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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 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.
12 runs0 likes1 downloads1 reach0 impact
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.
11 runs0 likes1 downloads1 reach0 impact
Learner classif.naiveBayes from package(s) e1071.
11 runs0 likes1 downloads1 reach0 impact
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.
11 runs0 likes1 downloads1 reach0 impact
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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