OpenML
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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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
175 runs0 likes0 downloads0 reach175 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
175 runs0 likes2 downloads2 reach37 impact
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
167 runs0 likes1 downloads1 reach0 impact
Moa implementation of AccuracyWeightedEnsemble
167 runs0 likes1 downloads1 reach0 impact
Moa implementation of AccuracyWeightedEnsemble
167 runs0 likes1 downloads1 reach0 impact
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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Weka implementation of FilteredClassifier
159 runs0 likes0 downloads0 reach142 impact
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.pamr from package(s) pamr.
157 runs0 likes1 downloads1 reach0 impact
Learner classif.plsdaCaret from package(s) caret.
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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.
153 runs0 likes1 downloads1 reach151 impact
Learner classif.lqa from package(s) lqa.
153 runs0 likes1 downloads1 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,…
152 runs0 likes0 downloads0 reach141 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
152 runs0 likes1 downloads1 reach152 impact
Weka implementation of FilteredClassifier
150 runs0 likes0 downloads0 reach0 impact
Learner classif.J48 from package(s) RWeka.
150 runs0 likes1 downloads1 reach0 impact
Learner classif.hdrda from package(s) sparsediscrim.
149 runs0 likes1 downloads1 reach0 impact
Weka implementation of FilteredClassifier
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Learner classif.gbm from package(s) gbm.
148 runs0 likes3 downloads3 reach20 impact
Learner classif.gbm from package(s) gbm.
148 runs0 likes1 downloads1 reach0 impact
Learner classif.svm from package(s) e1071.
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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.
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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 likes1 downloads1 reach1 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
145 runs0 likes0 downloads0 reach0 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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Automatically created scikit-learn flow.
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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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Learner classif.svm from package(s) e1071.
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Moa implementation of AccuracyWeightedEnsemble
143 runs0 likes1 downloads1 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
141 runs0 likes1 downloads1 reach140 impact
Weka implementation of CostSensitiveClassifier
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Learner classif.JRip from package(s) RWeka.
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Weka implementation of AttributeSelectedClassifier
140 runs0 likes0 downloads0 reach3 impact
Weka implementation of AttributeSelectedClassifier
140 runs0 likes1 downloads1 reach0 impact
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
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Weka implementation of FilteredClassifier
140 runs0 likes0 downloads0 reach17 impact
Learner classif.OneR from package(s) RWeka.
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Learner classif.PART from package(s) RWeka.
139 runs0 likes1 downloads1 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
138 runs0 likes0 downloads0 reach3 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
138 runs0 likes0 downloads0 reach0 impact
Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark Hall: Racing committees for large datasets. In: Proceedings of the 5th International Conferenceon Discovery Science, 153-164, 2002.
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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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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
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
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Lin Dong, Eibe Frank, Stefan Kramer: Ensembles of Balanced Nested Dichotomies for Multi-class Problems. In: PKDD, 84-95, 2005. Eibe Frank, Stefan Kramer: Ensembles of nested dichotomies for…
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R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
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Learner classif.randomForestSRC from package(s) randomForestSRC.
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Weka implementation of AttributeSelectedClassifier
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E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
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Weka implementation of FilteredClassifier
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Tin Kam Ho (1998). The Random Subspace Method for Constructing Decision Forests. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(8):832-844. URL…
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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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Automatically created scikit-learn flow.
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Eibe Frank, Mark Hall, Bernhard Pfahringer: Locally Weighted Naive Bayes. In: 19th Conference in Uncertainty in Artificial Intelligence, 249-256, 2003. C. Atkeson, A. Moore, S. Schaal (1996). Locally…
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Eibe Frank, Mark Hall, Bernhard Pfahringer: Locally Weighted Naive Bayes. In: 19th Conference in Uncertainty in Artificial Intelligence, 249-256, 2003. C. Atkeson, A. Moore, S. Schaal (1996). Locally…
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Weka implementation of RandomCommittee
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Learner classif.kknn from package(s) !kknn.
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Learner classif.rda from package(s) klaR.
134 runs0 likes1 downloads1 reach0 impact
Weka implementation of FilteredClassifier
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Learner classif.avNNet from package(s) nnet.
133 runs0 likes3 downloads3 reach12 impact
Learner classif.ranger from package(s) ranger.
132 runs0 likes1 downloads1 reach0 impact
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
132 runs0 likes1 downloads1 reach131 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
131 runs0 likes0 downloads0 reach2 impact
Learner classif.glmnet from package(s) !glmnet.
131 runs0 likes1 downloads1 reach0 impact
Learner classif.naiveBayes from package(s) e1071.
131 runs0 likes3 downloads3 reach2 impact
Moa implementation of BLAST
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Learner classif.neuralnet from package(s) neuralnet.
131 runs0 likes1 downloads1 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Learner classif.ksvm from package(s) kernlab.
129 runs0 likes2 downloads2 reach1 impact
Weka implementation of RandomTree
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Automatically created scikit-learn flow.
128 runs0 likes0 downloads0 reach0 impact
Moa implementation of MajorityVoteEnsemble
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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.
127 runs0 likes3 downloads3 reach105 impact
Jason D. Rennie, Lawrence Shih, Jaime Teevan, David R. Karger: Tackling the Poor Assumptions of Naive Bayes Text Classifiers. In: ICML, 616-623, 2003.
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Weka implementation of MultiClassClassifierUpdateable
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Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
126 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
126 runs0 likes0 downloads0 reach61 impact
Learner mlr.classif.naiveBayes.preproc.preproc from package(s) e1071.
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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,…
126 runs0 likes0 downloads0 reach8 impact
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
126 runs0 likes1 downloads1 reach0 impact
Moa implementation of kNN
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Moa implementation of SGD
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Moa implementation of SPegasos
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William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
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Weka implementation of DecisionStump
126 runs0 likes3 downloads3 reach97 impact