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sklearn.pipeline.Pipeline(steps__imputer=sklearn.preprocessing.imputation.Imputer,steps__onehotencoder=sklearn.preprocessing.data.OneHotEncoder,steps__variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,steps__randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created sub-component.
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sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.forest.ExtraTreesClassifier,voting=sklearn.ensemble.forest.RandomForestClassifier,n_jobs=xgboost.sklearn.XGBClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.forest.ExtraTreesClassifier,voting=sklearn.ensemble.forest.RandomForestClassifier,estimators_=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=xgboost.sklearn.XGBClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,votingclassifier=sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.forest.ExtraTreesClassifier,voting=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=xgboost.sklearn.XGBClassifier)) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.forest.ExtraTreesClassifier,voting=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=xgboost.sklearn.XGBClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.forest.ExtraTreesClassifier,weights=sklearn.ensemble.forest.RandomForestClassifier,n_jobs=xgboost.sklearn.XGBClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.forest.ExtraTreesClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=xgboost.sklearn.XGBClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,votingclassifier=sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.forest.ExtraTreesClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=xgboost.sklearn.XGBClassifier)) (1)
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sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,votingclassifier=sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.forest.ExtraTreesClassifier,voting=sklearn.ensemble.forest.RandomForestClassifier),voting=sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,voting=xgboost.sklearn.XGBClassifier))) (1)
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sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.forest.ExtraTreesClassifier,voting=sklearn.ensemble.forest.RandomForestClassifier),voting=sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,voting=xgboost.sklearn.XGBClassifier)) (1)
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sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,voting=xgboost.sklearn.XGBClassifier) (1)
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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)
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sklearn.ensemble.voting_classifier.VotingClassifier(voting=sklearn.ensemble.forest.RandomForestClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=xgboost.sklearn.XGBClassifier) (1)
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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)
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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)
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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.ensemble.forest.RandomForestClassifier)) (1)
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sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,select=sklearn.feature_selection.univariate_selection.SelectPercentile,scaler=sklearn.preprocessing.data.MinMaxScaler,Classifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
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DeepForest.DeepForest (2)
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.svm.classes.SVC)) (1)
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sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,select=sklearn.feature_selection.univariate_selection.SelectPercentile,scaler=sklearn.preprocessing.data.MinMaxScaler,Classifier=sklearn.svm.classes.SVC) (1)
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DeepForest.DeepForest (3)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
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mlr.classif.featureless (2)
Learner mlr.classif.featureless from package(s) mlr.
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mlr.classif.randomForest (26)
Learner mlr.classif.randomForest from package(s) randomForest.
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xgboost.sklearn.XGBClassifier (4)
Automatically created scikit-learn flow.
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DeepForest.DeepForest (4)
Automatically created scikit-learn flow.
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__main__.AUC_Booster (1)
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sklearn.pipeline.Pipeline(steps__Imputer=sklearn.preprocessing.imputation.Imputer,steps__OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,steps__Feature_Removal=sklearn.feature_selection.univariate_selection.SelectKBest,steps__Classifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
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sklearn.pipeline.Pipeline(steps__Imputer=sklearn.preprocessing.imputation.Imputer,steps__OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,steps__Feature_Removal=sklearn.feature_selection.univariate_selection.SelectKBest,steps__Classifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
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sklearn.pipeline.Pipeline(steps__preprocessing=sklearn.feature_selection.univariate_selection.SelectPercentile,steps__classifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
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sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.ensemble.forest.RandomForestClassifier) (1)
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sklearn.pipeline.Pipeline(steps__select=sklearn.feature_selection.univariate_selection.SelectPercentile,steps__classifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
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sklearn.pipeline.Pipeline(steps__Imputer=sklearn.preprocessing.imputation.Imputer,steps__OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,steps__select=sklearn.feature_selection.univariate_selection.SelectPercentile,steps__Classifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
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sklearn.pipeline.Pipeline(steps__preprocessing=sklearn.feature_selection.univariate_selection.SelectPercentile,steps__RandomForestClassifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
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sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Feature_Removal=sklearn.feature_selection.univariate_selection.SelectKBest,Classifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(steps__preprocessing=sklearn.preprocessing.imputation.Imputer,steps__OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,steps__Classifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
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sklearn.pipeline.Pipeline(steps__preprocessing=sklearn.preprocessing.imputation.Imputer,steps__Classifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
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sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Feature_Removal=sklearn.feature_selection.univariate_selection.SelectKBest,Classifier=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Feature_Removal=sklearn.feature_selection.univariate_selection.SelectKBest,Classifier=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
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sklearn.linear_model.stochastic_gradient.SGDClassifier (1)
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sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,extratreesclassifier=sklearn.ensemble.forest.ExtraTreesClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.decomposition.pca.PCA (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)
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sklearn.ensemble.weight_boosting.AdaBoostClassifier (5)
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sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.ensemble.forest.RandomForestClassifier) (1)
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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=__main__.SecondGradientBoostingClassifier)) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(voting=sklearn.ensemble.forest.RandomForestClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=__main__.SecondGradientBoostingClassifier) (1)
Automatically created scikit-learn flow.
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__main__.SecondGradientBoostingClassifier (1)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(steps__OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,steps__scaler=sklearn.preprocessing.data.StandardScaler,steps__select=sklearn.feature_selection.univariate_selection.SelectPercentile,steps__model=sklearn.svm.classes.SVC)) (1)
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sklearn.pipeline.Pipeline(steps__OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,steps__scaler=sklearn.preprocessing.data.StandardScaler,steps__select=sklearn.feature_selection.univariate_selection.SelectPercentile,steps__model=sklearn.svm.classes.SVC) (1)
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__main__.AUCLGBMClassifier (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(steps__Imputer=sklearn.preprocessing.imputation.Imputer,steps__scaler=sklearn.preprocessing.data.MinMaxScaler,steps__classifier=sklearn.linear_model.logistic.LogisticRegression) (1)
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sklearn.pipeline.Pipeline(steps__Imputer=sklearn.preprocessing.imputation.Imputer,steps__Classifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)
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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=__main__.AUCBooster)) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(voting=sklearn.ensemble.forest.RandomForestClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=__main__.AUCBooster) (1)
Automatically created scikit-learn flow.
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__main__.AUCBooster (1)
Automatically created scikit-learn flow.
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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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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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aucbooster.AUCBooster (1)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.forest.RandomForestClassifier) (1)
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sklearn.pipeline.Pipeline(steps__Imputer=sklearn.preprocessing.imputation.Imputer,steps__preprocessing=sklearn.preprocessing.data.StandardScaler,steps__select=sklearn.feature_selection.univariate_selection.SelectPercentile,steps__classifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
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sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(steps__OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,steps__scaler=sklearn.preprocessing.data.StandardScaler,steps__select=sklearn.feature_selection.univariate_selection.SelectPercentile,steps__model=sklearn.linear_model.logistic.LogisticRegression)) (1)
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sklearn.pipeline.Pipeline(steps__OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,steps__scaler=sklearn.preprocessing.data.StandardScaler,steps__select=sklearn.feature_selection.univariate_selection.SelectPercentile,steps__model=sklearn.linear_model.logistic.LogisticRegression) (1)
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sklearn.model_selection._search.GridSearchCV(estimator=sklearn.linear_model.logistic.LogisticRegression) (1)
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sklearn.pipeline.Pipeline(OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Feature_Removal=sklearn.feature_selection.univariate_selection.SelectKBest,Classifier=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Feature_Removal=sklearn.feature_selection.univariate_selection.SelectKBest,Classifier=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.voting_classifier.VotingClassifier(estimators__rf=sklearn.ensemble.forest.RandomForestClassifier,estimators__gb=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)) (1)
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sklearn.ensemble.voting_classifier.VotingClassifier(estimators__rf=sklearn.ensemble.forest.RandomForestClassifier,estimators__gb=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)
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mlr.classif.rpart.imputed.filtered (6)
Learner mlr.classif.rpart.imputed.filtered from package(s) rpart.
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sklearn.pipeline.Pipeline(steps__Imputer=sklearn.preprocessing.imputation.Imputer,steps__preprocessing=sklearn.preprocessing.data.StandardScaler,steps__select=sklearn.feature_selection.univariate_selection.SelectPercentile,steps__classifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
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sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(steps__Imputer=sklearn.preprocessing.imputation.Imputer,steps__preprocessing=sklearn.preprocessing.data.RobustScaler,steps__select=sklearn.feature_selection.univariate_selection.SelectPercentile,steps__classifier=sklearn.neighbors.classification.KNeighborsClassifier)) (1)
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sklearn.pipeline.Pipeline(steps__Imputer=sklearn.preprocessing.imputation.Imputer,steps__preprocessing=sklearn.preprocessing.data.RobustScaler,steps__select=sklearn.feature_selection.univariate_selection.SelectPercentile,steps__classifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
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sklearn.pipeline.Pipeline(steps__Imputer=sklearn.preprocessing.imputation.Imputer,steps__preprocessing=sklearn.preprocessing.data.StandardScaler,steps__features=sklearn.feature_selection.univariate_selection.SelectPercentile,steps__classifier=sklearn.svm.classes.SVC) (1)
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sklearn.pipeline.Pipeline(steps__Imputer=sklearn.preprocessing.imputation.Imputer,steps__preprocessing=sklearn.preprocessing.data.StandardScaler,steps__features=sklearn.feature_selection.univariate_selection.SelectPercentile,steps__classifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
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sklearn.gaussian_process.gpc.GaussianProcessClassifier (1)
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sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(steps__feature_selection=sklearn.feature_selection.univariate_selection.SelectPercentile,steps__scaler=sklearn.preprocessing.data.MinMaxScaler,steps__classifier=sklearn.ensemble.forest.RandomForestClassifier)) (1)
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sklearn.pipeline.Pipeline(steps__feature_selection=sklearn.feature_selection.univariate_selection.SelectPercentile,steps__scaler=sklearn.preprocessing.data.MinMaxScaler,steps__classifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
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sklearn.pipeline.Pipeline(steps__preprocessing=sklearn.preprocessing.data.StandardScaler,steps__classifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
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sklearn.pipeline.Pipeline(steps__StandardScaler=sklearn.preprocessing.data.StandardScaler,steps__Classifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
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sklearn.pipeline.Pipeline(steps__Scaler=sklearn.preprocessing.data.StandardScaler,steps__Classifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
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sklearn.pipeline.Pipeline(steps__Classifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
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sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)
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sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(steps__scaler=sklearn.preprocessing.data.MinMaxScaler,steps__classifier=sklearn.ensemble.forest.RandomForestClassifier)) (1)
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sklearn.pipeline.Pipeline(steps__scaler=sklearn.preprocessing.data.MinMaxScaler,steps__classifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
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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=__main__.LightClassifier)) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(voting=sklearn.ensemble.forest.RandomForestClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=__main__.LightClassifier) (1)
Automatically created scikit-learn flow.
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__main__.LightClassifier (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,voter=voter.Voter(rfc=sklearn.ensemble.forest.RandomForestClassifier,gbc=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,lclf=__main__.LightClassifier,xgb=aucbooster.AUCBooster)) (1)
Automatically created scikit-learn flow.
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voter.Voter(rfc=sklearn.ensemble.forest.RandomForestClassifier,gbc=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,lclf=__main__.LightClassifier,xgb=aucbooster.AUCBooster) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,voter=voter2.Voter) (1)
Automatically created scikit-learn flow.
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mlr.classif.glmnet (4)
Learner mlr.classif.glmnet from package(s) glmnet.
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sklearn.pipeline.Pipeline(Imputer=openml.utils.preprocessing.ConditionalImputer,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,VarianceThreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,Estimator=sklearn.model_selection._search.GridSearchCV(estimator=sklearn.tree.tree.DecisionTreeClassifier)) (1)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.GridSearchCV(estimator=sklearn.tree.tree.DecisionTreeClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.tree.tree.DecisionTreeClassifier (7)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Imputer=openml.utils.preprocessing.ConditionalImputer,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,VarianceThreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,Estimator=sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)) (1)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.gradient_boosting.GradientBoostingClassifier (4)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Imputer=openml.utils.preprocessing.ConditionalImputer,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,VarianceThreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,Estimator=sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.neural_network.multilayer_perceptron.MLPClassifier)) (1)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.neural_network.multilayer_perceptron.MLPClassifier) (1)
Automatically created scikit-learn flow.
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