OpenML
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20895 results
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.
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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…
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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.
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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…
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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.
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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
weka.AttributeSelectedClassifier_MultiBoostAB_JRip (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.MultiBoostAB_JRip (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_OneR (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.MultiBoostAB_OneR (3)
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.AttributeSelectedClassifier_MultiBoostAB_J48 (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.MultiBoostAB_J48 (3)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
40 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_MultiBoostAB_RandomTree (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.MultiBoostAB_RandomTree (3)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
40 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_MultiBoostAB_REPTree (1)
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach0 impact
weka.MultiBoostAB_REPTree (3)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
126 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_DTNB (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_PART (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_DecisionStump (1)
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach1 impact
weka.AttributeSelectedClassifier_LADTree (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_LMT (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_NBTree (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_RandomTree (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_SimpleLogistic (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
mlr.classif.kknn.preproc.preproc (1)
Learner mlr.classif.kknn.preproc.preproc from package(s) !kknn.
119 runs0 likes0 downloads0 reach0 impact
mlr.classif.kknn.preproc (1)
Learner mlr.classif.kknn.preproc from package(s) !kknn.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.kknn (1)
Learner mlr.classif.kknn from package(s) !kknn.
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mlr.classif.kknn.preproc.preproc (2)
Learner mlr.classif.kknn.preproc.preproc from package(s) !kknn.
1 runs0 likes0 downloads0 reach0 impact
mlr.classif.kknn.preproc.preproc (3)
Learner mlr.classif.kknn.preproc.preproc from package(s) !kknn.
1 runs0 likes0 downloads0 reach0 impact
mlr.classif.kknn.preproc.preproc (3)
Learner mlr.classif.kknn.preproc.preproc from package(s) !kknn.
1 runs0 likes0 downloads0 reach0 impact
mlr.classif.kknn.preproc.preproc (4)
Learner mlr.classif.kknn.preproc.preproc from package(s) !kknn.
1 runs0 likes0 downloads0 reach0 impact
mlr.classif.kknn.preproc.preproc (5)
Learner mlr.classif.kknn.preproc.preproc from package(s) !kknn.
1 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_MultiSearch_IBk (1)
Weka implementation of FilteredClassifier
120 runs0 likes0 downloads0 reach90 impact
weka.MultiSearch_IBk (1)
Weka implementation of MultiSearch
2 runs0 likes0 downloads0 reach0 impact
weka.MultiSearch_IBk (2)
Weka implementation of MultiSearch
3 runs0 likes0 downloads0 reach0 impact
weka.IBk (9)
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
0 runs0 likes0 downloads0 reach0 impact
weka.LibSVM (8)
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…
1599 runs0 likes0 downloads0 reach0 impact
mlr.classif.kknn.preproc.preproc (6)
Learner mlr.classif.kknn.preproc.preproc from package(s) !kknn.
5 runs0 likes0 downloads0 reach0 impact
mlr.classif.kknn.preproc (2)
Learner mlr.classif.kknn.preproc from package(s) !kknn.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.kknn (2)
Learner mlr.classif.kknn from package(s) !kknn.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.naiveBayes.preproc (1)
Learner mlr.classif.naiveBayes.preproc from package(s) e1071.
4 runs0 likes0 downloads0 reach0 impact
mlr.classif.naiveBayes (1)
Learner mlr.classif.naiveBayes from package(s) e1071.
0 runs0 likes0 downloads0 reach0 impact
weka.ZeroR (13)
Weka implementation of ZeroR
44 runs0 likes0 downloads0 reach43 impact
weka.J48 (37)
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
19 runs0 likes0 downloads0 reach18 impact
weka.FilteredClassifier_MultiSearch_J48 (1)
Weka implementation of FilteredClassifier
2 runs0 likes0 downloads0 reach0 impact
weka.MultiSearch_J48 (3)
Weka implementation of MultiSearch
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_MultiSearch_SMO_RBFKernel (1)
Weka implementation of FilteredClassifier
140 runs0 likes0 downloads0 reach17 impact
weka.MultiSearch_SMO_RBFKernel (2)
Weka implementation of MultiSearch
0 runs0 likes0 downloads0 reach0 impact
weka.SMO_RBFKernel (7)
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.FilteredClassifier_MultiSearch_J48 (2)
Weka implementation of FilteredClassifier
133 runs0 likes0 downloads0 reach120 impact
weka.MultiSearch_J48 (4)
Weka implementation of MultiSearch
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_MultiSearch_AdditiveRegression_REPTree (1)
Weka implementation of FilteredClassifier
2 runs0 likes0 downloads0 reach0 impact
weka.MultiSearch_AdditiveRegression_REPTree (1)
Weka implementation of MultiSearch
0 runs0 likes0 downloads0 reach0 impact
weka.AdditiveRegression_REPTree (3)
J.H. Friedman (1999). Stochastic Gradient Boosting.
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_MultiSearch_LogitBoost_REPTree (1)
Weka implementation of FilteredClassifier
87 runs0 likes0 downloads0 reach9 impact
weka.FilteredClassifier_NaiveBayes (1)
Weka implementation of FilteredClassifier
135 runs0 likes0 downloads0 reach85 impact
weka.FilteredClassifier_MultiSearch_Logistic (1)
Weka implementation of FilteredClassifier
120 runs0 likes0 downloads0 reach60 impact
weka.MultiSearch_Logistic (1)
Weka implementation of MultiSearch
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_MultiSearch_RandomForest (1)
Weka implementation of FilteredClassifier
126 runs0 likes0 downloads0 reach61 impact
weka.MultiSearch_RandomForest (1)
Weka implementation of MultiSearch
0 runs0 likes0 downloads0 reach0 impact
mlr.regr.cforest (1)
Learner mlr.regr.cforest from package(s) party.
2 runs0 likes0 downloads0 reach0 impact
mlr.regr.ctree (1)
Learner mlr.regr.ctree from package(s) party.
2 runs0 likes0 downloads0 reach0 impact
mlr.regr.earth (1)
Learner mlr.regr.earth from package(s) earth.
2 runs0 likes0 downloads0 reach0 impact
mlr.regr.fnn (1)
Learner mlr.regr.fnn from package(s) FNN.
2 runs0 likes0 downloads0 reach0 impact
mlr.regr.gbm (1)
Learner mlr.regr.gbm from package(s) gbm.
2 runs0 likes0 downloads0 reach0 impact
mlr.regr.glmnet (1)
Learner mlr.regr.glmnet from package(s) glmnet.
2 runs0 likes0 downloads0 reach0 impact
mlr.regr.km (1)
Learner mlr.regr.km from package(s) DiceKriging.
3 runs0 likes0 downloads0 reach0 impact
mlr.regr.ksvm (1)
Learner mlr.regr.ksvm from package(s) kernlab.
2 runs0 likes0 downloads0 reach0 impact
mlr.regr.lm (1)
Learner mlr.regr.lm from package(s) stats.
2 runs0 likes0 downloads0 reach0 impact
mlr.regr.nnet (1)
Learner mlr.regr.nnet from package(s) nnet.
2 runs0 likes0 downloads0 reach0 impact
mlr.regr.pcr (1)
Learner mlr.regr.pcr from package(s) pls.
2 runs0 likes0 downloads0 reach0 impact
mlr.regr.penalized.lasso (1)
Learner mlr.regr.penalized.lasso from package(s) !penalized.
2 runs0 likes0 downloads0 reach0 impact
mlr.regr.plsr (1)
Learner mlr.regr.plsr from package(s) pls.
2 runs0 likes0 downloads0 reach0 impact
mlr.regr.randomForest (1)
Learner mlr.regr.randomForest from package(s) randomForest.
2 runs0 likes0 downloads0 reach0 impact