OpenML
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21333 results
classif.LiblineaRL1LogReg (2)
Learner classif.LiblineaRL1LogReg from package(s) LiblineaR.
12 runs0 likes1 downloads1 reach0 impact
classif.LiblineaRL2LogReg (2)
Learner classif.LiblineaRL2LogReg from package(s) LiblineaR.
8 runs0 likes1 downloads1 reach0 impact
classif.OneR (2)
Learner classif.OneR from package(s) RWeka.
20 runs0 likes1 downloads1 reach0 impact
classif.PART (2)
Learner classif.PART from package(s) RWeka.
20 runs0 likes1 downloads1 reach0 impact
classif.ada (2)
Learner classif.ada from package(s) ada.
19 runs0 likes1 downloads1 reach0 impact
classif.avNNet (2)
Learner classif.avNNet from package(s) nnet.
20 runs0 likes1 downloads1 reach0 impact
weka.AttributeSelectedClassifier_WrapperSubsetEval_ZeroR_BestFirst_CostSensitiveClassifier_AdaBoostM1_REPTree (1)
Weka implementation of AttributeSelectedClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.WrapperSubsetEval_ZeroR (3)
Ron Kohavi, George H. John (1997). Wrappers for feature subset selection. Artificial Intelligence. 97(1-2):273-324.
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_AdaBoostM1_REPTree (2)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_REPTree (4)
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
weka.Bagging_HoeffdingTree (3)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
131 runs0 likes2 downloads2 reach131 impact
classif.lda (7)
Learner classif.lda from package(s) MASS.
20 runs0 likes1 downloads1 reach0 impact
classif.logreg (5)
Learner classif.logreg from package(s) stats.
18 runs0 likes1 downloads1 reach0 impact
classif.lqa (2)
Learner classif.lqa from package(s) lqa.
8 runs0 likes1 downloads1 reach0 impact
classif.mlp (2)
Learner classif.mlp from package(s) RSNNS.
8 runs0 likes1 downloads1 reach0 impact
classif.multinom (2)
Learner classif.multinom from package(s) nnet.
20 runs0 likes1 downloads1 reach0 impact
weka.MetaCost_REPTree (1)
Pedro Domingos: MetaCost: A general method for making classifiers cost-sensitive. In: Fifth International Conference on Knowledge Discovery and Data Mining, 155-164, 1999.
0 runs0 likes0 downloads0 reach0 impact
weka.Bagging_RandomSubSpace_REPTree (2)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2 runs0 likes0 downloads0 reach2 impact
weka.RandomSubSpace_REPTree (7)
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…
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_Bagging_CostSensitiveClassifier_AdaBoostM1_REPTree (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes1 downloads1 reach0 impact
weka.Bagging_CostSensitiveClassifier_AdaBoostM1_REPTree (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_AdaBoostM1_REPTree (3)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_REPTree (5)
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.RandomCommittee_CostSensitiveClassifier_RandomTree (1)
Weka implementation of RandomCommittee
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_RandomTree (2)
Weka implementation of CostSensitiveClassifier
26 runs0 likes0 downloads0 reach26 impact
weka.AttributeSelectedClassifier_PrincipalComponents_Ranker_CostSensitiveClassifier_AdaBoostM1_REPTree (1)
Weka implementation of AttributeSelectedClassifier
1 runs0 likes1 downloads1 reach0 impact
weka.PrincipalComponents (14)
Weka implementation of PrincipalComponents
0 runs0 likes0 downloads0 reach0 impact
weka.Ranker (3)
Weka implementation of Ranker
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_AdaBoostM1_REPTree (4)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_REPTree (6)
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.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_CostSensitiveClassifier_AdaBoostM1_REPTree (1)
Weka implementation of AttributeSelectedClassifier
3 runs0 likes1 downloads1 reach0 impact
weka.CostSensitiveClassifier_AdaBoostM1_REPTree (5)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_REPTree (7)
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.AttributeSelectedClassifier_CfsSubsetEval_GreedyStepwise_CostSensitiveClassifier_AdaBoostM1_REPTree (1)
Weka implementation of AttributeSelectedClassifier
4 runs0 likes1 downloads1 reach0 impact
weka.GreedyStepwise (2)
Weka implementation of GreedyStepwise
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_AdaBoostM1_REPTree (6)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_REPTree (8)
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.AttributeSelectedClassifier_ReliefFAttributeEval_Ranker_CostSensitiveClassifier_AdaBoostM1_REPTree (1)
Weka implementation of AttributeSelectedClassifier
1 runs0 likes1 downloads1 reach0 impact
weka.ReliefFAttributeEval (1)
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…
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_AdaBoostM1_REPTree (7)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_REPTree (9)
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.AttributeSelectedClassifier_InfoGainAttributeEval_Ranker_CostSensitiveClassifier (1)
Weka implementation of AttributeSelectedClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.InfoGainAttributeEval (2)
Weka implementation of InfoGainAttributeEval
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier (1)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_Bagging_JRip (1)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.Bagging_JRip (3)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
266 runs0 likes2 downloads2 reach266 impact
weka.AttributeSelectedClassifier_GainRatioAttributeEval_Ranker_CostSensitiveClassifier (1)
Weka implementation of AttributeSelectedClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.GainRatioAttributeEval (1)
Weka implementation of GainRatioAttributeEval
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_Bagging_RandomTree (1)
Weka implementation of CostSensitiveClassifier
423 runs0 likes1 downloads1 reach426 impact
weka.Bagging_RandomTree (9)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
152 runs0 likes1 downloads1 reach152 impact
weka.Bagging_AdaBoostM1_REPTree (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_REPTree (10)
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.Bagging_CostSensitiveClassifier_RandomTree (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2 runs0 likes0 downloads0 reach2 impact
weka.CostSensitiveClassifier_RandomTree (3)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.Bagging_AttributeSelectedClassifier_CfsSubsetEval_BestFirst_CostSensitiveClassifier (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_CostSensitiveClassifier (1)
Weka implementation of AttributeSelectedClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier (2)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.Bagging_CostSensitiveClassifier_RandomCommittee_RandomTree (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_RandomCommittee_RandomTree (3)
Weka implementation of CostSensitiveClassifier
3 runs0 likes0 downloads0 reach3 impact
weka.RandomCommittee_RandomTree (4)
Weka implementation of RandomCommittee
134 runs0 likes0 downloads0 reach134 impact
weka.AdaBoostM1_CostSensitiveClassifier_REPTree (1)
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.CostSensitiveClassifier_REPTree (6)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_CostSensitiveClassifier_Logistic (1)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_Logistic (2)
Weka implementation of CostSensitiveClassifier
12 runs0 likes0 downloads0 reach12 impact
example_implementation (2)
example implementation description
2 runs0 likes1 downloads1 reach0 impact
classif.lqa (3)
Learner classif.lqa from package(s) lqa.
1 runs0 likes1 downloads1 reach0 impact
classif.mlp (3)
Learner classif.mlp from package(s) RSNNS.
1 runs0 likes1 downloads1 reach0 impact
classif.multinom (3)
Learner classif.multinom from package(s) nnet.
3 runs0 likes1 downloads1 reach0 impact
classif.naiveBayes (3)
Learner classif.naiveBayes from package(s) e1071.
3 runs0 likes1 downloads1 reach0 impact
classif.neuralnet (1)
Learner classif.neuralnet from package(s) neuralnet.
1 runs0 likes1 downloads1 reach0 impact
classif.ada (3)
Learner classif.ada from package(s) ada.
38 runs0 likes1 downloads1 reach0 impact
classif.avNNet (3)
Learner classif.avNNet from package(s) nnet.
23 runs0 likes1 downloads1 reach0 impact
classif.bartMachine (1)
Learner classif.bartMachine from package(s) bartMachine.
17 runs0 likes1 downloads1 reach0 impact
classif.J48 (19)
Learner classif.J48 from package(s) RWeka.
29 runs0 likes1 downloads1 reach0 impact
classif.JRip (6)
Learner classif.JRip from package(s) RWeka.
28 runs0 likes1 downloads1 reach0 impact
classif.IBk (4)
Learner classif.IBk from package(s) RWeka.
27 runs0 likes1 downloads1 reach0 impact
classif.LiblineaRL1LogReg (3)
Learner classif.LiblineaRL1LogReg from package(s) LiblineaR.
13 runs0 likes1 downloads1 reach0 impact
classif.bdk (1)
Learner classif.bdk from package(s) kohonen.
7 runs0 likes1 downloads1 reach0 impact
weka.AdditiveRegression_REPTree (2)
J.H. Friedman (1999). Stochastic Gradient Boosting.
2 runs0 likes1 downloads1 reach0 impact
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_AdditiveRegression_M5P (1)
Weka implementation of AttributeSelectedClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.AdditiveRegression_M5P (1)
J.H. Friedman (1999). Stochastic Gradient Boosting.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_AdaBoostM1_RandomForest (1)
Weka implementation of AttributeSelectedClassifier
1 runs0 likes1 downloads1 reach0 impact
weka.AdaBoostM1_RandomForest (5)
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
classif.randomForest (40)
Learner classif.randomForest from package(s) randomForest.
10 runs0 likes1 downloads1 reach0 impact
moa.OzaBag_HoeffdingTree (4)
Moa implementation of OzaBag
240 runs0 likes1 downloads1 reach0 impact
moa.HoeffdingTree (4)
Moa implementation of HoeffdingTree
0 runs0 likes0 downloads0 reach0 impact
moa.BLAST (1)
Moa implementation of BLAST
13 runs0 likes1 downloads1 reach0 impact
moa.WeightedEnsemble (1)
Moa implementation of WeightedEnsemble
40 runs0 likes1 downloads1 reach0 impact
classif.LiblineaRL2LogReg (3)
Learner classif.LiblineaRL2LogReg from package(s) LiblineaR.
5 runs0 likes1 downloads1 reach0 impact
classif.OneR (3)
Learner classif.OneR from package(s) RWeka.
12 runs0 likes1 downloads1 reach0 impact
classif.PART (3)
Learner classif.PART from package(s) RWeka.
12 runs0 likes1 downloads1 reach0 impact
classif.ada (4)
Learner classif.ada from package(s) ada.
10 runs0 likes1 downloads1 reach0 impact
classif.avNNet (4)
Learner classif.avNNet from package(s) nnet.
12 runs0 likes1 downloads1 reach0 impact
classif.bartMachine (2)
Learner classif.bartMachine from package(s) bartMachine.
10 runs0 likes1 downloads1 reach0 impact
classif.bdk (2)
Learner classif.bdk from package(s) kohonen.
5 runs0 likes1 downloads1 reach0 impact
classif.binomial (4)
Learner classif.binomial from package(s) stats.
10 runs0 likes1 downloads1 reach0 impact
classif.boosting (3)
Learner classif.boosting from package(s) adabag, rpart.
11 runs0 likes1 downloads1 reach0 impact
classif.cforest (3)
Learner classif.cforest from package(s) party.
12 runs0 likes1 downloads1 reach0 impact
classif.ctree (3)
Learner classif.ctree from package(s) party.
12 runs0 likes1 downloads1 reach0 impact
classif.dbnDNN (2)
Learner classif.dbnDNN from package(s) deepnet.
5 runs0 likes1 downloads1 reach0 impact