OpenML
Automatically created scikit-learn flow.
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Automatically created sub-component.
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Automatically created sub-component.
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Automatically created sub-component.
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Automatically created scikit-learn flow.
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
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Weka implementation of AutoWEKAClassifier
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
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Weka implementation of CostSensitiveClassifier
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Weka implementation of MultiSearch
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Weka implementation of MultiSearch
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Weka implementation of InputMappedClassifier
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Weka implementation of AttributeSelectedClassifier
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Weka implementation of MultiSearch
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Weka implementation of MultiSearch
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Weka implementation of MultiClassClassifierUpdateable
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Weka implementation of SGD
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Weka implementation of CostSensitiveClassifier
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Weka implementation of MultiSearch
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Weka implementation of MultiSearch
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Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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Weka implementation of CostSensitiveClassifier
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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 implementation of FilteredClassifier
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Weka implementation of FilteredClassifier
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Weka implementation of CostSensitiveClassifier
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Weka implementation of FilteredClassifier
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Weka implementation of FilteredClassifier
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Weka implementation of MultiScheme
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Weka implementation of FilteredClassifier
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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 implementation of DecisionStump
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Ron Kohavi: The Power of Decision Tables. In: 8th European Conference on Machine Learning, 174-189, 1995.
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Weka implementation of FilteredClassifier
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Weka implementation of ZeroR
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Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for Naive Bayes Text Classification. In: AAAI-98 Workshop on 'Learning for Text Categorization', 1998.
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R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
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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…
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Weka implementation of CostSensitiveClassifier
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Weka implementation of CostSensitiveClassifier
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Weka implementation of FilteredClassifier
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Weka implementation of AttributeSelectedClassifier
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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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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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David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
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David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
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Weka implementation of MultiClassClassifier
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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 implementation of CostSensitiveClassifier
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Weka implementation of CostSensitiveClassifier
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Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
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Weka implementation of CostSensitiveClassifier
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Learner mlr.classif.rpart from package(s) rpart.
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Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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