OpenML
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
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Learner classif.rotationForest from package(s) rotationForest.
205 runs0 likes1 downloads1 reach0 impact
Learner classif.sda from package(s) sda.
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Learner classif.dbnDNN from package(s) deepnet.
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Learner classif.LiblineaRL1LogReg from package(s) LiblineaR.
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Learner classif.LiblineaRL2LogReg from package(s) LiblineaR.
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Learner classif.saeDNN from package(s) deepnet.
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Learner classif.bdk from package(s) kohonen.
202 runs0 likes1 downloads1 reach0 impact
Weka implementation of MultilayerPerceptron
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Moa implementation of OzaBoostAdwin
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Learner classif.nnTrain from package(s) deepnet.
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Learner classif.xyf from package(s) kohonen.
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Moa implementation of OzaBagAdwin
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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.
198 runs0 likes2 downloads2 reach198 impact
Moa implementation of WEKAClassifier
197 runs0 likes2 downloads2 reach43 impact
Learner classif.mlp from package(s) RSNNS.
197 runs0 likes1 downloads1 reach0 impact
Zijian Zheng, G. Webb (2000). Lazy Learning of Bayesian Rules. Machine Learning. 4(1):53-84.
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Moa implementation of FIMTDD
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Moa implementation of WEKAClassifier
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Learner classif.qda from package(s) MASS.
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Moa implementation of WEKAClassifier
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Moa implementation of WEKAClassifier
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Moa implementation of RuleClassifier
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Learner classif.J48 from package(s) RWeka.
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Learner classif.IBk from package(s) RWeka.
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Moa implementation of WEKAClassifier
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Learner classif.extraTrees from package(s) extraTrees.
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Learner classif.randomForest from package(s) randomForest.
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Learner classif.bartMachine from package(s) bartMachine.
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Learner classif.rpart from package(s) rpart.
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Learner classif.nodeHarvest from package(s) nodeHarvest.
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Learner classif.sparseLDA from package(s) !sparseLDA, MASS, !elasticnet.
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Moa implementation of AccuracyWeightedEnsemble
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Moa implementation of WeightedEnsemble
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Learner mlr.classif.featureless from package(s) mlr.
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Weka implementation of MultilayerPerceptron
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Mark Hall, Eibe Frank: Combining Naive Bayes and Decision Tables. In: Proceedings of the 21st Florida Artificial Intelligence Society Conference (FLAIRS), 318-319, 2008.
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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.
176 runs0 likes0 downloads0 reach1 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Moa implementation of AccuracyWeightedEnsemble
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Moa implementation of ADACC
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Weka implementation of FilteredClassifier
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Moa implementation of LeveragingBag
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Moa implementation of AccuracyWeightedEnsemble
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Moa implementation of AccuracyWeightedEnsemble
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Moa implementation of AccuracyWeightedEnsemble
167 runs0 likes1 downloads1 reach0 impact
Moa implementation of AccuracyWeightedEnsemble
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Learner classif.avNNet from package(s) nnet.
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Moa implementation of LeveragingBag
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Moa implementation of LeveragingBag
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Moa implementation of HoeffdingOptionTree
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Weka implementation of AttributeSelectedClassifier
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Weka implementation of IterativeClassifierOptimizer
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Learner classif.IBk from package(s) RWeka.
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Learner classif.J48 from package(s) RWeka.
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George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.
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Weka implementation of FilteredClassifier
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Learner classif.pamr from package(s) pamr.
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George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.
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Learner classif.lqa from package(s) lqa.
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Learner classif.plsdaCaret from package(s) caret.
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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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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Learner classif.J48 from package(s) RWeka.
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Weka implementation of FilteredClassifier
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Learner classif.hdrda from package(s) sparsediscrim.
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Learner classif.gbm from package(s) gbm.
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Learner classif.svm from package(s) e1071.
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Learner classif.gbm from package(s) gbm.
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Weka implementation of FilteredClassifier
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Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees. Marc Sumner, Eibe Frank, Mark Hall: Speeding up Logistic Model Tree Induction. In: 9th European Conference on Principles and…
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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.
146 runs0 likes0 downloads0 reach0 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
146 runs0 likes1 downloads1 reach1 impact
Webb, Geoffrey I., Boughton, Janice, Zheng, Fei, Ting, Kai Ming, Salem, Houssam (2012). Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive…
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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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Please use the mlr add-on code https://github.com/HeidiSeibold/sandbox/blob/master/rstuff/openml_newctree/new_ctree_mlr.R and devel partykit package revision 1118:…
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Moa implementation of AccuracyWeightedEnsemble
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Learner classif.svm from package(s) e1071.
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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 AttributeSelectedClassifier
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Weka implementation of FilteredClassifier
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Weka implementation of CostSensitiveClassifier
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Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
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Learner classif.JRip from package(s) RWeka.
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Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement…
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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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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
138 runs0 likes0 downloads0 reach0 impact
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,…
137 runs0 likes2 downloads2 reach118 impact