OpenML

TEST69fc2ef738sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble.forest.RandomForestClassifier) (1)

Automatically created scikit-learn flow.

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TESTaa4d91fe80sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,VarianceThreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,Estimator=sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.tree.tree.DecisionTreeClassifier)) (1)

Automatically created scikit-learn flow.

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TESTfa9ce24632sklearn.linear_model.logistic.LogisticRegression (1)

Automatically created scikit-learn flow.

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TEST2fb00b7dcfsklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,dummy=sklearn.dummy.DummyClassifier) (1)

Automatically created scikit-learn flow.

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TESTfb6541bc26sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)) (1)

Automatically created scikit-learn flow.

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TESTa458cc393dsklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,VarianceThreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,Estimator=sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.tree.tree.DecisionTreeClassifier)) (1)

Automatically created scikit-learn flow.

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TEST320b217a23sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble.forest.RandomForestClassifier) (1)

Automatically created scikit-learn flow.

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TESTac56914152sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)) (1)

Automatically created scikit-learn flow.

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TESTe9529618d9sklearn.linear_model.logistic.LogisticRegression (1)

Automatically created scikit-learn flow.

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TESTb729eb6219sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,dummy=sklearn.dummy.DummyClassifier) (1)

Automatically created scikit-learn flow.

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TEST8166236cf7sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble.forest.RandomForestClassifier) (1)

Automatically created scikit-learn flow.

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TEST8255978eb5sklearn.linear_model.logistic.LogisticRegression (1)

Automatically created scikit-learn flow.

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TESTbf57d85281sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,dummy=sklearn.dummy.DummyClassifier) (1)

Automatically created scikit-learn flow.

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TESTf9d09de3dfsklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble.forest.RandomForestClassifier) (1)

Automatically created scikit-learn flow.

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mlr.classif.glmnet (16)

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

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sklearn.linear_model.perceptron.Perceptron (3)

Automatically created scikit-learn flow.

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mlr.classif.randomForest (36)

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

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sklearn.neural_network.multilayer_perceptron.MLPClassifier (11)

Automatically created scikit-learn flow.

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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.neural_network.multilayer_perceptron.MLPClassifier) (2)

Automatically created scikit-learn flow.

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sklearn.linear_model.logistic.LogisticRegression (11)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(PCA=sklearn.decomposition.pca.PCA,polynom=sklearn.preprocessing.data.PolynomialFeatures,model=sklearn.ensemble.forest.RandomForestClassifier) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(PCA=sklearn.decomposition.pca.PCA,polynom=sklearn.preprocessing.data.PolynomialFeatures,model=xgboost.sklearn.XGBClassifier) (1)

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sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,scaler=sklearn.preprocessing.data.MinMaxScaler,estimator=sklearn.linear_model.stochastic_gradient.SGDClassifier) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,scaler=sklearn.preprocessing.data.MinMaxScaler,estimator=sklearn.neighbors.classification.KNeighborsClassifier) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,scaler=sklearn.preprocessing.data.MinMaxScaler,estimator=sklearn.naive_bayes.GaussianNB) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,scaler=sklearn.preprocessing.data.MinMaxScaler,estimator=sklearn.svm.classes.SVC) (1)

Automatically created scikit-learn flow.

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xgboost.sklearn.XGBClassifier (6)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Classifier=sklearn.ensemble.forest.RandomForestClassifier) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Classifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.StandardScaler,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.PolynomialFeatures,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.MinMaxScaler,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.RobustScaler,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.svm.classes.NuSVC) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.MinMaxScaler,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.svm.classes.NuSVC) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.StandardScaler,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.svm.classes.NuSVC) (1)

Automatically created scikit-learn flow.

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sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.StandardScaler,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.svm.classes.SVC)) (1)

Automatically created scikit-learn flow.

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sklearn.ensemble.voting_classifier.VotingClassifier(lr=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,pca=sklearn.decomposition.pca.PCA,reg=sklearn.linear_model.logistic.LogisticRegression),knn=sklearn.neighbors.classification.KNeighborsClassifier,gb=sklearn.pipeline.Pipeline(clf=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,Classifier=sklearn.tree.tree.DecisionTreeClassifier) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,Classifier=sklearn.naive_bayes.GaussianNB) (1)

Automatically created scikit-learn flow.

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sklearn.ensemble.voting_classifier.VotingClassifier(rf=sklearn.ensemble.forest.RandomForestClassifier,lr=sklearn.linear_model.logistic.LogisticRegression) (1)

Automatically created scikit-learn flow.

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sklearn.ensemble.voting_classifier.VotingClassifier(other=sklearn.neighbors.classification.KNeighborsClassifier,lr=sklearn.linear_model.logistic.LogisticRegression,rf=sklearn.ensemble.forest.RandomForestClassifier) (1)

Automatically created scikit-learn flow.

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sklearn.ensemble.voting_classifier.VotingClassifier(knn=sklearn.neighbors.classification.KNeighborsClassifier,svc=sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.RobustScaler,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.svm.classes.SVC),rf=sklearn.ensemble.forest.RandomForestClassifier) (1)

Automatically created scikit-learn flow.

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sklearn.ensemble.voting_classifier.VotingClassifier(knn=sklearn.neighbors.classification.KNeighborsClassifier,svc=sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.RobustScaler,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.svm.classes.SVC),lr=sklearn.linear_model.logistic.LogisticRegression) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(decomposition=sklearn.decomposition.pca.PCA,Classifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)

Automatically created scikit-learn flow.

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weka.RandomTree (16)

Weka implementation of RandomTree

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sklearn.pipeline.Pipeline(StandardScaler=sklearn.preprocessing.data.StandardScaler,PCA=sklearn.decomposition.pca.PCA,LogisticRegression=sklearn.linear_model.logistic.LogisticRegression) (1)

Automatically created scikit-learn flow.

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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.RobustScaler,svm=sklearn.svm.classes.SVC)) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.RobustScaler,svm=sklearn.svm.classes.SVC) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,decomposition=sklearn.decomposition.pca.PCA,classifier=sklearn.linear_model.stochastic_gradient.SGDClassifier) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.RobustScaler,classifier=sklearn.linear_model.logistic.LogisticRegression) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(StandardScaler=sklearn.preprocessing.data.StandardScaler,PCA=sklearn.decomposition.pca.PCA,knn=sklearn.neighbors.classification.KNeighborsClassifier) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(StandardScaler=sklearn.preprocessing.data.StandardScaler,PCA=sklearn.decomposition.pca.PCA,svm=sklearn.svm.classes.SVC) (1)

Automatically created scikit-learn flow.

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sklearn.ensemble.voting_classifier.VotingClassifier(rf=sklearn.ensemble.forest.RandomForestClassifier,knn=sklearn.neighbors.classification.KNeighborsClassifier,svc=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,pca=sklearn.decomposition.pca.PCA,svm=sklearn.svm.classes.SVC)) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,Classifier=sklearn.linear_model.logistic.LogisticRegression) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(PCA=sklearn.decomposition.pca.PCA,Scaler=sklearn.preprocessing.data.MinMaxScaler,Classifier=sklearn.ensemble.forest.RandomForestClassifier) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,feat=sklearn.feature_selection.univariate_selection.SelectKBest,clf=sklearn.neighbors.classification.KNeighborsClassifier) (1)

Automatically created scikit-learn flow.

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sklearn.ensemble.voting_classifier.VotingClassifier(rf=sklearn.ensemble.forest.RandomForestClassifier,kn=sklearn.neighbors.classification.KNeighborsClassifier,gp=sklearn.gaussian_process.gpc.GaussianProcessClassifier,nb=sklearn.naive_bayes.GaussianNB) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(transformer=sklearn.preprocessing.data.StandardScaler,estimator=sklearn.naive_bayes.BernoulliNB) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(transformer=sklearn.preprocessing.data.StandardScaler,estimator=sklearn.naive_bayes.GaussianNB) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,PCA=sklearn.decomposition.pca.PCA,estimator=sklearn.neighbors.classification.KNeighborsClassifier) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.Binarizer,PCA=sklearn.decomposition.pca.PCA,estimator=sklearn.neighbors.classification.KNeighborsClassifier) (1)

Automatically created scikit-learn flow.

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sklearn.ensemble.voting_classifier.VotingClassifier(bg=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.neighbors.classification.KNeighborsClassifier),svm=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)) (1)

Automatically created scikit-learn flow.

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sklearn.ensemble.voting_classifier.VotingClassifier(lr=sklearn.linear_model.logistic.LogisticRegression,rf=sklearn.ensemble.forest.RandomForestClassifier,gnb=sklearn.naive_bayes.GaussianNB) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.PolynomialFeatures,PCA=sklearn.decomposition.pca.PCA,estimator=sklearn.neighbors.classification.KNeighborsClassifier) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,bnb=sklearn.naive_bayes.BernoulliNB) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.PolynomialFeatures,scaler2=sklearn.preprocessing.data.MinMaxScaler,estimator=sklearn.neighbors.classification.KNeighborsClassifier) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(scaler2=sklearn.preprocessing.data.MinMaxScaler,estimator=sklearn.neighbors.classification.KNeighborsClassifier) (1)

Automatically created scikit-learn flow.

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sklearn.ensemble.voting_classifier.VotingClassifier(bnb=sklearn.pipeline.Pipeline(bnb=sklearn.naive_bayes.BernoulliNB),gb=sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,estimator=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier),rf=sklearn.pipeline.Pipeline(rf=sklearn.ensemble.forest.RandomForestClassifier)) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(rf=sklearn.ensemble.forest.RandomForestClassifier) (1)

Automatically created scikit-learn flow.

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sklearn.ensemble.voting_classifier.VotingClassifier(kn=sklearn.neighbors.classification.KNeighborsClassifier,rf=sklearn.ensemble.forest.RandomForestClassifier,gp=sklearn.gaussian_process.gpc.GaussianProcessClassifier) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(estimator=sklearn.linear_model.stochastic_gradient.SGDClassifier) (1)

Automatically created scikit-learn flow.

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sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,svm=sklearn.svm.classes.SVC)) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,rm=sklearn.ensemble.forest.RandomForestClassifier) (1)

Automatically created scikit-learn flow.

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sklearn.ensemble.forest.ExtraTreesClassifier (8)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.RobustScaler,PCA=sklearn.decomposition.pca.PCA,Classifier=sklearn.neural_network.multilayer_perceptron.MLPClassifier) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.naive_bayes.GaussianNB) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,svm=sklearn.ensemble.forest.RandomForestClassifier) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,PCA=sklearn.decomposition.pca.PCA,svm=sklearn.ensemble.forest.RandomForestClassifier) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(svc=sklearn.svm.classes.SVC) (2)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(Scale=sklearn.preprocessing.data.MinMaxScaler,Classifier=sklearn.ensemble.voting_classifier.VotingClassifier(lr=sklearn.linear_model.logistic.LogisticRegression,knn=sklearn.neighbors.classification.KNeighborsClassifier)) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(Scale=sklearn.preprocessing.data.MaxAbsScaler,Classifier=sklearn.ensemble.voting_classifier.VotingClassifier(lr=sklearn.linear_model.logistic.LogisticRegression,knn=sklearn.neighbors.classification.KNeighborsClassifier)) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(Scale=sklearn.preprocessing.data.RobustScaler,Classifier=sklearn.ensemble.voting_classifier.VotingClassifier(lr=sklearn.linear_model.logistic.LogisticRegression,knn=sklearn.neighbors.classification.KNeighborsClassifier)) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(Scale=sklearn.preprocessing.data.Normalizer,pca=sklearn.decomposition.pca.PCA,Classifier=sklearn.ensemble.voting_classifier.VotingClassifier(knn=sklearn.neighbors.classification.KNeighborsClassifier)) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(Scale=sklearn.preprocessing.data.Normalizer,pca=sklearn.decomposition.pca.PCA,Classifier=sklearn.ensemble.voting_classifier.VotingClassifier(knn=sklearn.neighbors.classification.KNeighborsClassifier,svc=sklearn.svm.classes.SVC)) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.RobustScaler,PCA=sklearn.decomposition.pca.PCA,Classifier=sklearn.ensemble.forest.RandomForestClassifier) (1)

Automatically created scikit-learn flow.

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mlr.classif.logreg (7)

Learner mlr.classif.logreg from package(s) stats.

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sklearn.pipeline.Pipeline(feature_select=sklearn.feature_selection.from_model.SelectFromModel(estimator=sklearn.ensemble.forest.RandomForestClassifier),classifier=sklearn.svm.classes.SVC) (2)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(minmax=sklearn.preprocessing.data.MinMaxScaler,rfc=sklearn.ensemble.forest.RandomForestClassifier) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(sclaer=sklearn.preprocessing.data.StandardScaler,feature_select=sklearn.feature_selection.from_model.SelectFromModel(estimator=sklearn.ensemble.forest.RandomForestClassifier),classifier=sklearn.svm.classes.SVC) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,logreg=sklearn.linear_model.logistic.LogisticRegression) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.Normalizer,PCA=sklearn.decomposition.pca.PCA,Classifier=sklearn.tree.tree.DecisionTreeClassifier) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.Binarizer,PCA=sklearn.decomposition.pca.PCA,Classifier=sklearn.linear_model.logistic.LogisticRegression) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.StandardScaler,Classifier=sklearn.ensemble.forest.RandomForestClassifier) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.StandardScaler,Classifier=sklearn.neighbors.classification.KNeighborsClassifier) (2)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.StandardScaler,Classifier=sklearn.ensemble.voting_classifier.VotingClassifier(svc=sklearn.svm.classes.SVC,kn=sklearn.neighbors.classification.KNeighborsClassifier,gnb=sklearn.naive_bayes.GaussianNB,logreg=sklearn.linear_model.logistic.LogisticRegression)) (1)

Automatically created scikit-learn flow.

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sklearn.ensemble.voting_classifier.VotingClassifier(svc=sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.StandardScaler,PCA=sklearn.decomposition.pca.PCA,Classifier=sklearn.svm.classes.SVC),kn=sklearn.neighbors.classification.KNeighborsClassifier,gnb=sklearn.naive_bayes.GaussianNB,logreg=sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.Normalizer,Classifier=sklearn.linear_model.logistic.LogisticRegression)) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.Normalizer,Classifier=sklearn.ensemble.voting_classifier.VotingClassifier(svc=sklearn.svm.classes.SVC,kn=sklearn.neighbors.classification.KNeighborsClassifier,gnb=sklearn.naive_bayes.GaussianNB,logreg=sklearn.linear_model.logistic.LogisticRegression)) (1)

Automatically created scikit-learn flow.

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sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression) (3)

Automatically created scikit-learn flow.

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