OpenML
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21333 results
classif.ada (10)
Learner classif.ada from package(s) ada.
14 runs0 likes1 downloads1 reach0 impact
mlr.classif.randomForest.tuned (5)
Learner mlr.classif.randomForest.tuned from package(s) randomForest.
1 runs0 likes1 downloads1 reach0 impact
mlr.classif.randomForest.tuned (6)
Learner mlr.classif.randomForest.tuned from package(s) randomForest.
1 runs0 likes1 downloads1 reach0 impact
mlr.classif.randomForest.tuned (7)
Learner mlr.classif.randomForest.tuned from package(s) randomForest.
2 runs0 likes1 downloads1 reach0 impact
mlr.classif.logreg (2)
Learner mlr.classif.logreg from package(s) stats.
18 runs0 likes1 downloads1 reach0 impact
mlr.classif.randomForest (4)
Learner mlr.classif.randomForest from package(s) randomForest.
30 runs0 likes1 downloads1 reach0 impact
mlr.classif.rpart (4)
Learner mlr.classif.rpart from package(s) rpart.
1 runs0 likes2 downloads2 reach0 impact
mlr.classif.rpart.preproc.filtered (2)
Learner mlr.classif.rpart.preproc.filtered from package(s) randomForestSRC, rpart.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart.preproc (4)
Learner mlr.classif.rpart.preproc from package(s) rpart.
0 runs0 likes0 downloads0 reach0 impact
classif.logreg (12)
Learner classif.logreg from package(s) stats.
2 runs0 likes1 downloads1 reach0 impact
classif.randomForest (58)
Learner classif.randomForest from package(s) randomForest.
2 runs0 likes1 downloads1 reach0 impact
classif.rpart (50)
Learner classif.rpart from package(s) rpart.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart.preproc.filtered (3)
Learner mlr.classif.rpart.preproc.filtered from package(s) rpart.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart.tuned (1)
Learner mlr.classif.rpart.tuned from package(s) rpart.
3 runs0 likes0 downloads0 reach0 impact
weka.MultiSearch_LinearRegression (1)
Weka implementation of MultiSearch
5 runs0 likes0 downloads0 reach0 impact
weka.LinearRegression (7)
Weka implementation of LinearRegression
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.logreg.preproc.filtered (1)
Learner mlr.classif.logreg.preproc.filtered from package(s) stats.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.logreg.preproc (1)
Learner mlr.classif.logreg.preproc from package(s) stats.
0 runs0 likes0 downloads0 reach0 impact
weka.MultiSearch_J48 (2)
Weka implementation of MultiSearch
6 runs0 likes0 downloads0 reach0 impact
mlr.classif.randomForest.filtered (5)
Learner mlr.classif.randomForest.filtered from package(s) randomForest.
1 runs0 likes0 downloads0 reach0 impact
mlr.classif.knn (1)
Learner mlr.classif.knn from package(s) class.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.knn.preproc (1)
Learner mlr.classif.knn.preproc from package(s) class.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.ranger (1)
Learner mlr.classif.ranger from package(s) ranger.
20 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart.bagged (1)
Learner mlr.classif.rpart.bagged from package(s) rpart.
20 runs0 likes0 downloads0 reach0 impact
mlr.classif.J48.bagged (1)
Learner mlr.classif.J48.bagged from package(s) RWeka.
20 runs0 likes0 downloads0 reach0 impact
mlr.classif.J48 (1)
Learner mlr.classif.J48 from package(s) RWeka.
2 runs0 likes0 downloads0 reach0 impact
mlr.classif.ctree.bagged (1)
Learner mlr.classif.ctree.bagged from package(s) party.
20 runs0 likes0 downloads0 reach0 impact
mlr.classif.ctree (1)
Learner mlr.classif.ctree from package(s) party.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart.preproc (5)
Learner mlr.classif.rpart.preproc from package(s) rpart.
49 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart (5)
Learner mlr.classif.rpart from package(s) rpart.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.J48 (2)
Learner mlr.classif.J48 from package(s) RWeka.
17 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_ZeroR (1)
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_OneR (1)
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_AdaBoostM1_DecisionStump (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_DecisionStump (16)
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_Bagging_REPTree (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.Bagging_REPTree (22)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_BayesNet (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_SMO_RBFKernel (1)
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach0 impact
weka.SMO_RBFKernel (6)
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,…
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_A1DE (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_AdaBoostM1_IBk (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_AdaBoostM1_J48 (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_J48 (4)
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_AdaBoostM1_LMT (1)
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_LMT (3)
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
weka.AttributeSelectedClassifier_AdaBoostM1_NaiveBayes (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_AdaBoostM1_OneR (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_OneR (3)
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 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_AdaBoostM1_RandomTree (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_AdaBoostM1_REPTree (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_REPTree (11)
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_Bagging_DecisionStump (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.Bagging_DecisionStump (4)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Bagging_IBk (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.Bagging_IBk (4)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Bagging_J48 (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.Bagging_J48 (7)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Bagging_JRip (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.Bagging_JRip (4)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Bagging_LMT (1)
Weka implementation of AttributeSelectedClassifier
42 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Bagging_LWL_DecisionStump (1)
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Bagging_NaiveBayes (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.Bagging_NaiveBayes (10)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Bagging_OneR (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.Bagging_OneR (13)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
138 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Bagging_RandomTree (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.Bagging_RandomTree (10)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_NaiveBayesUpdateable (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_KStar (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_LWL_DecisionStump (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.LWL_DecisionStump (5)
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…
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_LWL_J48 (1)
Weka implementation of AttributeSelectedClassifier
42 runs0 likes0 downloads0 reach0 impact
weka.LWL_J48 (3)
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…
120 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_LWL_RandomTree (1)
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach0 impact
weka.LWL_RandomTree (3)
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…
134 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_ClassificationViaRegression_M5P (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_CVParameterSelection_ZeroR (1)
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach0 impact
weka.CVParameterSelection_ZeroR (4)
R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Dagging_DecisionStump (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.Dagging_DecisionStump (4)
Ting, K. M., Witten, I. H.: Stacking Bagged and Dagged Models. In: Fourteenth international Conference on Machine Learning, San Francisco, CA, 367-375, 1997.
40 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_END_ND_J48 (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.END_ND_J48 (4)
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…
136 runs0 likes0 downloads0 reach0 impact
weka.ND_J48 (4)
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…
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_IterativeClassifierOptimizer_LogitBoost_DecisionStump (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.LogitBoost_DecisionStump (7)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_RacedIncrementalLogitBoost_DecisionStump (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.RacedIncrementalLogitBoost_DecisionStump (4)
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.
137 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_RandomCommittee_RandomTree (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.RandomCommittee_RandomTree (5)
Weka implementation of RandomCommittee
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_RandomSubSpace_REPTree (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.RandomSubSpace_REPTree (8)
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.AttributeSelectedClassifier_LogitBoost_DecisionStump (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.LogitBoost_DecisionStump (8)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_MultiBoostAB_DecisionStump (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.MultiBoostAB_DecisionStump (4)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
137 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_MultiBoostAB_NaiveBayes (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.MultiBoostAB_NaiveBayes (3)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
42 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_MultiBoostAB_IBk (1)
Weka implementation of AttributeSelectedClassifier
43 runs0 likes0 downloads0 reach0 impact
weka.MultiBoostAB_IBk (3)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
47 runs0 likes0 downloads0 reach0 impact