OpenML
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21333 results
moa.MajorityVoteEnsemble (2)
Moa implementation of MajorityVoteEnsemble
127 runs0 likes0 downloads0 reach0 impact
sklearn.ensemble.forest.RandomForestClassifier (13)
Flow generated by run_task
574 runs0 likes1 downloads1 reach569 impact
mlr.classif.rpart.imputed.filtered (1)
Learner mlr.classif.rpart.imputed.filtered from package(s) rpart.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart.tuned (3)
Learner mlr.classif.rpart.tuned from package(s) rpart.
3 runs0 likes0 downloads0 reach0 impact
moa.AccuracyWeightedEnsemble_HoeffdingTree (1)
Moa implementation of AccuracyWeightedEnsemble
60 runs0 likes0 downloads0 reach0 impact
sklearn.tree.tree.DecisionTreeClassifier (3)
Flow generated by run_task
708 runs0 likes0 downloads0 reach0 impact
sklearn.svm.classes.SVC (4)
Flow generated by run_task
532 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart (24)
Learner mlr.classif.rpart from package(s) rpart.
7 runs0 likes0 downloads0 reach7 impact
mlr.classif.rpart.imputed.filtered (2)
Learner mlr.classif.rpart.imputed.filtered from package(s) rpart.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart.tuned (4)
Learner mlr.classif.rpart.tuned from package(s) rpart.
3 runs0 likes0 downloads0 reach0 impact
mlr.classif.randomForest (21)
Learner mlr.classif.randomForest from package(s) randomForest.
3 runs0 likes0 downloads0 reach0 impact
mlr.classif.ksvm (7)
Learner mlr.classif.ksvm from package(s) kernlab.
1 runs0 likes0 downloads0 reach0 impact
mlr.classif.logreg (4)
Learner mlr.classif.logreg from package(s) stats.
1 runs0 likes0 downloads0 reach0 impact
sklearn.tree.tree.DecisionTreeClassifier (4)
Flow generated by run_task
1 runs0 likes0 downloads0 reach0 impact
sklearn.ensemble.forest.RandomForestClassifier (14)
Flow generated by run_task
103 runs0 likes0 downloads0 reach103 impact
sklearn.preprocessing.imputation.Imputer (2)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
sklearn.preprocessing.data.OneHotEncoder (2)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart (25)
Learner mlr.classif.rpart from package(s) rpart.
3 runs0 likes0 downloads0 reach2 impact
mlr.classif.ranger.preproc (3)
Learner mlr.classif.ranger.preproc from package(s) ranger.
3 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart.bagged.preproc (1)
Learner mlr.classif.rpart.bagged.preproc from package(s) rpart.
1 runs0 likes0 downloads0 reach0 impact
mlr.classif.nnet.preproc (2)
Learner mlr.classif.nnet.preproc from package(s) nnet.
1 runs0 likes0 downloads0 reach0 impact
mlr.classif.boosting.preproc (2)
Learner mlr.classif.boosting.preproc from package(s) adabag, rpart.
1 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart.preproc (17)
Learner mlr.classif.rpart.preproc from package(s) rpart.
2 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart.bagged.preproc (2)
Learner mlr.classif.rpart.bagged.preproc from package(s) rpart.
2 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.rpart.preproc (1)
Learner mlr.weightedclasses.classif.rpart.preproc from package(s) rpart.
1 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.rpart.bagged.preproc (1)
Learner mlr.weightedclasses.classif.rpart.bagged.preproc from package(s) rpart.
1 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.rpart.bagged.preproc (2)
Learner mlr.weightedclasses.classif.rpart.bagged.preproc from package(s) rpart.
1 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.rpart.preproc (2)
Learner mlr.weightedclasses.classif.rpart.preproc from package(s) rpart.
1 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.gbm.preproc (1)
Learner mlr.weightedclasses.classif.gbm.preproc from package(s) gbm.
2 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.gbm.bagged.preproc (1)
Learner mlr.weightedclasses.classif.gbm.bagged.preproc from package(s) gbm.
1 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.ksvm.preproc (1)
Learner mlr.weightedclasses.classif.ksvm.preproc from package(s) kernlab.
1 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.C50.preproc (1)
Learner mlr.weightedclasses.classif.C50.preproc from package(s) C50.
1 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.C50.bagged.preproc (1)
Learner mlr.weightedclasses.classif.C50.bagged.preproc from package(s) C50.
1 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.logreg.preproc (1)
Learner mlr.weightedclasses.classif.logreg.preproc from package(s) stats.
1 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.gbm.preproc (2)
Learner mlr.weightedclasses.classif.gbm.preproc from package(s) gbm.
4 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.gbm.preproc (3)
Learner mlr.weightedclasses.classif.gbm.preproc from package(s) gbm.
1 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.xgboost.preproc (1)
Learner mlr.weightedclasses.classif.xgboost.preproc from package(s) xgboost.
1 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.xgboost.preproc (2)
Learner mlr.weightedclasses.classif.xgboost.preproc from package(s) xgboost.
1 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.xgboost.bagged.preproc (1)
Learner mlr.weightedclasses.classif.xgboost.bagged.preproc from package(s) xgboost.
1 runs0 likes0 downloads0 reach0 impact
mlr.classif.randomForestSRC (1)
Learner mlr.classif.randomForestSRC from package(s) randomForestSRC.
1 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.randomForestSRC (1)
Learner mlr.weightedclasses.classif.randomForestSRC from package(s) randomForestSRC.
2 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_RandomForest (1)
Weka implementation of FilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.RandomForest (10)
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
12 runs0 likes0 downloads0 reach12 impact
weka.LogitBoost_NaiveBayes (2)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_RandomForest (2)
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.Stacking_IBk (1)
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
1 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_RandomForest (2)
Weka implementation of FilteredClassifier
9 runs0 likes0 downloads0 reach8 impact
weka.Bagging_LogitBoost_DecisionStump (2)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
7 runs0 likes0 downloads0 reach0 impact
weka.LogitBoost_DecisionStump (9)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
weka.DecisionStump (6)
Weka implementation of DecisionStump
1 runs0 likes0 downloads0 reach1 impact
weka.CostSensitiveClassifier_RandomForest (3)
Weka implementation of CostSensitiveClassifier
20 runs0 likes0 downloads0 reach18 impact
weka.LogitBoost_ZeroR (2)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
1 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_Bagging_RandomForest (2)
Weka implementation of CostSensitiveClassifier
12 runs0 likes0 downloads0 reach10 impact
weka.CVParameterSelection_NaiveBayes (1)
R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
1 runs0 likes0 downloads0 reach0 impact
weka.IterativeClassifierOptimizer_AdaBoostM1_DecisionStump (1)
Weka implementation of IterativeClassifierOptimizer
1 runs0 likes0 downloads0 reach0 impact
weka.IterativeClassifierOptimizer_AdditiveRegression_DecisionStump (2)
Weka implementation of IterativeClassifierOptimizer
0 runs0 likes0 downloads0 reach0 impact
weka.IterativeClassifierOptimizer_AdaBoostM1_RandomForest (1)
Weka implementation of IterativeClassifierOptimizer
1 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_SimpleLogistic (1)
Weka implementation of CostSensitiveClassifier
9 runs0 likes0 downloads0 reach6 impact
weka.CostSensitiveClassifier_IterativeClassifierOptimizer_LogitBoost_DecisionStump (1)
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.Vote_NaiveBayes (1)
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…
4 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_M5P (1)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.Vote_J48 (2)
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…
4 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_LMT (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach1 impact
weka.CostSensitiveClassifier_GaussianProcesses_PolyKernel (1)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_LinearRegression (1)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_RandomForest (3)
Weka implementation of FilteredClassifier
9 runs0 likes0 downloads0 reach8 impact
weka.RandomForest (11)
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
4 runs0 likes0 downloads0 reach4 impact
weka.FilteredClassifier_CostSensitiveClassifier_RandomForest (1)
Weka implementation of FilteredClassifier
6 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_RandomForest (4)
Weka implementation of CostSensitiveClassifier
28 runs0 likes0 downloads0 reach28 impact
weka.CostSensitiveClassifier_J48 (4)
Weka implementation of CostSensitiveClassifier
8 runs0 likes0 downloads0 reach7 impact
weka.CostSensitiveClassifier_HoeffdingTree (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach1 impact
weka.UserClassifier (1)
Malcolm Ware, Eibe Frank, Geoffrey Holmes, Mark Hall, Ian H. Witten (2001). Interactive machine learning: letting users build classifiers. Int. J. Hum.-Comput. Stud.. 55(3):281-292.
0 runs0 likes0 downloads0 reach0 impact
weka.Bagging_J48 (8)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_SMO_PolyKernel (1)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_CostSensitiveClassifier_RandomTree (1)
Weka implementation of FilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_RandomTree (4)
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach1 impact
weka.RandomTree (12)
Weka implementation of RandomTree
1 runs0 likes0 downloads0 reach1 impact
weka.FilteredClassifier_CostSensitiveClassifier_Bagging_RandomTree (1)
Weka implementation of FilteredClassifier
50 runs0 likes0 downloads0 reach49 impact
weka.CostSensitiveClassifier_Bagging_RandomTree (2)
Weka implementation of CostSensitiveClassifier
140 runs0 likes0 downloads0 reach141 impact
weka.Bagging_RandomTree (11)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
3 runs0 likes0 downloads0 reach3 impact
weka.AdditiveRegression_LMT (1)
J.H. Friedman (1999). Stochastic Gradient Boosting.
0 runs0 likes0 downloads0 reach0 impact
weka.Vote_RandomForest (2)
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…
6 runs0 likes0 downloads0 reach0 impact
weka.LogitBoost_LMT (1)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_CostSensitiveClassifier_SimpleLogistic (1)
Weka implementation of FilteredClassifier
4 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_CostSensitiveClassifier_Logistic (1)
Weka implementation of FilteredClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_CostSensitiveClassifier_RandomForest (2)
Weka implementation of FilteredClassifier
4 runs0 likes0 downloads0 reach2 impact
weka.FilteredClassifier_Bagging_RandomForest (1)
Weka implementation of FilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.Stacking_RandomForest (1)
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
1 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_CostSensitiveClassifier_RandomTree (2)
Weka implementation of FilteredClassifier
2 runs0 likes0 downloads0 reach0 impact
weka.MultilayerPerceptron (7)
Weka implementation of MultilayerPerceptron
1 runs0 likes0 downloads0 reach0 impact
weka.Stacking_Bagging (1)
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
1 runs0 likes0 downloads0 reach0 impact
weka.Stacking_AdaBoostM1 (1)
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
0 runs0 likes0 downloads0 reach0 impact
weka.Bagging_AdaBoostM1_DecisionStump (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes0 downloads0 reach0 impact
weka.Bagging_Stacking_LogitBoost (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.Stacking_LogitBoost (1)
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
0 runs0 likes0 downloads0 reach0 impact
weka.LogitBoost (1)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
weka.Stacking_NaiveBayes (2)
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
3 runs0 likes0 downloads0 reach0 impact
weka.LibSVM (9)
Yasser EL-Manzalawy (2005). WLSVM. URL http://www.cs.iastate.edu/~yasser/wlsvm/. Chih-Chung Chang, Chih-Jen Lin (2001). LIBSVM - A Library for Support Vector Machines. URL…
2 runs0 likes0 downloads0 reach0 impact
weka.Vote_AdaBoostM1 (1)
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…
1 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_VotedPerceptron (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach0 impact