OpenML
Automatically created scikit-learn flow.
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Learner mlr.regr.rpart.dummied from package(s) rpart.
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Ludmila I. Kuncheva (2004). Combining Pattern Classifiers: Methods and Algorithms. John Wiley and Sons, Inc.. J. Kittler, M. Hatef, Robert P.W. Duin, J. Matas (1998). On combining classifiers. IEEE…
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J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
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Automatically created scikit-learn flow.
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Learner mlr.classif.ranger from package(s) ranger.
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Learner mlr.classif.ranger from package(s) ranger.
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Weka implementation of RBFNetwork
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Weka implementation of FilteredClassifier
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Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall: Multiclass alternating decision trees. In: ECML, 161-172, 2001.
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Jerzy Stefanowski: The rough set based rule induction technique for classification problems. In: 6th European Congress on Intelligent Techniques and Soft Computing, 109-113, 1998.
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Learner mlr.classif.J48 from package RWeka optimized by a Genetic Algorithm technique from package GA.
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Learner mlr.classif.ranger from package(s) ranger.
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Learner mlr.classif.h2o.randomForest from package(s) h2o.
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Learner mlr.classif.svm from package(s) e1071.
74430 runs0 likes1 downloads1 reach72140 impact
Automatically created scikit-learn flow.
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A Weka KnowledgeFlow using ReplaceMissingValues-PKIDiscretize-NaiveBayes.kf
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Weka implementation of SimpleLinearRegression
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Weka implementation of LinearRegression
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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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Geoffrey Holmes, Mark Hall, Eibe Frank: Generating Rule Sets from Model Trees. In: Twelfth Australian Joint Conference on Artificial Intelligence, 1-12, 1999. Ross J. Quinlan: Learning with Continuous…
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Ross J. Quinlan: Learning with Continuous Classes. In: 5th Australian Joint Conference on Artificial Intelligence, Singapore, 343-348, 1992. Y. Wang, I. H. Witten: Induction of model trees for…
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David J.C. Mackay (1998). Introduction to Gaussian Processes. Dept. of Physics, Cambridge University, UK.
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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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Weka implementation of FilteredClassifier
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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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Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou: Isolation Forest. In: ICDM, 413-422, 2008.
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S. Shalev-Shwartz, Y. Singer, N. Srebro: Pegasos: Primal Estimated sub-GrAdient SOlver for SVM. In: 24th International Conference on MachineLearning, 807-814, 2007.
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Learner classif.IBk from package(s) RWeka.
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Learner classif.JRip from package(s) RWeka.
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Learner classif.J48 from package(s) RWeka.
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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.OneR from package(s) RWeka.
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Learner classif.PART from package(s) RWeka.
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Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
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Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
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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.probit from package(s) stats.
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Learner classif.qda from package(s) MASS.
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Learner classif.randomForest from package(s) randomForest.
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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.dbnDNN from package(s) deepnet.
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Learner classif.extraTrees from package(s) extraTrees.
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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.
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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.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.sda from package(s) sda.
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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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Learner classif.boosting from package(s) adabag, rpart.
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Learner classif.glmnet from package(s) !glmnet.
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Learner classif.kknn from package(s) !kknn.
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Learner classif.mda from package(s) !mda.
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Learner classif.sparseLDA from package(s) !sparseLDA, MASS, !elasticnet.
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Learner classif.blackboost from package(s) mboost, party.
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Learner classif.plsdaCaret from package(s) caret.
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Learner classif.randomForestSRC from package(s) randomForestSRC.
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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.avNNet from package(s) nnet.
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Learner classif.glmboost from package(s) mboost.
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Learner classif.PART from package(s) RWeka.
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Learner classif.logreg from package(s) stats.
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Learner classif.mda from package(s) !mda.
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Learner classif.qda from package(s) MASS.
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Learner classif.rotationForest from package(s) rotationForest.
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Learner classif.xgboost from package(s) xgboost.
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Learner classif.ranger from package(s) ranger.
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Learner classif.glmnet from package(s) !glmnet.
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Learner classif.ctree from package(s) party.
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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.lqa from package(s) lqa.
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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.mlp from package(s) RSNNS.
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Learner classif.pamr from package(s) pamr.
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Learner classif.binomial from package(s) stats.
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