralnet from package(s) neuralnet.
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Learner classif.ada from package(s) ada.
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Learner classif.avNNet from package(s) nnet.
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Learner classif.bartMachine from package(s) bartMachine.
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Learner classif.J48 from package(s) RWeka.
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Learner classif.JRip from package(s) RWeka.
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Learner classif.IBk from package(s) RWeka.
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Learner classif.LiblineaRL1LogReg from package(s) LiblineaR.
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Learner classif.bdk from package(s) kohonen.
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J.H. Friedman (1999). Stochastic Gradient Boosting.
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Weka implementation of AttributeSelectedClassifier
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J.H. Friedman (1999). Stochastic Gradient Boosting.
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Weka implementation of AttributeSelectedClassifier
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Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
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Learner classif.randomForest from package(s) randomForest.
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Moa implementation of OzaBag
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Moa implementation of HoeffdingTree
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Moa implementation of BLAST
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Moa implementation of WeightedEnsemble
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Learner classif.LiblineaRL2LogReg from package(s) LiblineaR.
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Learner classif.OneR from package(s) RWeka.
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Learner classif.PART from package(s) RWeka.
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Learner classif.ada from package(s) ada.
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Learner classif.avNNet from package(s) nnet.
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Learner classif.bartMachine from package(s) bartMachine.
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Learner classif.bdk from package(s) kohonen.
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Learner classif.binomial from package(s) stats.
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Learner classif.boosting from package(s) adabag, rpart.
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Learner classif.cforest from package(s) party.
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Learner classif.ctree from package(s) party.
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Learner classif.dbnDNN from package(s) deepnet.
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Learner classif.extraTrees from package(s) extraTrees.
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Learner classif.gbm from package(s) gbm.
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Learner classif.hdrda from package(s) sparsediscrim.
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Learner classif.ksvm from package(s) kernlab.
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Learner classif.lda from package(s) MASS.
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Learner classif.logreg from package(s) stats.
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Learner classif.lqa from package(s) lqa.
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Learner classif.mlp from package(s) RSNNS.
5 runs0 likes1 downloads1 reach0 impact
Learner classif.multinom from package(s) nnet.
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Learner classif.naiveBayes from package(s) e1071.
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Learner classif.neuralnet from package(s) neuralnet.
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Learner classif.nnTrain from package(s) deepnet.
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Learner classif.nnet from package(s) nnet.
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Learner classif.nodeHarvest from package(s) nodeHarvest.
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Learner classif.pamr from package(s) pamr.
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Learner classif.plr from package(s) stepPlr.
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Learner classif.plsdaCaret from package(s) caret.
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Learner classif.probit from package(s) stats.
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Learner classif.qda from package(s) MASS.
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Learner classif.randomForestSRC from package(s) randomForestSRC.
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Learner classif.ranger from package(s) ranger.
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Learner classif.rda from package(s) klaR.
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Learner classif.rotationForest from package(s) rotationForest.
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Learner classif.saeDNN from package(s) deepnet.
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Learner classif.sda from package(s) sda.
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Learner classif.svm from package(s) e1071.
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Learner classif.xgboost from package(s) xgboost.
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Learner classif.xyf from package(s) kohonen.
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J. Platt: Fast Training of Support Vector Machines using Sequential Minimal Optimization. In B. Schoelkopf and C. Burges and A. Smola, editors, Advances in Kernel Methods - Support Vector Learning,…
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Weka implementation of RBFKernel
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Weka implementation of HMM
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Weka implementation of ReplaceMissingValues
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H. Zhang, L. Jiang, J. Su: Hidden Naive Bayes. In: Twentieth National Conference on Artificial Intelligence, 919-924, 2005.
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G. Webb, J. Boughton, Z. Wang (2005). Not So Naive Bayes: Aggregating One-Dependence Estimators. Machine Learning. 58(1):5-24.
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Weka implementation of BayesNet
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G.F. Cooper, E. Herskovits (1990). A Bayesian method for constructing Bayesian belief networks from databases. G. Cooper, E. Herskovits (1992). A Bayesian method for the induction of probabilistic…
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Weka implementation of AttributeSelectedClassifier
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