OpenML
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845 results
moa.RuleClassifier (2)
Moa implementation of RuleClassifier
37 runs0 likes2 downloads2 reach7 impact
weka.MathParameter (1)
Weka implementation of MathParameter
0 runs0 likes0 downloads0 reach0 impact
weka.J48 (35)
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
0 runs0 likes0 downloads0 reach0 impact
weka.MultiSearch_J48 (1)
Weka implementation of MultiSearch
519 runs0 likes1 downloads1 reach0 impact
weka.MultiSearch_SMO_RBFKernel (1)
Weka implementation of MultiSearch
279 runs0 likes1 downloads1 reach0 impact
weka.SMO_RBFKernel (5)
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,…
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_RandomForest (1)
Weka implementation of AttributeSelectedClassifier
100 runs0 likes1 downloads1 reach0 impact
weka.AttributeSelectedClassifier_MultilayerPerceptron (1)
Weka implementation of AttributeSelectedClassifier
208 runs0 likes1 downloads1 reach0 impact
weka.AttributeSelectedClassifier_SMO_PolyKernel (1)
Weka implementation of AttributeSelectedClassifier
136 runs0 likes0 downloads0 reach0 impact
weka.SMO_PolyKernel (14)
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,…
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Logistic (1)
Weka implementation of AttributeSelectedClassifier
30 runs0 likes1 downloads1 reach0 impact
weka.AttributeSelectedClassifier_J48 (1)
Weka implementation of AttributeSelectedClassifier
140 runs0 likes0 downloads0 reach3 impact
weka.AttributeSelectedClassifier_IBk (1)
Weka implementation of AttributeSelectedClassifier
385 runs0 likes1 downloads1 reach0 impact
weka.AttributeSelectedClassifier_NaiveBayes (1)
Weka implementation of AttributeSelectedClassifier
140 runs0 likes1 downloads1 reach0 impact
weka.AttributeSelectedClassifier_HoeffdingTree (1)
Weka implementation of AttributeSelectedClassifier
101 runs0 likes1 downloads1 reach0 impact
weka.AttributeSelectedClassifier_REPTree (1)
Weka implementation of AttributeSelectedClassifier
101 runs0 likes1 downloads1 reach0 impact
weka.AttributeSelectedClassifier_SGD (1)
Weka implementation of AttributeSelectedClassifier
82 runs0 likes1 downloads1 reach0 impact
weka.AttributeSelectedClassifier_JRip (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.MultiSearch_LinearRegression (1)
Weka implementation of MultiSearch
5 runs0 likes0 downloads0 reach0 impact
weka.LinearRegression (7)
Weka implementation of LinearRegression
0 runs0 likes0 downloads0 reach0 impact
weka.MultiSearch_J48 (2)
Weka implementation of MultiSearch
6 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_ZeroR (1)
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_OneR (1)
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_AdaBoostM1_DecisionStump (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_DecisionStump (16)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Bagging_REPTree (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.Bagging_REPTree (22)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.DecisionTable (1)
Ron Kohavi: The Power of Decision Tables. In: 8th European Conference on Machine Learning, 174-189, 1995.
1144 runs0 likes0 downloads0 reach6 impact
weka.AttributeSelectedClassifier_BayesNet (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.BayesNet (1)
Weka implementation of BayesNet
290 runs0 likes0 downloads0 reach2 impact
weka.AttributeSelectedClassifier_SMO_RBFKernel (1)
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach0 impact
weka.SMO_RBFKernel (6)
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,…
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_A1DE (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_AdaBoostM1_IBk (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_IBk (5)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
176 runs0 likes0 downloads0 reach1 impact
weka.AttributeSelectedClassifier_AdaBoostM1_J48 (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_J48 (4)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_AdaBoostM1_LMT (1)
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_LMT (3)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
145 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_AdaBoostM1_NaiveBayes (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_NaiveBayes (3)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
265 runs0 likes0 downloads0 reach7 impact
weka.AttributeSelectedClassifier_AdaBoostM1_OneR (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_OneR (3)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
146 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_AdaBoostM1_RandomTree (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_RandomTree (3)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
146 runs0 likes1 downloads1 reach1 impact
weka.AttributeSelectedClassifier_AdaBoostM1_REPTree (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_REPTree (11)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Bagging_DecisionStump (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.Bagging_DecisionStump (4)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Bagging_IBk (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.Bagging_IBk (4)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Bagging_J48 (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.Bagging_J48 (7)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Bagging_JRip (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.Bagging_JRip (4)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Bagging_LMT (1)
Weka implementation of AttributeSelectedClassifier
42 runs0 likes0 downloads0 reach0 impact
weka.Bagging_LMT (3)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
138 runs0 likes0 downloads0 reach3 impact
weka.AttributeSelectedClassifier_Bagging_LWL_DecisionStump (1)
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach0 impact
weka.Bagging_LWL_DecisionStump (3)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
131 runs0 likes0 downloads0 reach2 impact
weka.LWL_DecisionStump (4)
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…
134 runs0 likes0 downloads0 reach1 impact
weka.AttributeSelectedClassifier_Bagging_NaiveBayes (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.Bagging_NaiveBayes (10)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Bagging_OneR (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.Bagging_OneR (13)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
138 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Bagging_RandomTree (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.Bagging_RandomTree (10)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_NaiveBayesUpdateable (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_KStar (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_LWL_DecisionStump (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.LWL_DecisionStump (5)
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…
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_LWL_J48 (1)
Weka implementation of AttributeSelectedClassifier
42 runs0 likes0 downloads0 reach0 impact
weka.LWL_J48 (3)
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…
120 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_LWL_RandomTree (1)
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach0 impact
weka.LWL_RandomTree (3)
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…
134 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_ClassificationViaRegression_M5P (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.ClassificationViaRegression_M5P (3)
E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
135 runs0 likes0 downloads0 reach2 impact
weka.AttributeSelectedClassifier_CVParameterSelection_ZeroR (1)
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach0 impact
weka.CVParameterSelection_ZeroR (4)
R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Dagging_DecisionStump (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.Dagging_DecisionStump (4)
Ting, K. M., Witten, I. H.: Stacking Bagged and Dagged Models. In: Fourteenth international Conference on Machine Learning, San Francisco, CA, 367-375, 1997.
40 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_END_ND_J48 (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.END_ND_J48 (4)
Lin Dong, Eibe Frank, Stefan Kramer: Ensembles of Balanced Nested Dichotomies for Multi-class Problems. In: PKDD, 84-95, 2005. Eibe Frank, Stefan Kramer: Ensembles of nested dichotomies for…
136 runs0 likes0 downloads0 reach0 impact
weka.ND_J48 (4)
Lin Dong, Eibe Frank, Stefan Kramer: Ensembles of Balanced Nested Dichotomies for Multi-class Problems. In: PKDD, 84-95, 2005. Eibe Frank, Stefan Kramer: Ensembles of nested dichotomies for…
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_IterativeClassifierOptimizer_LogitBoost_DecisionStump (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump (2)
Weka implementation of IterativeClassifierOptimizer
163 runs0 likes0 downloads0 reach28 impact
weka.LogitBoost_DecisionStump (7)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_RacedIncrementalLogitBoost_DecisionStump (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.RacedIncrementalLogitBoost_DecisionStump (4)
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.
137 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_RandomCommittee_RandomTree (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.RandomCommittee_RandomTree (5)
Weka implementation of RandomCommittee
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_RandomSubSpace_REPTree (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.RandomSubSpace_REPTree (8)
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…
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_LogitBoost_DecisionStump (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.LogitBoost_DecisionStump (8)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_MultiBoostAB_DecisionStump (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.MultiBoostAB_DecisionStump (4)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
137 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_MultiBoostAB_NaiveBayes (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.MultiBoostAB_NaiveBayes (3)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
42 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_MultiBoostAB_IBk (1)
Weka implementation of AttributeSelectedClassifier
43 runs0 likes0 downloads0 reach0 impact
weka.MultiBoostAB_IBk (3)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
47 runs0 likes0 downloads0 reach0 impact