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moa.LeveragingBag_SGD (1)
Moa implementation of LeveragingBag
166 runs0 likes1 downloads1 reach0 impact
classif.avNNet (8)
Learner classif.avNNet from package(s) nnet.
166 runs0 likes1 downloads1 reach0 impact
moa.HoeffdingOptionTree (1)
Moa implementation of HoeffdingOptionTree
165 runs0 likes1 downloads1 reach0 impact
weka.AttributeSelectedClassifier_MultilayerPerceptron (2)
Weka implementation of AttributeSelectedClassifier
164 runs0 likes0 downloads0 reach0 impact
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump (2)
Weka implementation of IterativeClassifierOptimizer
163 runs0 likes0 downloads0 reach28 impact
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,svc=sklearn.svm.classes.SVC) (1)
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
161 runs0 likes0 downloads0 reach0 impact
classif.IBk (10)
Learner classif.IBk from package(s) RWeka.
160 runs0 likes1 downloads1 reach0 impact
classif.J48 (26)
Learner classif.J48 from package(s) RWeka.
160 runs0 likes1 downloads1 reach0 impact
weka.NaiveBayesUpdateable (9)
George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.
159 runs0 likes1 downloads1 reach159 impact
weka.FilteredClassifier_SMO_RBFKernel (1)
Weka implementation of FilteredClassifier
159 runs0 likes0 downloads0 reach142 impact
classif.pamr (3)
Learner classif.pamr from package(s) pamr.
157 runs0 likes1 downloads1 reach0 impact
classif.lqa (5)
Learner classif.lqa from package(s) lqa.
153 runs0 likes1 downloads1 reach0 impact
classif.plsdaCaret (5)
Learner classif.plsdaCaret from package(s) caret.
153 runs0 likes1 downloads1 reach0 impact
weka.NaiveBayes (14)
George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.
153 runs0 likes1 downloads1 reach151 impact
weka.Bagging_RandomTree (9)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
152 runs0 likes1 downloads1 reach152 impact
weka.SMO (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,…
152 runs0 likes0 downloads0 reach141 impact
classif.J48 (15)
Learner classif.J48 from package(s) RWeka.
150 runs0 likes1 downloads1 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_MultilayerPerceptron (1)
Weka implementation of FilteredClassifier
150 runs0 likes0 downloads0 reach0 impact
classif.hdrda (2)
Learner classif.hdrda from package(s) sparsediscrim.
149 runs0 likes1 downloads1 reach0 impact
classif.gbm (5)
Learner classif.gbm from package(s) gbm.
148 runs0 likes3 downloads3 reach20 impact
classif.gbm (7)
Learner classif.gbm from package(s) gbm.
148 runs0 likes1 downloads1 reach0 impact
classif.svm (9)
Learner classif.svm from package(s) e1071.
148 runs0 likes1 downloads1 reach0 impact
weka.FilteredClassifier_MultilayerPerceptron (2)
Weka implementation of FilteredClassifier
148 runs0 likes0 downloads0 reach148 impact
weka.SimpleLogistic (4)
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…
147 runs0 likes0 downloads0 reach147 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.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.A2DE (5)
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…
145 runs0 likes2 downloads2 reach4 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
moa.AccuracyWeightedEnsemble_WEKAClassifier_Logistic (1)
Moa implementation of AccuracyWeightedEnsemble
143 runs0 likes1 downloads1 reach0 impact
classif.svm (7)
Learner classif.svm from package(s) e1071.
143 runs0 likes2 downloads2 reach16 impact
mlr.classif.develpartykit.ctree (9)
Please use the mlr add-on code https://github.com/HeidiSeibold/sandbox/blob/master/rstuff/openml_newctree/new_ctree_mlr.R and devel partykit package revision 1118:…
143 runs0 likes0 downloads0 reach0 impact
weka.Bagging_NaiveBayes (9)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
141 runs0 likes1 downloads1 reach140 impact
weka.MultiBoostAB_MultilayerPerceptron (2)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
140 runs0 likes2 downloads2 reach20 impact
classif.JRip (9)
Learner classif.JRip from package(s) RWeka.
140 runs0 likes2 downloads2 reach1 impact
weka.AttributeSelectedClassifier_J48 (1)
Weka implementation of AttributeSelectedClassifier
140 runs0 likes0 downloads0 reach3 impact
weka.AttributeSelectedClassifier_NaiveBayes (1)
Weka implementation of AttributeSelectedClassifier
140 runs0 likes1 downloads1 reach0 impact
weka.FilteredClassifier_MultiSearch_SMO_RBFKernel (1)
Weka implementation of FilteredClassifier
140 runs0 likes0 downloads0 reach17 impact
weka.CostSensitiveClassifier_Bagging_RandomTree (2)
Weka implementation of CostSensitiveClassifier
140 runs0 likes0 downloads0 reach141 impact
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.ensemble._weight_boosting.AdaBoostClassifier) (2)
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement…
140 runs0 likes0 downloads0 reach0 impact
classif.OneR (6)
Learner classif.OneR from package(s) RWeka.
139 runs0 likes2 downloads2 reach1 impact
classif.PART (6)
Learner classif.PART from package(s) RWeka.
139 runs0 likes1 downloads1 reach0 impact
weka.Bagging_LMT (3)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
138 runs0 likes0 downloads0 reach3 impact
weka.Bagging_OneR (13)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
138 runs0 likes0 downloads0 reach0 impact
weka.SMO_NormalizedPolyKernel (1)
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,…
137 runs0 likes2 downloads2 reach118 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.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.J48 (41)
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
137 runs0 likes0 downloads0 reach117 impact
weka.CVParameterSelection_ZeroR (3)
R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
136 runs0 likes0 downloads0 reach136 impact
classif.randomForestSRC (7)
Learner classif.randomForestSRC from package(s) randomForestSRC.
136 runs0 likes1 downloads1 reach0 impact
weka.AttributeSelectedClassifier_SMO_PolyKernel (1)
Weka implementation of AttributeSelectedClassifier
136 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.RandomSubSpace_REPTree (6)
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…
135 runs0 likes0 downloads0 reach135 impact
weka.ADTree (7)
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.
135 runs0 likes1 downloads1 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.FilteredClassifier_NaiveBayes (1)
Weka implementation of FilteredClassifier
135 runs0 likes0 downloads0 reach85 impact
weka.RandomCommittee_RandomTree (4)
Weka implementation of RandomCommittee
134 runs0 likes0 downloads0 reach134 impact
classif.kknn (4)
Learner classif.kknn from package(s) !kknn.
134 runs0 likes2 downloads2 reach3 impact
classif.rda (7)
Learner classif.rda from package(s) klaR.
134 runs0 likes1 downloads1 reach0 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.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
classif.avNNet (6)
Learner classif.avNNet from package(s) nnet.
133 runs0 likes3 downloads3 reach12 impact
weka.FilteredClassifier_MultiSearch_J48 (2)
Weka implementation of FilteredClassifier
133 runs0 likes0 downloads0 reach120 impact
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,columntransformer=sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing._data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),randomforestclassifier=sklearn.ensemble._forest.RandomForestClassifier) (1)
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
133 runs0 likes0 downloads0 reach0 impact
classif.ranger (5)
Learner classif.ranger from package(s) ranger.
132 runs0 likes1 downloads1 reach0 impact
weka.Stacking_J48 (2)
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
132 runs0 likes1 downloads1 reach131 impact
weka.Bagging_HoeffdingTree (3)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
131 runs0 likes2 downloads2 reach131 impact
classif.neuralnet (3)
Learner classif.neuralnet from package(s) neuralnet.
131 runs0 likes1 downloads1 reach0 impact
classif.glmnet (3)
Learner classif.glmnet from package(s) !glmnet.
131 runs0 likes1 downloads1 reach0 impact
classif.naiveBayes (6)
Learner classif.naiveBayes from package(s) e1071.
131 runs0 likes3 downloads3 reach2 impact
moa.BLAST (2)
Moa implementation of BLAST
131 runs0 likes3 downloads3 reach57 impact
weka.Bagging_LWL_DecisionStump (3)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
131 runs0 likes0 downloads0 reach2 impact
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.neural_network._multilayer_perceptron.MLPClassifier) (2)
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement…
131 runs0 likes0 downloads0 reach0 impact
classif.ksvm (6)
Learner classif.ksvm from package(s) kernlab.
129 runs0 likes2 downloads2 reach1 impact
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier) (4)
Randomized search on hyper parameters. RandomizedSearchCV implements a "fit" and a "score" method. It also implements "predict", "predict_proba", "decision_function", "transform" and…
129 runs0 likes0 downloads0 reach0 impact
weka.RandomTree (1)
Weka implementation of RandomTree
128 runs0 likes3 downloads3 reach100 impact
weka.NaiveBayes (1)
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
weka.ComplementNaiveBayes (2)
Jason D. Rennie, Lawrence Shih, Jaime Teevan, David R. Karger: Tackling the Poor Assumptions of Naive Bayes Text Classifiers. In: ICML, 616-623, 2003.
127 runs0 likes1 downloads1 reach0 impact
weka.MultiClassClassifierUpdateable_SGD (3)
Weka implementation of MultiClassClassifierUpdateable
127 runs0 likes1 downloads1 reach125 impact
moa.MajorityVoteEnsemble (2)
Moa implementation of MajorityVoteEnsemble
127 runs0 likes0 downloads0 reach0 impact
weka.JRip (1)
William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
126 runs0 likes3 downloads3 reach95 impact
weka.DecisionStump (1)
Weka implementation of DecisionStump
126 runs0 likes3 downloads3 reach97 impact
weka.MultiBoostAB_DecisionStump (1)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
126 runs0 likes1 downloads1 reach0 impact
weka.MultiScheme_REPTree (1)
Weka implementation of MultiScheme
126 runs0 likes1 downloads1 reach125 impact
moa.kNN (2)
Moa implementation of kNN
126 runs0 likes2 downloads2 reach80 impact
moa.SGD (2)
Moa implementation of SGD
126 runs0 likes2 downloads2 reach124 impact
moa.SPegasos (2)
Moa implementation of SPegasos
126 runs0 likes2 downloads2 reach124 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.FilteredClassifier_MultiSearch_RandomForest (1)
Weka implementation of FilteredClassifier
126 runs0 likes0 downloads0 reach61 impact
mlr.classif.naiveBayes.preproc.preproc (4)
Learner mlr.classif.naiveBayes.preproc.preproc from package(s) e1071.
126 runs0 likes0 downloads0 reach0 impact
weka.SMO_RBFKernel (8)
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,…
126 runs0 likes0 downloads0 reach8 impact
weka.Logistic (1)
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
classif.nnet (5)
Learner classif.nnet from package(s) nnet.
123 runs0 likes2 downloads2 reach1 impact
moa.SGD (3)
Moa implementation of SGD
122 runs0 likes0 downloads0 reach2 impact
classif.boosting (6)
Learner classif.boosting from package(s) adabag, rpart.
121 runs0 likes2 downloads2 reach1 impact
weka.Vote (1)
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…
121 runs0 likes1 downloads1 reach121 impact
weka.MultiBoostAB_RandomForest (1)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
120 runs0 likes2 downloads2 reach0 impact
weka.Winnow (3)
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…
120 runs0 likes2 downloads2 reach6 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.FilteredClassifier_MultiSearch_IBk (1)
Weka implementation of FilteredClassifier
120 runs0 likes0 downloads0 reach90 impact
weka.FilteredClassifier_MultiSearch_Logistic (1)
Weka implementation of FilteredClassifier
120 runs0 likes0 downloads0 reach60 impact