OpenML
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21333 results
moa.DecisionStump (2)
Moa implementation of DecisionStump
60 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart.tuned (2)
Learner mlr.classif.rpart.tuned from package(s) rpart.
2 runs0 likes0 downloads0 reach0 impact
mlr.classif.randomForest (18)
Learner mlr.classif.randomForest from package(s) randomForest.
4 runs0 likes0 downloads0 reach0 impact
weka.MultiSearch_MultilayerPerceptron (2)
Weka implementation of MultiSearch
0 runs0 likes0 downloads0 reach0 impact
weka.MultilayerPerceptron (6)
Weka implementation of MultilayerPerceptron
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.kknn (8)
Learner mlr.classif.kknn from package(s) !kknn.
0 runs0 likes0 downloads0 reach0 impact
moa.OzaBag_HoeffdingTree (6)
Moa implementation of OzaBag
248 runs0 likes0 downloads0 reach0 impact
moa.BlastDecayed (9)
Moa implementation of BlastDecayed
2224 runs0 likes0 downloads0 reach0 impact
moa.BlastWindowed (2)
Moa implementation of BlastWindowed
854 runs0 likes0 downloads0 reach0 impact
moa.DynamicWeightedMajority_HoeffdingTree (1)
Moa implementation of DynamicWeightedMajority
64 runs0 likes0 downloads0 reach0 impact
mlr.classif.ksvm (6)
Learner mlr.classif.ksvm from package(s) kernlab.
299 runs0 likes0 downloads0 reach0 impact
moa.MajorityVoteEnsemble (2)
Moa implementation of MajorityVoteEnsemble
127 runs0 likes0 downloads0 reach0 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.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.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.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.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.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.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.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_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_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_CostSensitiveClassifier_RandomForest (1)
Weka implementation of FilteredClassifier
6 runs0 likes0 downloads0 reach0 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.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_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
weka.CostSensitiveClassifier_LogitBoost_RandomForest (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach0 impact
weka.LogitBoost_RandomForest (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.CostSensitiveClassifier_LogitBoost_J48 (1)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.LogitBoost_J48 (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_LMT (2)
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.LMT (5)
Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees. Machine Learning. 95(1-2):161-205. Marc Sumner, Eibe Frank, Mark Hall: Speeding up Logistic Model Tree Induction. In: 9th European…
0 runs0 likes0 downloads0 reach0 impact
weka.Bagging_Bagging_RandomTree (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_Bagging_J48 (2)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_Bagging_RandomForest (3)
Weka implementation of CostSensitiveClassifier
5 runs0 likes0 downloads0 reach0 impact
weka.Bagging_RandomForest (11)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_Bagging_LogitBoost_RandomTree (1)
Weka implementation of CostSensitiveClassifier
4 runs0 likes0 downloads0 reach0 impact