OpenML
Weka implementation of CostSensitiveClassifier
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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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Learner mlr.classif.glmnet from package(s) glmnet.
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Moa implementation of StackingAttemptV2
52 runs0 likes2 downloads2 reach33 impact
Learner classif.IBk from package(s) RWeka.
52 runs0 likes1 downloads1 reach0 impact
Automatically created scikit-learn flow.
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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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Tin Kam Ho (1998). The Random Subspace Method for Constructing Decision Forests. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(8):832-844. URL…
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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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Moa implementation of StackingAttemptV2
51 runs0 likes2 downloads2 reach11 impact
Learner classif.nnTrain from package(s) deepnet.
51 runs0 likes1 downloads1 reach0 impact
Flow generated by run_task
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Learner mlr.classif.lda.preproc from package(s) MASS.
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Weka implementation of MultiClassClassifier
51 runs0 likes1 downloads1 reach0 impact
le Cessie, S., van Houwelingen, J.C. (1992). Ridge Estimators in Logistic Regression. Applied Statistics. 41(1):191-201.
51 runs0 likes1 downloads1 reach0 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
Weka implementation of AttributeSelectedClassifier
51 runs0 likes0 downloads0 reach50 impact
Learner classif.randomForest from package(s) randomForest.
50 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…
50 runs0 likes2 downloads2 reach1 impact
Weka implementation of FilteredClassifier
50 runs0 likes0 downloads0 reach49 impact
Learner mlr.classif.cforest.preproc from package(s) party.
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Learner mlr.classif.multinom.preproc from package(s) nnet.
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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.
50 runs0 likes2 downloads2 reach37 impact
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.
50 runs0 likes2 downloads2 reach45 impact
Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
50 runs0 likes0 downloads0 reach33 impact
Learner classif.ranger from package(s) ranger.
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Learner mlr.classif.rpart.preproc from package(s) rpart.
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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.
49 runs0 likes3 downloads3 reach37 impact
Moa implementation of LeveragingBag
49 runs0 likes1 downloads1 reach0 impact
Automatically created scikit-learn flow.
49 runs0 likes0 downloads0 reach48 impact
Learner classif.rpart from package(s) rpart.
48 runs0 likes1 downloads1 reach0 impact
Automatically created scikit-learn flow.
48 runs0 likes0 downloads0 reach40 impact
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
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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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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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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…
47 runs0 likes2 downloads2 reach32 impact
Moa implementation of AccuracyWeightedEnsemble
47 runs0 likes1 downloads1 reach0 impact
Weka implementation of FilteredClassifier
47 runs0 likes0 downloads0 reach45 impact
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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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,…
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Learner classif.ada from package(s) ada.
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Learner classif.svm from package(s) e1071.
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Learner classif.glmnet from package(s) glmnet.
46 runs0 likes1 downloads1 reach0 impact
Learner classif.kknn from package(s) !kknn.
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Ross J. Quinlan: Learning with Continuous Classes. In: 5th Australian Joint Conference on Artificial Intelligence, Singapore, 343-348, 1992. Y. Wang, I. H. Witten: Induction of model trees for…
46 runs0 likes1 downloads1 reach0 impact
Automatically created scikit-learn flow.
46 runs0 likes0 downloads0 reach25 impact
Moa implementation of AMRulesRegressor
45 runs0 likes2 downloads2 reach40 impact
Automatically created sub-component.
45 runs0 likes0 downloads0 reach35 impact
Learner mlr.classif.ctree from package(s) party.
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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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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
45 runs0 likes2 downloads2 reach33 impact
Flow generated by run_task
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Weka implementation of ZeroR
44 runs0 likes0 downloads0 reach43 impact
Mark Hall, Eibe Frank: Combining Naive Bayes and Decision Tables. In: Proceedings of the 21st Florida Artificial Intelligence Society Conference (FLAIRS), 318-319, 2008.
44 runs0 likes2 downloads2 reach32 impact
Weka implementation of FilteredClassifier
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Weka implementation of AttributeSelectedClassifier
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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.
43 runs0 likes1 downloads1 reach0 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…
43 runs0 likes2 downloads2 reach41 impact
Weka implementation of FilteredClassifier
43 runs0 likes0 downloads0 reach42 impact
Weka implementation of RandomizableFilteredClassifier
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Automatically created scikit-learn flow.
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Weka implementation of AttributeSelectedClassifier
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Weka implementation of AttributeSelectedClassifier
42 runs0 likes0 downloads0 reach0 impact
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
42 runs0 likes0 downloads0 reach0 impact
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
42 runs0 likes0 downloads0 reach0 impact
Learner classif.IBk from package(s) RWeka.
41 runs0 likes1 downloads1 reach0 impact
Ron Kohavi: The Power of Decision Tables. In: 8th European Conference on Machine Learning, 174-189, 1995.
41 runs0 likes4 downloads4 reach30 impact
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach0 impact
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
41 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach1 impact
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
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…
41 runs0 likes2 downloads2 reach36 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
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
41 runs0 likes2 downloads2 reach4 impact
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
41 runs0 likes2 downloads2 reach35 impact
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
41 runs0 likes2 downloads2 reach35 impact
Weka implementation of FilteredClassifier
41 runs0 likes0 downloads0 reach39 impact
Moa implementation of WeightedEnsemble
40 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact