OpenML

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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weka.NaiveBayesUpdateable (11)

George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.

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xgboost.sklearn.XGBClassifier (2)

Flow generated by run_task

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sklearn.ensemble.weight_boosting.AdaBoostClassifier (4)

Flow generated by run_task

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mlr.classif.randomForest.preproc (4)

Learner mlr.classif.randomForest.preproc from package(s) randomForest.

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mlr.classif.ctree (10)

Learner mlr.classif.ctree from package(s) party.

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sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,votingclassifier=sklearn.ensemble.voting_classifier.VotingClassifier(voting=sklearn.ensemble.forest.RandomForestClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=xgboost.sklearn.XGBClassifier)) (1)

Automatically created scikit-learn flow.

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sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,select=sklearn.feature_selection.univariate_selection.SelectPercentile,scaler=sklearn.preprocessing.data.MinMaxScaler,Classifier=sklearn.neighbors.classification.KNeighborsClassifier)) (1)

Automatically created sub-component.

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DeepForest.DeepForest (2)

Automatically created scikit-learn flow.

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sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.ensemble.forest.RandomForestClassifier) (1)

Automatically created sub-component.

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sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,votingclassifier=sklearn.ensemble.voting_classifier.VotingClassifier(voting=sklearn.ensemble.forest.RandomForestClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=aucbooster.AUCBooster)) (1)

Automatically created scikit-learn flow.

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Voter.Voter (1)

Automatically created scikit-learn flow.

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weka.CostSensitiveClassifier_ZeroR (3)

Weka implementation of CostSensitiveClassifier

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sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,robustscaler=sklearn.preprocessing.data.RobustScaler,lr=__main__.LR) (1)

Automatically created scikit-learn flow.

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weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_RandomForest (1)

Weka implementation of FilteredClassifier

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weka.CostSensitiveClassifier_AdaBoostM1_RandomForest (1)

Weka implementation of CostSensitiveClassifier

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xgboost.sklearn.XGBClassifier (7)

Automatically created scikit-learn flow.

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mlr.classif.rpart (53)

Learner mlr.classif.rpart from package(s) rpart.

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sklearn.tree.tree.DecisionTreeClassifier (36)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(features=sklearn.pipeline.Pipeline2(V1=sklearn.compose._column_transformer.ColumnTransformer1(identity=sklearn.preprocessing._function_transformer.FunctionTransformer0)),classifier=sklearn.linear_model.logistic.LogisticRegression) (1)

Automatically created scikit-learn flow.

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weka.RotationForest_PrincipalComponents_DecisionStump (1)

Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630.…

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weka.RotationForest_PrincipalComponents_JRip (1)

Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630.…

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weka.RotationForest_PrincipalComponents_OneR (1)

Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630.…

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weka.RotationForest_PrincipalComponents_IBk (1)

Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630.…

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weka.RotationForest_PrincipalComponents_NaiveBayes (1)

Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630.…

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weka.RotationForest_PrincipalComponents_HNB (1)

Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630.…

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weka.RotationForest_PrincipalComponents_MultilayerPerceptron (1)

Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630.…

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weka.RotationForest_PrincipalComponents_SMO_PolyKernel (1)

Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630.…

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weka.RotationForest_PrincipalComponents_SPegasos (1)

Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630.…

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weka.DecisionTable_BestFirst (3)

Ron Kohavi: The Power of Decision Tables. In: 8th European Conference on Machine Learning, 174-189, 1995.

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weka.Bagging_GaussianProcesses_PolyKernel (2)

Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.

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weka.MultiBoostAB_SMO_PolyKernel (2)

Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).

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weka.RotationForest_PrincipalComponents_NaiveBayes (2)

Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630.…

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weka.RotationForest_PrincipalComponents_MultilayerPerceptron (2)

Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630.…

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weka.RotationForest_PrincipalComponents_SMO_PolyKernel (2)

Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630.…

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weka.RotationForest_PrincipalComponents_IBk (2)

Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630.…

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weka.RotationForest_PrincipalComponents_JRip (2)

Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630.…

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weka.RotationForest_PrincipalComponents_OneR (2)

Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630.…

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weka.RotationForest_PrincipalComponents_ZeroR (2)

Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630.…

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weka.RotationForest_PrincipalComponents_DecisionStump (2)

Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630.…

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weka.RotationForest_PrincipalComponents_RandomForest (2)

Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630.…

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weka.RotationForest_PrincipalComponents_RandomTree (2)

Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630.…

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weka.RotationForest_PrincipalComponents_REPTree (2)

Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630.…

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weka.RotationForest_PrincipalComponents_BFTree (1)

Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630.…

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classif.rpart (23)

Learner classif.rpart from package(s) rpart.

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classif.randomForest (35)

Learner classif.randomForest from package(s) randomForest.

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regr.rpart (3)

Learner regr.rpart from package(s) rpart.

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classif.J48 (17)

Learner classif.J48 from package(s) RWeka.

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classif.LiblineaRL2LogReg (1)

Learner classif.LiblineaRL2LogReg from package(s) LiblineaR.

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classif.lqa (1)

Learner classif.lqa from package(s) lqa.

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classif.OneR (1)

Learner classif.OneR from package(s) RWeka.

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classif.randomForest (37)

Learner classif.randomForest from package(s) randomForest.

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classif.randomForestSRC (1)

Learner classif.randomForestSRC from package(s) randomForestSRC.

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classif.sda (3)

Learner classif.sda from package(s) sda.

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classif.svm (3)

Learner classif.svm from package(s) e1071.

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weka.ClassificationViaRegression_RandomForest (1)

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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weka.CostSensitiveClassifier_PART (2)

Weka implementation of CostSensitiveClassifier

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classif.nodeHarvest (1)

Learner classif.nodeHarvest from package(s) nodeHarvest.

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classif.LiblineaRL2LogReg (3)

Learner classif.LiblineaRL2LogReg from package(s) LiblineaR.

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classif.bdk (2)

Learner classif.bdk from package(s) kohonen.

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classif.dbnDNN (2)

Learner classif.dbnDNN from package(s) deepnet.

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classif.extraTrees (2)

Learner classif.extraTrees from package(s) extraTrees.

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classif.hdrda (1)

Learner classif.hdrda from package(s) sparsediscrim.

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classif.lqa (4)

Learner classif.lqa from package(s) lqa.

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classif.mlp (4)

Learner classif.mlp from package(s) RSNNS.

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classif.neuralnet (2)

Learner classif.neuralnet from package(s) neuralnet.

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classif.nnTrain (2)

Learner classif.nnTrain from package(s) deepnet.

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classif.pamr (2)

Learner classif.pamr from package(s) pamr.

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classif.plsdaCaret (2)

Learner classif.plsdaCaret from package(s) caret.

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classif.saeDNN (2)

Learner classif.saeDNN from package(s) deepnet.

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classif.sda (4)

Learner classif.sda from package(s) sda.

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classif.xyf (1)

Learner classif.xyf from package(s) kohonen.

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classif.randomForest (45)

Learner classif.randomForest from package(s) randomForest.

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classif.randomForest (46)

Learner classif.randomForest from package(s) randomForest.

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sklearn.pipeline.Pipeline(svc=sklearn.svm.classes.SVC) (3)

Automatically created scikit-learn flow.

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sklearn.tree.tree.ExtraTreeClassifier (27)

Automatically created scikit-learn flow.

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Framework.custom_sklearn_pipeline.S1_Branch_Pipeline(cluster_block=Framework.building_blocks.ClusterBlock(test_set_model=sklearn.neighbors.classification.KNeighborsClassifier,training_set_model=sklearn.cluster.k_means_.KMeans),ensemble_block=Framework.building_blocks.EnsembleBlock,explainer_block=Framework.building_blocks.ExplainerBlock,processing_block=Framework.building_blocks.ProcessingBlock) (1)

Data -> Explainer_model -> Prediction

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xgboost.sklearn.XGBClassifier (10)

Implementation of the scikit-learn API for XGBoost classification.

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sklearn.naive_bayes.GaussianNB (18)

Gaussian Naive Bayes (GaussianNB) Can perform online updates to model parameters via :meth:`partial_fit`. For details on algorithm used to update feature means and variance online, see Stanford CS…

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mxnet.gluon.nn.basic_layers.HybridSequential.f4ce7786 (1)

Automatically created MXNet flow.

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mlr.regr.randomForest (4)

Learner mlr.regr.randomForest from package(s) randomForest.

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mxnet.gluon.nn.basic_layers.HybridSequential.cce30325 (1)

Automatically created MXNet flow.

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mlr.costsens.classif.ranger (1)

Learner mlr.costsens.classif.ranger from package(s) ranger.