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weka.FilteredClassifier_MultiBoostAB_IBk (1)
Weka implementation of FilteredClassifier
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weka.FilteredClassifier_MultiBoostAB_J48 (1)
Weka implementation of FilteredClassifier
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weka.FilteredClassifier_MultiBoostAB_RandomTree (1)
Weka implementation of FilteredClassifier
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weka.FilteredClassifier_MultiBoostAB_REPTree (1)
Weka implementation of FilteredClassifier
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weka.FilteredClassifier_AttributeSelectedClassifier_OneR (1)
Weka implementation of FilteredClassifier
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weka.FilteredClassifier_AttributeSelectedClassifier_REPTree (1)
Weka implementation of FilteredClassifier
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weka.FilteredClassifier_AttributeSelectedClassifier_RandomTree (1)
Weka implementation of FilteredClassifier
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weka.FilteredClassifier_AttributeSelectedClassifier_LMT (1)
Weka implementation of FilteredClassifier
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weka.FilteredClassifier_AttributeSelectedClassifier_HoeffdingTree (1)
Weka implementation of FilteredClassifier
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weka.FilteredClassifier_AttributeSelectedClassifier_DecisionStump (1)
Weka implementation of FilteredClassifier
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weka.FilteredClassifier_AttributeSelectedClassifier_JRip (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_NaiveBayes (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_NaiveBayesUpdateable (1)
Weka implementation of FilteredClassifier
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weka.FilteredClassifier_AttributeSelectedClassifier_PART (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_AdaBoostM1_DecisionStump (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_AdaBoostM1_J48 (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_AdaBoostM1_REPTree (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_Bagging_REPTree (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_Bagging_J48 (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_Bagging_JRip (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_Bagging_DecisionStump (1)
Weka implementation of FilteredClassifier
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weka.FilteredClassifier_AttributeSelectedClassifier_Bagging_NaiveBayes (1)
Weka implementation of FilteredClassifier
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weka.FilteredClassifier_AttributeSelectedClassifier_KStar (1)
Weka implementation of FilteredClassifier
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weka.FilteredClassifier_AttributeSelectedClassifier_BayesNet (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_AdaBoostM1_IBk (1)
Weka implementation of FilteredClassifier
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weka.FilteredClassifier_AttributeSelectedClassifier_AdaBoostM1_NaiveBayes (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_AdaBoostM1_OneR (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_AdaBoostM1_RandomTree (1)
Weka implementation of FilteredClassifier
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weka.FilteredClassifier_AttributeSelectedClassifier_Bagging_IBk (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_Bagging_LMT (1)
Weka implementation of FilteredClassifier
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weka.FilteredClassifier_AttributeSelectedClassifier_Bagging_LWL_DecisionStump (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_Bagging_OneR (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_LWL_DecisionStump (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_LWL_J48 (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_LWL_RandomTree (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_ClassificationViaRegression_M5P (1)
Weka implementation of FilteredClassifier
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weka.FilteredClassifier_AttributeSelectedClassifier_CVParameterSelection_ZeroR (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_IterativeClassifierOptimizer_LogitBoost_DecisionStump (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_LogitBoost_DecisionStump (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_MultiBoostAB_NaiveBayes (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_MultiBoostAB_IBk (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_MultiBoostAB_JRip (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_MultiBoostAB_OneR (1)
Weka implementation of FilteredClassifier
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weka.FilteredClassifier_AttributeSelectedClassifier_MultiBoostAB_RandomTree (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_MultiBoostAB_REPTree (1)
Weka implementation of FilteredClassifier
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weka.FilteredClassifier_AttributeSelectedClassifier_MultiBoostAB_DecisionStump (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_A1DE (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_DTNB (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_NBTree (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_LADTree (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_Dagging_DecisionStump (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_MultiBoostAB_JRip (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_MultiBoostAB_OneR (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_END_ND_J48 (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_RacedIncrementalLogitBoost_DecisionStump (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_A1DE (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_DTNB (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_NBTree (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_LADTree (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_Dagging_DecisionStump (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_END_ND_J48 (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_RacedIncrementalLogitBoost_DecisionStump (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=scripts.machineLearningAlgorithms.WithoutOutliersClassifier(classifier=sklearn.ensemble.forest.RandomForestClassifier,outlierCLF=sklearn.ensemble.iforest.IsolationForest)) (1)
Automatically created scikit-learn flow.
37 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=scripts.machineLearningAlgorithms.WithoutOutliersClassifier(classifier=sklearn.svm.classes.SVC,outlierCLF=sklearn.ensemble.iforest.IsolationForest)) (1)
Automatically created scikit-learn flow.
37 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=scripts.machineLearningAlgorithms.WithoutOutliersClassifier(classifier=sklearn.neighbors.classification.KNeighborsClassifier,outlierCLF=sklearn.ensemble.iforest.IsolationForest)) (1)
Automatically created scikit-learn flow.
37 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(step_0=automl.components.feature_preprocessing.multi_column_label_encoder.MultiColumnLabelEncoderComponent,step_1=sklearn.discriminant_analysis.LinearDiscriminantAnalysis) (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…
37 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(step_0=automl.util.sklearn.StackingEstimator(estimator=sklearn.linear_model._stochastic_gradient.SGDClassifier),step_1=sklearn.naive_bayes.BernoulliNB) (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…
37 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),decisiontreeclassifier=sklearn.tree._classes.DecisionTreeClassifier) (6)
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…
37 runs0 likes0 downloads0 reach0 impact
weka.NaiveBayesMultinomial (1)
Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for Naive Bayes Text Classification. In: AAAI-98 Workshop on 'Learning for Text Categorization', 1998.
36 runs0 likes1 downloads1 reach0 impact
weka.CostSensitiveClassifier_Bagging_J48 (1)
Weka implementation of CostSensitiveClassifier
36 runs0 likes1 downloads1 reach35 impact
weka.CostSensitiveClassifier_NaiveBayes (2)
Weka implementation of CostSensitiveClassifier
36 runs0 likes1 downloads1 reach35 impact
weka.FilteredClassifier (1)
Weka implementation of FilteredClassifier
36 runs0 likes0 downloads0 reach36 impact
sklearn.pipeline.Pipeline(step_0=automl.components.feature_preprocessing.multi_column_label_encoder.MultiColumnLabelEncoderComponent,step_1=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…
36 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(step_0=sklearn.preprocessing._data.StandardScaler,step_1=sklearn.discriminant_analysis.LinearDiscriminantAnalysis) (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…
36 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(step_0=sklearn.preprocessing._discretization.KBinsDiscretizer,step_1=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…
36 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(imputation=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.naive_bayes.GaussianNB) (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 fit…
36 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_DecisionTable_BestFirst (1)
Weka implementation of AttributeSelectedClassifier
35 runs0 likes1 downloads1 reach0 impact
classif.cvglmnet (2)
Learner classif.cvglmnet from package(s) glmnet.
35 runs0 likes1 downloads1 reach0 impact
classif.ksvm (8)
Learner classif.ksvm from package(s) kernlab.
35 runs0 likes1 downloads1 reach0 impact
sklearn.pipeline.Pipeline(step_0=sklearn.naive_bayes.MultinomialNB) (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…
35 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(step_0=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier) (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…
35 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(step_0=sklearn.preprocessing._data.QuantileTransformer,step_1=sklearn.linear_model._stochastic_gradient.SGDClassifier) (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…
35 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(step_0=sklearn.feature_selection._univariate_selection.SelectPercentile,step_1=sklearn.linear_model._stochastic_gradient.SGDClassifier) (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…
35 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(step_0=automl.util.sklearn.StackingEstimator(estimator=sklearn.naive_bayes.MultinomialNB),step_1=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…
35 runs0 likes0 downloads0 reach0 impact
weka.NaiveBayesMultinomialUpdateable (1)
Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for Naive Bayes Text Classification. In: AAAI-98 Workshop on 'Learning for Text Categorization', 1998.
34 runs0 likes1 downloads1 reach0 impact
classif.randomForestSRC (10)
Learner classif.randomForestSRC from package(s) randomForestSRC.
34 runs0 likes1 downloads1 reach0 impact
classif.JRip (12)
Learner classif.JRip from package(s) RWeka.
34 runs0 likes1 downloads1 reach0 impact
classif.OneR (8)
Learner classif.OneR from package(s) RWeka.
34 runs0 likes1 downloads1 reach0 impact
classif.PART (8)
Learner classif.PART from package(s) RWeka.
34 runs0 likes1 downloads1 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,extratreesclassifier=sklearn.ensemble.forest.ExtraTreesClassifier) (1)
Automatically created scikit-learn flow.
34 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(Classifier=sklearn.neighbors.classification.KNeighborsClassifier) (2)
Automatically created scikit-learn flow.
34 runs0 likes0 downloads0 reach26 impact
sklearn.pipeline.Pipeline(step_0=automl.components.feature_preprocessing.one_hot_encoding.OneHotEncoderComponent,step_1=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…
34 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(step_0=sklearn.decomposition._truncated_svd.TruncatedSVD,step_1=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…
34 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(step_0=automl.util.sklearn.StackingEstimator(estimator=sklearn.linear_model._stochastic_gradient.SGDClassifier),step_1=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier) (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…
34 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(step_0=sklearn.preprocessing._data.RobustScaler,step_1=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier) (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…
34 runs0 likes0 downloads0 reach0 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)),logisticregression=sklearn.linear_model._logistic.LogisticRegression) (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…
34 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_RandomForest (4)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
33 runs0 likes0 downloads0 reach33 impact
sklearn.ensemble.forest.RandomForestClassifier (10)
Flow generated by openml_run
33 runs0 likes7 downloads7 reach24 impact
classif.xgboost (9)
Learner classif.xgboost from package(s) xgboost.
33 runs0 likes1 downloads1 reach0 impact
classif.gbm (9)
Learner classif.gbm from package(s) gbm.
33 runs0 likes1 downloads1 reach0 impact