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weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_SMO_PolyKernel (1)
Weka implementation of FilteredClassifier
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weka.Bagging_FilteredClassifier_IBk (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_MultiSearch_SMO_PolyKernel (1)
Weka implementation of FilteredClassifier
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weka.MultiSearch_IBk (4)
Weka implementation of MultiSearch
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sklearn.pipeline.Pipeline(dualimputer=extra.dual_imputer.DualImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,kneighborsclassifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(dualimputer=extra.dual_imputer.DualImputer,svc=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(logisticregression=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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weka.FilteredClassifier_FilteredClassifier_MultilayerPerceptron (1)
Weka implementation of FilteredClassifier
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weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_Vote_RandomForest (1)
Weka implementation of FilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_FilteredClassifier_AdaBoostM1_SMO_PolyKernel (1)
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_SMO_PolyKernel (4)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
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weka.FilteredClassifier_Bagging_IterativeClassifierOptimizer_AdaBoostM1_J48 (1)
Weka implementation of FilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_CostSensitiveClassifier_AttributeSelectedClassifier_NaiveBayes (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.AdaBoostM1_CostSensitiveClassifier_SimpleLogistic (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.FilteredClassifier_FilteredClassifier_BayesNet (1)
Weka implementation of FilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.MultiClassClassifier_Logistic (5)
Weka implementation of MultiClassClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_FilteredClassifier_Bagging_AdaBoostM1_J48 (1)
Weka implementation of FilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_FilteredClassifier_J48 (1)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
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weka.CostSensitiveClassifier_FilteredClassifier_NaiveBayes (1)
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_Bagging_REPTree (5)
Weka implementation of CostSensitiveClassifier
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weka.CostSensitiveClassifier_FilteredClassifier_SMO_RBFKernel (1)
Weka implementation of CostSensitiveClassifier
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weka.CostSensitiveClassifier_FilteredClassifier_AdaBoostM1_NaiveBayes (1)
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_AdaBoostM1_J48 (1)
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=extra.dual_imputer.DualImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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weka.AdaBoostM1_FilteredClassifier_AdaBoostM1_J48 (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.RandomizableFilteredClassifier_Vote_IBk (1)
Weka implementation of RandomizableFilteredClassifier
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weka.RandomizableFilteredClassifier_Vote_SimpleLogistic (1)
Weka implementation of RandomizableFilteredClassifier
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weka.AdaBoostM1_CostSensitiveClassifier_FilteredClassifier_J48 (1)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
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weka.AdaBoostM1_CostSensitiveClassifier_FilteredClassifier_SMO_PolyKernel (1)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
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weka.FilteredClassifier_CostSensitiveClassifier_AdaBoostM1_J48 (1)
Weka implementation of FilteredClassifier
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weka.FilteredClassifier_CostSensitiveClassifier_AdaBoostM1_OneR (1)
Weka implementation of FilteredClassifier
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weka.LWL_HoeffdingTree (1)
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…
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weka.MultiSearch_RandomTree (1)
Weka implementation of MultiSearch
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weka.CostSensitiveClassifier_InputMappedClassifier_ZeroR (2)
Weka implementation of CostSensitiveClassifier
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weka.CostSensitiveClassifier_FilteredClassifier_AdaBoostM1_PART (1)
Weka implementation of CostSensitiveClassifier
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weka.AdaBoostM1_PART (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 reach1 impact
weka.MultiClassClassifier_BayesNet (1)
Weka implementation of MultiClassClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.Bagging_MultiClassClassifier_J48 (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes0 downloads0 reach0 impact
weka.RandomizableFilteredClassifier_Vote_J48 (1)
Weka implementation of RandomizableFilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.Bagging_AttributeSelectedClassifier_RandomForest (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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weka.RandomizableFilteredClassifier_RandomizableFilteredClassifier_RandomizableFilteredClassifier_RandomTree (1)
Weka implementation of RandomizableFilteredClassifier
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weka.FilteredClassifier_MultiBoostAB_CostSensitiveClassifier_RandomForest (1)
Weka implementation of FilteredClassifier
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weka.MultiBoostAB_CostSensitiveClassifier_RandomForest (1)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
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weka.CVParameterSelection_HoeffdingTree (1)
R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
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weka.AdaBoostM1_RandomTree (5)
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
weka.RotationForest_J48 (1)
Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630.…
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weka.Vote_ZeroR (5)
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 reach1 impact
weka.CostSensitiveClassifier_AttributeSelectedClassifier_RandomForest (1)
Weka implementation of CostSensitiveClassifier
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weka.CostSensitiveClassifier_DecisionTable (2)
Weka implementation of CostSensitiveClassifier
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weka.CVParameterSelection_LMT (1)
R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
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weka.RotationForest_Vote_RandomForest (1)
Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630.…
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weka.CostSensitiveClassifier_CVParameterSelection_Logistic (1)
Weka implementation of CostSensitiveClassifier
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weka.CostSensitiveClassifier_CVParameterSelection_SimpleLogistic (1)
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.MultiBoostAB_RotationForest_RandomForest (1)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
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weka.RandomizableFilteredClassifier_Bagging_Vote_RandomTree (1)
Weka implementation of RandomizableFilteredClassifier
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weka.RandomizableFilteredClassifier_AdaBoostM1_DecisionStump (1)
Weka implementation of RandomizableFilteredClassifier
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weka.RandomizableFilteredClassifier_Stacking_SMO (1)
Weka implementation of RandomizableFilteredClassifier
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weka.CostSensitiveClassifier_BayesNet (1)
Weka implementation of CostSensitiveClassifier
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weka.RandomizableFilteredClassifier_AdaBoostM1_J48 (1)
Weka implementation of RandomizableFilteredClassifier
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weka.CostSensitiveClassifier_FilteredClassifier_Vote_SimpleLogistic (1)
Weka implementation of CostSensitiveClassifier
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weka.CostSensitiveClassifier_Stacking_ZeroR (1)
Weka implementation of CostSensitiveClassifier
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weka.FilteredClassifier_CostSensitiveClassifier_FilteredClassifier_RandomTree (1)
Weka implementation of FilteredClassifier
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weka.CostSensitiveClassifier_FilteredClassifier_RandomTree (1)
Weka implementation of CostSensitiveClassifier
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weka.RandomizableFilteredClassifier_AdaBoostM1_AdaBoostM1_DecisionStump (1)
Weka implementation of RandomizableFilteredClassifier
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weka.CostSensitiveClassifier_AttributeSelectedClassifier_HoeffdingTree (1)
Weka implementation of CostSensitiveClassifier
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weka.RandomizableFilteredClassifier_AdaBoostM1_MultilayerPerceptron (1)
Weka implementation of RandomizableFilteredClassifier
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weka.FilteredClassifier_CostSensitiveClassifier_NaiveBayes (2)
Weka implementation of FilteredClassifier
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weka.FilteredClassifier_CostSensitiveClassifier_Logistic (3)
Weka implementation of FilteredClassifier
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weka.RandomCommittee_RandomCommittee_RandomTree (1)
Weka implementation of RandomCommittee
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weka.RandomizableFilteredClassifier_AttributeSelectedClassifier_SMO_PolyKernel (1)
Weka implementation of RandomizableFilteredClassifier
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weka.CostSensitiveClassifier_Vote_ZeroR (2)
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_J48 (7)
Weka implementation of CostSensitiveClassifier
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weka.MultiClassClassifier_RandomTree (2)
Weka implementation of MultiClassClassifier
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weka.MultiClassClassifier_AdaBoostM1_RandomForest (1)
Weka implementation of MultiClassClassifier
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weka.CostSensitiveClassifier_SMO_PolyKernel (3)
Weka implementation of CostSensitiveClassifier
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weka.MetaCost_ZeroR (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.
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weka.MultiBoostAB_RandomTree (4)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
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weka.RandomizableFilteredClassifier_RandomCommittee_RandomForest (1)
Weka implementation of RandomizableFilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_CostSensitiveClassifier_FilteredClassifier_RandomForest (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.CostSensitiveClassifier_FilteredClassifier_AttributeSelectedClassifier_RandomForest (1)
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_FilteredClassifier_AttributeSelectedClassifier_SMO_PolyKernel (1)
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_J48 (4)
Weka implementation of FilteredClassifier
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weka.FilteredClassifier_RandomForest (5)
Weka implementation of FilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_NaiveBayes (4)
Weka implementation of FilteredClassifier
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weka.CostSensitiveClassifier_CVParameterSelection_RandomForest (1)
Weka implementation of CostSensitiveClassifier
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weka.FilteredClassifier_CostSensitiveClassifier_FilteredClassifier_RandomForest (1)
Weka implementation of FilteredClassifier
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weka.Vote_J48 (4)
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.MultiClassClassifier_CostSensitiveClassifier_REPTree (1)
Weka implementation of MultiClassClassifier
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weka.RandomizableFilteredClassifier_Vote_RandomizableFilteredClassifier_MultilayerPerceptron (1)
Weka implementation of RandomizableFilteredClassifier
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weka.FilteredClassifier_CostSensitiveClassifier_J48 (1)
Weka implementation of FilteredClassifier
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weka.CostSensitiveClassifier_MultiClassClassifier_REPTree (1)
Weka implementation of CostSensitiveClassifier
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weka.CostSensitiveClassifier_AdaBoostM1_RandomTree (2)
Weka implementation of CostSensitiveClassifier
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weka.AdaBoostM1_AdaBoostM1_CostSensitiveClassifier_ZeroR (1)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
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weka.AdaBoostM1_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.
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weka.FilteredClassifier_CostSensitiveClassifier_RandomTree (3)
Weka implementation of FilteredClassifier
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weka.RandomizableFilteredClassifier_CostSensitiveClassifier_NaiveBayes (1)
Weka implementation of RandomizableFilteredClassifier
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weka.CostSensitiveClassifier_ZeroR (4)
Weka implementation of CostSensitiveClassifier
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weka.CostSensitiveClassifier_CostSensitiveClassifier_REPTree (1)
Weka implementation of CostSensitiveClassifier
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weka.RandomizableFilteredClassifier_Vote_RandomTree (1)
Weka implementation of RandomizableFilteredClassifier
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extra.neural_network.NeuralNetwork (1)
Automatically created scikit-learn flow.
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