OpenML
George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.
127 runs0 likes3 downloads3 reach105 impact
David J.C. Mackay (1998). Introduction to Gaussian Processes. Dept. of Physics, Cambridge University, UK.
104 runs0 likes1 downloads1 reach104 impact
Flow generated by run_task
103 runs0 likes0 downloads0 reach103 impact
J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
374 runs0 likes2 downloads2 reach102 impact
S. Lievens, B. De Baets, K. Cao-Van (2006). A Probabilistic Framework for the Design of Instance-Based Supervised Ranking Algorithms in an Ordinal Setting. Annals of Operations Research.. Kim Cao-Van…
112 runs0 likes2 downloads2 reach101 impact
Weka implementation of RandomTree
128 runs0 likes3 downloads3 reach100 impact
Weka implementation of AttributeSelectedClassifier
1212 runs0 likes2 downloads2 reach100 impact
Weka implementation of DecisionStump
126 runs0 likes3 downloads3 reach97 impact
Weka implementation of RandomTree
489 runs0 likes3 downloads3 reach96 impact
Weka implementation of CostSensitiveClassifier
100 runs0 likes0 downloads0 reach96 impact
William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
126 runs0 likes3 downloads3 reach95 impact
Learner classif.rpart from package rpart.
94 runs0 likes3 downloads3 reach94 impact
Weka implementation of ZeroR
95 runs0 likes0 downloads0 reach94 impact
le Cessie, S., van Houwelingen, J.C. (1992). Ridge Estimators in Logistic Regression. Applied Statistics. 41(1):191-201.
124 runs0 likes3 downloads3 reach94 impact
R. Quinlan (1986). Induction of decision trees. Machine Learning. 1(1):81-106.
110 runs0 likes2 downloads2 reach93 impact
Weka implementation of FilteredClassifier
120 runs0 likes0 downloads0 reach90 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
2483 runs0 likes4 downloads4 reach86 impact
Weka implementation of AttributeSelectedClassifier
457 runs0 likes2 downloads2 reach85 impact
Weka implementation of FilteredClassifier
135 runs0 likes0 downloads0 reach85 impact
Weka implementation of RandomTree
88 runs0 likes9 downloads9 reach85 impact
Weka implementation of MultilayerPerceptron
83 runs0 likes0 downloads0 reach82 impact
Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees. Marc Sumner, Eibe Frank, Mark Hall: Speeding up Logistic Model Tree Induction. In: 9th European Conference on Principles and…
1207 runs0 likes2 downloads2 reach82 impact
Moa implementation of kNN
126 runs0 likes2 downloads2 reach80 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…
335 runs0 likes3 downloads3 reach79 impact
Moa implementation of NaiveBayes
291 runs0 likes14 downloads14 reach78 impact
le Cessie, S., van Houwelingen, J.C. (1992). Ridge Estimators in Logistic Regression. Applied Statistics. 41(1):191-201.
78 runs0 likes0 downloads0 reach77 impact
Weka implementation of RandomCommittee
582 runs0 likes2 downloads2 reach77 impact
Automatically created scikit-learn flow.
76 runs0 likes0 downloads0 reach76 impact
Learner classif.glmboost from package(s) mboost.
76 runs0 likes2 downloads2 reach76 impact
Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
76 runs0 likes3 downloads3 reach75 impact
J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
469 runs0 likes2 downloads2 reach75 impact
J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
83 runs0 likes2 downloads2 reach74 impact
Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark Hall: Racing committees for large datasets. In: Proceedings of the 5th International Conferenceon Discovery Science, 153-164, 2002.
616 runs0 likes2 downloads2 reach73 impact
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…
77 runs0 likes6 downloads6 reach73 impact
Ting, K. M., Witten, I. H.: Stacking Bagged and Dagged Models. In: Fourteenth international Conference on Machine Learning, San Francisco, CA, 367-375, 1997.
538 runs0 likes2 downloads2 reach72 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
3388 runs0 likes2 downloads2 reach71 impact
Moa implementation of LeveragingBag
277 runs0 likes2 downloads2 reach70 impact
Learner classif.J48 from package RWeka.
69 runs0 likes2 downloads2 reach69 impact
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
2505 runs0 likes2 downloads2 reach69 impact
Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall: Multiclass alternating decision trees. In: ECML, 161-172, 2001.
69 runs0 likes2 downloads2 reach68 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
11893 runs0 likes4 downloads4 reach68 impact
Automatically created scikit-learn flow.
67 runs0 likes0 downloads0 reach67 impact
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
2781 runs0 likes2 downloads2 reach66 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2811 runs0 likes2 downloads2 reach65 impact
Automatically created sub-component.
119 runs0 likes0 downloads0 reach64 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1788 runs0 likes2 downloads2 reach64 impact
Weka implementation of IterativeClassifierOptimizer
540 runs0 likes2 downloads2 reach63 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
4769 runs0 likes4 downloads4 reach63 impact
Moa implementation of TargetMean
64 runs0 likes2 downloads2 reach62 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
1434 runs0 likes2 downloads2 reach62 impact
Weka implementation of AttributeSelectedClassifier
459 runs0 likes2 downloads2 reach61 impact
Weka implementation of FilteredClassifier
126 runs0 likes0 downloads0 reach61 impact
Weka implementation of RandomizableFilteredClassifier
63 runs0 likes0 downloads0 reach61 impact
Moa implementation of AdaHoeffdingOptionTree
61 runs0 likes2 downloads2 reach60 impact
Weka implementation of AttributeSelectedClassifier
460 runs0 likes2 downloads2 reach60 impact
Weka implementation of FilteredClassifier
120 runs0 likes0 downloads0 reach60 impact
Flow generated by run_task
100 runs0 likes0 downloads0 reach60 impact
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.
62 runs0 likes6 downloads6 reach60 impact
S. Shalev-Shwartz, Y. Singer, N. Srebro: Pegasos: Primal Estimated sub-GrAdient SOlver for SVM. In: 24th International Conference on MachineLearning, 807-814, 2007.
60 runs0 likes1 downloads1 reach60 impact
Weka implementation of AttributeSelectedClassifier
457 runs0 likes2 downloads2 reach59 impact
Weka implementation of AttributeSelectedClassifier
457 runs0 likes2 downloads2 reach59 impact
Weka implementation of AttributeSelectedClassifier
457 runs0 likes2 downloads2 reach59 impact
Weka implementation of AttributeSelectedClassifier
457 runs0 likes2 downloads2 reach59 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
60 runs0 likes2 downloads2 reach59 impact
Weka implementation of MultilayerPerceptron
83 runs0 likes4 downloads4 reach59 impact
S. Shalev-Shwartz, Y. Singer, N. Srebro: Pegasos: Primal Estimated sub-GrAdient SOlver for SVM. In: 24th International Conference on MachineLearning, 807-814, 2007.
210 runs0 likes2 downloads2 reach58 impact
Moa implementation of MajorityClass
63 runs0 likes2 downloads2 reach58 impact
Weka implementation of AttributeSelectedClassifier
456 runs0 likes2 downloads2 reach58 impact
Weka implementation of AttributeSelectedClassifier
456 runs0 likes2 downloads2 reach58 impact
Weka implementation of AttributeSelectedClassifier
456 runs0 likes2 downloads2 reach58 impact
Weka implementation of AttributeSelectedClassifier
456 runs0 likes2 downloads2 reach58 impact
Automatically created scikit-learn flow.
63 runs0 likes0 downloads0 reach58 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1855 runs0 likes5 downloads5 reach58 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
66 runs0 likes2 downloads2 reach58 impact
Moa implementation of BLAST
131 runs0 likes2 downloads2 reach57 impact
Weka implementation of AttributeSelectedClassifier
455 runs0 likes2 downloads2 reach57 impact
Automatically created sub-component.
58 runs0 likes0 downloads0 reach57 impact
Weka implementation of AttributeSelectedClassifier
466 runs0 likes2 downloads2 reach56 impact
Weka implementation of AttributeSelectedClassifier
456 runs0 likes2 downloads2 reach56 impact
Weka implementation of AttributeSelectedClassifier
456 runs0 likes3 downloads3 reach56 impact
Weka implementation of AttributeSelectedClassifier
454 runs0 likes2 downloads2 reach56 impact
Weka implementation of AttributeSelectedClassifier
454 runs0 likes2 downloads2 reach56 impact
Weka implementation of AttributeSelectedClassifier
454 runs0 likes2 downloads2 reach56 impact
Weka implementation of AttributeSelectedClassifier
454 runs0 likes2 downloads2 reach56 impact
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
84 runs0 likes2 downloads2 reach56 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
829 runs0 likes6 downloads6 reach56 impact
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.
9102 runs0 likes3 downloads3 reach56 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
268 runs0 likes2 downloads2 reach55 impact
Weka implementation of AttributeSelectedClassifier
460 runs0 likes2 downloads2 reach55 impact
Weka implementation of AttributeSelectedClassifier
455 runs0 likes2 downloads2 reach55 impact
Weka implementation of AttributeSelectedClassifier
453 runs0 likes2 downloads2 reach55 impact
Weka implementation of AttributeSelectedClassifier
456 runs0 likes2 downloads2 reach55 impact
J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
303 runs0 likes2 downloads2 reach55 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.
619 runs0 likes4 downloads4 reach55 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1014 runs0 likes3 downloads3 reach55 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…
1039 runs0 likes2 downloads2 reach55 impact
Weka implementation of AttributeSelectedClassifier
477 runs0 likes2 downloads2 reach54 impact