OpenML
Learner classif.plsdaCaret from package(s) caret.
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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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Moa implementation of WeightedMajorityAlgorithm
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Learner regr.rpart from package(s) rpart.
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Learner classif.IBk from package(s) RWeka.
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Learner classif.IBk from package(s) RWeka.
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Learner classif.JRip from package(s) RWeka.
65 runs0 likes1 downloads1 reach0 impact
Learner classif.J48 from package(s) RWeka.
65 runs0 likes1 downloads1 reach0 impact
Learner classif.dbnDNN from package(s) deepnet.
1179 runs0 likes1 downloads1 reach0 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
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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.
230 runs0 likes1 downloads1 reach0 impact
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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Weka implementation of CostSensitiveClassifier
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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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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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M. A. Hall (1998). Correlation-based Feature Subset Selection for Machine Learning. Hamilton, New Zealand.
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Weka implementation of BestFirst
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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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Weka implementation of AttributeSelectedClassifier
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J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
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…
0 runs0 likes0 downloads0 reach0 impact
Learner classif.gbm from package(s) gbm.
11 runs0 likes2 downloads2 reach0 impact
Learner classif.ksvm from package(s) kernlab.
4 runs0 likes1 downloads1 reach0 impact
Learner classif.multinom from package(s) nnet.
2 runs0 likes1 downloads1 reach0 impact
Learner classif.naiveBayes from package(s) e1071.
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Learner classif.nodeHarvest from package(s) nodeHarvest.
5 runs0 likes1 downloads1 reach0 impact
Learner classif.probit from package(s) stats.
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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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J.H. Friedman (1999). Stochastic Gradient Boosting.
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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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Ron Kohavi, George H. John (1997). Wrappers for feature subset selection. Artificial Intelligence. 97(1-2):273-324.
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Weka implementation of CostSensitiveClassifier
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David J.C. Mackay (1998). Introduction to Gaussian Processes. Dept. of Physics, Cambridge University, UK.
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Weka implementation of PolyKernel
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Weka implementation of CostSensitiveClassifier
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Weka implementation of RandomCommittee
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Learner classif.LiblineaRL1LogReg from package(s) LiblineaR.
12 runs0 likes1 downloads1 reach0 impact
Learner classif.LiblineaRL2LogReg from package(s) LiblineaR.
8 runs0 likes1 downloads1 reach0 impact
Learner classif.OneR from package(s) RWeka.
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Learner classif.PART from package(s) RWeka.
20 runs0 likes1 downloads1 reach0 impact
Learner classif.ada from package(s) ada.
19 runs0 likes1 downloads1 reach0 impact
Learner classif.avNNet from package(s) nnet.
20 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
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Ron Kohavi, George H. John (1997). Wrappers for feature subset selection. Artificial Intelligence. 97(1-2):273-324.
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Weka implementation of CostSensitiveClassifier
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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.
8 runs0 likes1 downloads1 reach0 impact
Learner classif.multinom from package(s) nnet.
20 runs0 likes1 downloads1 reach0 impact
Pedro Domingos: MetaCost: A general method for making classifiers cost-sensitive. In: Fifth International Conference on Knowledge Discovery and Data Mining, 155-164, 1999.
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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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Weka implementation of CostSensitiveClassifier
2 runs0 likes1 downloads1 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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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 RandomCommittee
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Weka implementation of AttributeSelectedClassifier
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Weka implementation of PrincipalComponents
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Weka implementation of Ranker
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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
3 runs0 likes1 downloads1 reach0 impact
Weka implementation of CostSensitiveClassifier
0 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.
0 runs0 likes0 downloads0 reach0 impact
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.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
1 runs0 likes1 downloads1 reach0 impact
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.
0 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.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
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
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 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.
0 runs0 likes0 downloads0 reach0 impact
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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