OpenML
Weka implementation of AttributeSelectedClassifier
454 runs0 likes2 downloads2 reach54 impact
J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
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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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P. Melville, R. J. Mooney: Constructing Diverse Classifier Ensembles Using Artificial Training Examples. In: Eighteenth International Joint Conference on Artificial Intelligence, 505-510, 2003. P.…
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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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Moa implementation of OzaBag
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A Hoeffding tree (VFDT) is an incremental, anytime decision tree induction algorithm that is capable of learning from massive data streams, assuming that the distribution generating examples does not…
270 runs0 likes8 downloads8 reach53 impact
Weka implementation of KernelLogisticRegression
4621 runs0 likes2 downloads2 reach52 impact
J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
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Moa implementation of WeightedEnsemble
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Moa implementation of RuleClassifierNBayes
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2692 runs0 likes2 downloads2 reach51 impact
J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
56 runs0 likes2 downloads2 reach51 impact
J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
62 runs0 likes2 downloads2 reach51 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
69 runs0 likes2 downloads2 reach51 impact
Weka implementation of AttributeSelectedClassifier
51 runs0 likes0 downloads0 reach50 impact
E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
57 runs0 likes2 downloads2 reach50 impact
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
4295 runs0 likes3 downloads3 reach50 impact
Weka implementation of FilteredClassifier
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
60 runs0 likes2 downloads2 reach49 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
2353 runs0 likes2 downloads2 reach49 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…
805 runs0 likes2 downloads2 reach49 impact
Moa implementation of Perceptron
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Moa implementation of MajorityClass
246 runs0 likes2 downloads2 reach48 impact
Automatically created scikit-learn flow.
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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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Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
3395 runs0 likes3 downloads3 reach48 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Moa implementation of HoeffdingAdaptiveTree
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Moa implementation of NaiveBayesMultinomial
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Moa implementation of NoChange
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Moa implementation of StackingAttempt
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Moa implementation of StackingAttemptV2
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Moa implementation of OzaBoostAdwin
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Moa implementation of WEKAClassifier
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Moa implementation of WEKAClassifier
192 runs0 likes2 downloads2 reach46 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2485 runs0 likes2 downloads2 reach46 impact
Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for Naive Bayes Text Classification. In: AAAI-98 Workshop on 'Learning for Text Categorization', 1998.
47 runs0 likes7 downloads7 reach46 impact
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
51 runs0 likes2 downloads2 reach46 impact
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
51 runs0 likes2 downloads2 reach46 impact
Moa implementation of OzaBoost
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Moa implementation of kNNwithPAW
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Moa implementation of StackingAttemptV2
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Moa implementation of ASHoeffdingTree
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Moa implementation of WEKAClassifier
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Weka implementation of FilteredClassifier
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Geoffrey Holmes, Mark Hall, Eibe Frank: Generating Rule Sets from Model Trees. In: Twelfth Australian Joint Conference on Artificial Intelligence, 1-12, 1999. Ross J. Quinlan: Learning with Continuous…
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Ron Kohavi: Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. In: Second International Conference on Knoledge Discovery and Data Mining, 202-207, 1996.
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Moa implementation of StackingAttempt
53 runs0 likes2 downloads2 reach44 impact
Moa implementation of NoChange
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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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Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
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Weka implementation of ZeroR
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Moa implementation of WEKAClassifier
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Weka implementation of FilteredClassifier
44 runs0 likes0 downloads0 reach43 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
2514 runs0 likes2 downloads2 reach43 impact
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
590 runs0 likes2 downloads2 reach43 impact
Moa implementation of OzaBagAdwin
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Moa implementation of WEKAClassifier
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Weka implementation of FilteredClassifier
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Moa implementation of LeveragingBag
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Moa implementation of FIMTDD
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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.
2329 runs0 likes2 downloads2 reach41 impact
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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Moa implementation of kNN
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Moa implementation of SGD
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Moa implementation of AMRulesRegressor
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Moa implementation of RandomHoeffdingTree
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Moa implementation of WEKAClassifier
194 runs0 likes2 downloads2 reach40 impact
Automatically created scikit-learn flow.
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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.
2223 runs0 likes2 downloads2 reach40 impact
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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Haijian Shi (2007). Best-first decision tree learning. Hamilton, NZ. Jerome Friedman, Trevor Hastie, Robert Tibshirani (2000). Additive logistic regression : A statistical view of boosting. Annals of…
41 runs0 likes2 downloads2 reach40 impact
Moa implementation of LeveragingBag
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D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
206 runs0 likes2 downloads2 reach39 impact
Weka implementation of FilteredClassifier
41 runs0 likes0 downloads0 reach39 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
2515 runs0 likes3 downloads3 reach39 impact
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…
41 runs0 likes2 downloads2 reach39 impact
Moa implementation of RandomHoeffdingTree
245 runs0 likes4 downloads4 reach39 impact
Moa implementation of RuleClassifier
194 runs0 likes2 downloads2 reach39 impact
Learner mlr.classif.rpart from package(s) rpart.
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Weka implementation of FilteredClassifier
38 runs0 likes0 downloads0 reach38 impact
Automatically created scikit-learn flow.
39 runs0 likes1 downloads1 reach38 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.
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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.
2193 runs0 likes2 downloads2 reach38 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
743 runs0 likes2 downloads2 reach38 impact
Weka implementation of RBFNetwork
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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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Weka implementation of Ridor
258 runs0 likes2 downloads2 reach37 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
175 runs0 likes2 downloads2 reach37 impact
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach37 impact
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach37 impact
Weka implementation of FilteredClassifier
38 runs0 likes0 downloads0 reach37 impact
Weka implementation of FilteredClassifier
38 runs0 likes0 downloads0 reach37 impact
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach37 impact
Weka implementation of FilteredClassifier
38 runs0 likes0 downloads0 reach37 impact
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach37 impact