OpenML
Ron Kohavi: The Power of Decision Tables. In: 8th European Conference on Machine Learning, 174-189, 1995.
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Weka implementation of CostSensitiveClassifier
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Weka implementation of MultiClassClassifier
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Automatically created sub-component.
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Learner mlr.classif.randomForest from package(s) randomForest.
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Weka implementation of REPTree
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Weka implementation of CostSensitiveClassifier
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J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
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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…
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Weka implementation of FilteredClassifier
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Weka implementation of CostSensitiveClassifier
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Weka implementation of RandomizableFilteredClassifier
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Automatically created scikit-learn flow.
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David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
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Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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N. Littlestone (1988). Learning quickly when irrelevant attributes are abound: A new linear threshold algorithm. Machine Learning. 2:285-318. N. Littlestone (1989). Mistake bounds and logarithmic…
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H. Zhang, L. Jiang, J. Su: Hidden Naive Bayes. In: Twentieth National Conference on Artificial Intelligence, 919-924, 2005.
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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…
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S. Shalev-Shwartz, Y. Singer, N. Srebro: Pegasos: Primal Estimated sub-GrAdient SOlver for SVM. In: 24th International Conference on MachineLearning, 807-814, 2007.
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Learner classif.randomForest from package(s) randomForest.
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Learner classif.lda from package(s) MASS.
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Learner classif.logreg from package(s) stats.
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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 CostSensitiveClassifier
5 runs0 likes1 downloads1 reach5 impact
Learner mlr.classif.randomForest from package(s) randomForest.
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D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
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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 CostSensitiveClassifier
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Weka implementation of RandomizableFilteredClassifier
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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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George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.
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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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Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
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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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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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Learner mlr.classif.rpart from package(s) rpart.
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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,…
1208 runs0 likes2 downloads2 reach5 impact
Webb, Geoffrey I., Boughton, Janice, Zheng, Fei, Ting, Kai Ming, Salem, Houssam (2012). Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive…
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Flow generated by run_task
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Flow generated by run_task
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Learner mlr.classif.rpart from package(s) rpart.
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Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
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Weka implementation of CostSensitiveClassifier
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Weka implementation of CostSensitiveClassifier
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Weka implementation of REPTree
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Automatically created sub-component.
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Automatically created sub-component.
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Weka implementation of RandomTree
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Ron Kohavi: The Power of Decision Tables. In: 8th European Conference on Machine Learning, 174-189, 1995.
5 runs0 likes5 downloads5 reach4 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2878 runs0 likes2 downloads2 reach4 impact
Learner classif.lda from package(s) MASS.
83 runs0 likes2 downloads2 reach4 impact
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 implementation of RandomizableFilteredClassifier
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Weka implementation of RandomizableFilteredClassifier
13 runs0 likes0 downloads0 reach4 impact
Weka implementation of FilteredClassifier
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Weka implementation of CostSensitiveClassifier
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Weka implementation of RandomizableFilteredClassifier
6 runs0 likes0 downloads0 reach4 impact
Weka implementation of CostSensitiveClassifier
5 runs0 likes0 downloads0 reach4 impact
Automatically created scikit-learn flow.
4 runs0 likes0 downloads0 reach4 impact
Automatically created scikit-learn flow.
9 runs0 likes0 downloads0 reach4 impact
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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John G. Cleary, Leonard E. Trigg: K*: An Instance-based Learner Using an Entropic Distance Measure. In: 12th International Conference on Machine Learning, 108-114, 1995.
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Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
4 runs0 likes0 downloads0 reach4 impact
Automatically created scikit-learn flow.
4 runs0 likes0 downloads0 reach4 impact
Learner mlr.classif.rpart from package(s) rpart.
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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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Learner classif.rpart from package(s) rpart.
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Weka implementation of CostSensitiveClassifier
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Arie Ben-David (1992). Automatic Generation of Symbolic Multiattribute Ordinal Knowledge-Based DSSs: methodology and Applications. Decision Sciences. 23:1357-1372.
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Weka implementation of AttributeSelectedClassifier
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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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Weka implementation of DecisionStump
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Geoff Hulten, Laurie Spencer, Pedro Domingos: Mining time-changing data streams. In: ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, 97-106, 2001.
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
3 runs0 likes0 downloads0 reach3 impact
Weka implementation of CostSensitiveClassifier
5 runs0 likes0 downloads0 reach3 impact
R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
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Weka implementation of RandomCommittee
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Weka implementation of CostSensitiveClassifier
4 runs0 likes0 downloads0 reach3 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
4 runs0 likes0 downloads0 reach3 impact