OpenML
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21333 results
mlr.classif.rpart (35)
Learner mlr.classif.rpart from package(s) rpart.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart (34)
Learner mlr.classif.rpart from package(s) rpart.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart (35)
Learner mlr.classif.rpart from package(s) rpart.
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_RandomForest (5)
Weka implementation of CostSensitiveClassifier
14 runs0 likes0 downloads0 reach14 impact
weka.FilteredClassifier_CostSensitiveClassifier_Logistic (2)
Weka implementation of FilteredClassifier
4 runs0 likes0 downloads0 reach3 impact
weka.FilteredClassifier_FilteredClassifier_CostSensitiveClassifier_Logistic (1)
Weka implementation of FilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_FilteredClassifier_CostSensitiveClassifier_SMO_PolyKernel (1)
Weka implementation of FilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_CostSensitiveClassifier_SMO_PolyKernel (1)
Weka implementation of FilteredClassifier
3 runs0 likes0 downloads0 reach3 impact
weka.CostSensitiveClassifier_FilteredClassifier_Logistic (1)
Weka implementation of CostSensitiveClassifier
6 runs0 likes0 downloads0 reach1 impact
weka.FilteredClassifier_Logistic (1)
Weka implementation of FilteredClassifier
2 runs0 likes0 downloads0 reach2 impact
weka.CostSensitiveClassifier_FilteredClassifier_Bagging_REPTree (1)
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_Bagging_REPTree (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach37 impact
weka.CostSensitiveClassifier_FilteredClassifier_Bagging_RandomForest (1)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_Bagging_RandomForest (3)
Weka implementation of FilteredClassifier
2 runs0 likes0 downloads0 reach2 impact
sklearn.pipeline.Pipeline(nystroem=sklearn.kernel_approximation.Nystroem,svc=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
sklearn.kernel_approximation.Nystroem (1)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_AttributeSelectedClassifier_NaiveBayes (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_FilteredClassifier_CostSensitiveClassifier_NaiveBayes (1)
Weka implementation of FilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_CostSensitiveClassifier_NaiveBayes (1)
Weka implementation of FilteredClassifier
2 runs0 likes0 downloads0 reach2 impact
weka.FilteredClassifier_FilteredClassifier_CostSensitiveClassifier_IBk (1)
Weka implementation of FilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_CostSensitiveClassifier_IBk (1)
Weka implementation of FilteredClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_IBk (2)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_RandomForest (4)
Weka implementation of FilteredClassifier
509 runs0 likes0 downloads0 reach504 impact
weka.FilteredClassifier_LMT (1)
Weka implementation of FilteredClassifier
43 runs0 likes0 downloads0 reach42 impact
weka.LMT (6)
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…
6 runs0 likes0 downloads0 reach6 impact
sklearn.pipeline.Pipeline(DualImputer=helper.dual_imputer.DualImputer,adaboostclassifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(DualImputer=helper.dual_imputer.DualImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,linearsvc=sklearn.svm.classes.LinearSVC) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(DualImputer=helper.dual_imputer.DualImputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,standardscaler=sklearn.preprocessing.data.StandardScaler,linearsvc=sklearn.svm.classes.LinearSVC) (1)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(DualImputer=helper.dual_imputer.DualImputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,standardscaler=sklearn.preprocessing.data.StandardScaler,nusvc=sklearn.svm.classes.NuSVC) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(DualImputer=helper.dual_imputer.DualImputer,logisticregression=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(DualImputer=helper.dual_imputer.DualImputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
weka.MultiScheme_AutoWEKAClassifier (1)
Weka implementation of MultiScheme
1 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_FilteredClassifier_CostSensitiveClassifier_MultiSearch_SMO_PolyKernel (1)
Weka implementation of FilteredClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_CostSensitiveClassifier_MultiSearch_SMO_PolyKernel (1)
Weka implementation of FilteredClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_MultiSearch_SMO_PolyKernel (1)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.MultiSearch_SMO_PolyKernel (1)
Weka implementation of MultiSearch
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_FilteredClassifier_CostSensitiveClassifier_GaussianProcesses_PolyKernel (1)
Weka implementation of FilteredClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_CostSensitiveClassifier_GaussianProcesses_PolyKernel (1)
Weka implementation of FilteredClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_GaussianProcesses_PolyKernel (3)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_FilteredClassifier_CostSensitiveClassifier_MultilayerPerceptron (1)
Weka implementation of FilteredClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_CostSensitiveClassifier_MultilayerPerceptron (1)
Weka implementation of FilteredClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_FilteredClassifier_RandomForest (1)
Weka implementation of FilteredClassifier
17 runs0 likes0 downloads0 reach16 impact
weka.Stacking_CostSensitiveClassifier (1)
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier (3)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_FilteredClassifier_CostSensitiveClassifier_AdaBoostM1_DecisionStump (1)
Weka implementation of FilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_CostSensitiveClassifier_AdaBoostM1_DecisionStump (1)
Weka implementation of FilteredClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_AdaBoostM1_DecisionStump (2)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach1 impact
weka.AdaBoostM1_DecisionStump (17)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
1 runs0 likes0 downloads0 reach1 impact
mlr.classif.kknn (12)
Learner mlr.classif.kknn from package(s) !kknn.
483 runs0 likes0 downloads0 reach0 impact
weka.BayesNet (3)
Weka implementation of BayesNet
2 runs0 likes0 downloads0 reach0 impact
weka.DecisionStump (9)
Weka implementation of DecisionStump
1 runs0 likes0 downloads0 reach0 impact
weka.J48 (39)
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
10 runs0 likes0 downloads0 reach9 impact
weka.DecisionTable (3)
Ron Kohavi: The Power of Decision Tables. In: 8th European Conference on Machine Learning, 174-189, 1995.
1 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_J48 (3)
Weka implementation of FilteredClassifier
417 runs0 likes0 downloads0 reach416 impact
weka.FilteredClassifier_NaiveBayes (3)
Weka implementation of FilteredClassifier
44 runs0 likes0 downloads0 reach43 impact
weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_RandomForest (1)
Weka implementation of FilteredClassifier
5 runs0 likes0 downloads0 reach2 impact
weka.FilteredClassifier_RandomTree (1)
Weka implementation of FilteredClassifier
47 runs0 likes0 downloads0 reach45 impact
weka.FilteredClassifier_IBk (1)
Weka implementation of FilteredClassifier
253 runs0 likes0 downloads0 reach252 impact
weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_Bagging_IBk (1)
Weka implementation of FilteredClassifier
2 runs0 likes0 downloads0 reach1 impact
weka.FilteredClassifier_FilteredClassifier_Bagging_IBk (1)
Weka implementation of FilteredClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_Bagging_IBk (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach37 impact
weka.Bagging_IBk (6)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_Bagging_SMO_PolyKernel (1)
Weka implementation of FilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_FilteredClassifier_Bagging_SMO_PolyKernel (1)
Weka implementation of FilteredClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_Bagging_SMO_PolyKernel (1)
Weka implementation of FilteredClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.Bagging_SMO_PolyKernel (3)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_Bagging_MultilayerPerceptron (1)
Weka implementation of FilteredClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_FilteredClassifier_Bagging_MultilayerPerceptron (1)
Weka implementation of FilteredClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_Bagging_MultilayerPerceptron (1)
Weka implementation of FilteredClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.ZeroR (15)
Weka implementation of ZeroR
1 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_FilteredClassifier_AttributeSelectedClassifier_IBk (1)
Weka implementation of FilteredClassifier
4 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_IBk (1)
Weka implementation of FilteredClassifier
256 runs0 likes0 downloads0 reach256 impact
weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_IBk (1)
Weka implementation of FilteredClassifier
8 runs0 likes0 downloads0 reach6 impact
weka.FilteredClassifier_FilteredClassifier_IBk (1)
Weka implementation of FilteredClassifier
12 runs0 likes0 downloads0 reach12 impact
weka.FilteredClassifier_FilteredClassifier_Logistic (1)
Weka implementation of FilteredClassifier
2 runs0 likes0 downloads0 reach2 impact
weka.NaiveBayesMultinomialText (1)
Weka implementation of NaiveBayesMultinomialText
2 runs0 likes0 downloads0 reach0 impact
weka.ClassificationViaRegression_SMO_PolyKernel (1)
E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
0 runs0 likes0 downloads0 reach0 impact
weka.NaiveBayesMultinomial (6)
Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for Naive Bayes Text Classification. In: AAAI-98 Workshop on 'Learning for Text Categorization', 1998.
1 runs0 likes0 downloads0 reach0 impact
weka.CVParameterSelection_J48 (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.CVParameterSelection_RandomForest (1)
R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
2 runs0 likes0 downloads0 reach1 impact
weka.FilteredClassifier_CostSensitiveClassifier_RandomForest (3)
Weka implementation of FilteredClassifier
2 runs0 likes0 downloads0 reach2 impact
weka.Vote_RandomForest (3)
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…
3 runs0 likes0 downloads0 reach2 impact
weka.Vote_AttributeSelectedClassifier (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_FilteredClassifier_FilteredClassifier_J48 (1)
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_FilteredClassifier_J48 (1)
Weka implementation of FilteredClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_FilteredClassifier_FilteredClassifier_RandomForest (1)
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.NaiveBayesUpdateable (12)
George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.
2 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_CostSensitiveClassifier_SMO_PolyKernel (1)
Weka implementation of FilteredClassifier
2 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_Bagging_RandomForest (4)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_Bagging_J48 (2)
Weka implementation of FilteredClassifier
38 runs0 likes0 downloads0 reach37 impact
weka.FilteredClassifier_CostSensitiveClassifier_AdaBoostM1_RandomForest (1)
Weka implementation of FilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_AdaBoostM1_RandomForest (1)
Weka implementation of CostSensitiveClassifier
5 runs0 likes0 downloads0 reach5 impact
weka.AttributeSelectedClassifier_FilteredClassifier_Bagging_J48 (1)
Weka implementation of AttributeSelectedClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.RandomTree (15)
Weka implementation of RandomTree
6 runs0 likes0 downloads0 reach0 impact
weka.NaiveBayesMultinomialUpdateable (9)
Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for Naive Bayes Text Classification. In: AAAI-98 Workshop on 'Learning for Text Categorization', 1998.
0 runs0 likes0 downloads0 reach0 impact
weka.NaiveBayes (17)
George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.
6 runs0 likes0 downloads0 reach4 impact
weka.Bagging_REPTree (27)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2 runs0 likes0 downloads0 reach0 impact
weka.REPTree (19)
Weka implementation of REPTree
0 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_CostSensitiveClassifier_Logistic (1)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
1 runs0 likes0 downloads0 reach0 impact
weka.Bagging_FilteredClassifier_LMT (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
7 runs0 likes0 downloads0 reach6 impact