DEVELOPMENT... OpenML
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flow
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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sklearn.pipeline.Pipeline(rescale=sklearn.preprocessing.data.MinMaxScaler,nn=keras.wrappers.scikit_learn.KerasClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.Normalizer,Classifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Classifier=sklearn.tree.tree.DecisionTreeClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,PCA=sklearn.decomposition.pca.PCA,Classifier=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(RP=sklearn.random_projection.GaussianRandomProjection,Classifier=sklearn.naive_bayes.GaussianNB) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(PCA=sklearn.decomposition.pca.PCA,Scaler=sklearn.preprocessing.data.StandardScaler,Voting=sklearn.ensemble.voting_classifier.VotingClassifier(knn=sklearn.neighbors.classification.KNeighborsClassifier,LR=sklearn.linear_model.logistic.LogisticRegression,rfc=sklearn.ensemble.forest.RandomForestClassifier,gnb=sklearn.naive_bayes.GaussianNB)) (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,Classifier=sklearn.linear_model.logistic.LogisticRegression),knn=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(lr=sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.RobustScaler,PCA=sklearn.decomposition.pca.PCA,Classifier=sklearn.linear_model.logistic.LogisticRegression),knn=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(MinMaxScaler=sklearn.preprocessing.data.MinMaxScaler,LogisticRegression=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(MinMaxScaler=sklearn.preprocessing.data.MinMaxScaler,PCA=sklearn.decomposition.pca.PCA,LogisticRegression=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(lr=sklearn.pipeline.Pipeline(Classifier2=sklearn.linear_model.logistic.LogisticRegression),knn=sklearn.pipeline.Pipeline(Scaler1=sklearn.preprocessing.data.Normalizer,PCA1=sklearn.decomposition.pca.PCA,Classifier1=sklearn.neighbors.classification.KNeighborsClassifier)) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(lr=sklearn.pipeline.Pipeline(Classifier2=sklearn.linear_model.logistic.LogisticRegression),knn=sklearn.pipeline.Pipeline(Scaler1=sklearn.preprocessing.data.StandardScaler,PCA1=sklearn.decomposition.pca.PCA,Classifier1=sklearn.neighbors.classification.KNeighborsClassifier),svc=sklearn.pipeline.Pipeline(Classifier3=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.neighbors.classification.KNeighborsClassifier) (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.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(PCA=sklearn.decomposition.pca.PCA,tree=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(scaling=sklearn.preprocessing.data.StandardScaler,PCA=sklearn.decomposition.pca.PCA,tree=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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imblearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,decomp=sklearn.decomposition.pca.PCA,logistic=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,kneighborsclassifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(preprocessing=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,svc=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,svc=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,adaboostclassifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,reduce_dim=sklearn.decomposition.pca.PCA,svm=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(reduce_dim=sklearn.decomposition.pca.PCA,scaler=sklearn.preprocessing.data.StandardScaler,svm=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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imblearn.pipeline.Pipeline(SMOTE=imblearn.over_sampling.smote.SMOTE,scaler=sklearn.preprocessing.data.StandardScaler,logistic=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.MinMaxScaler,classifier=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(MinMaxScaler=sklearn.preprocessing.data.MinMaxScaler,knn=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,clf=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(classifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,scaler=sklearn.preprocessing.data.StandardScaler,rf=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
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imblearn.pipeline.Pipeline(SMOTE=imblearn.over_sampling.smote.SMOTE,Scaler=sklearn.preprocessing.data.StandardScaler,PCA=sklearn.decomposition.pca.PCA,Classifier=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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imblearn.pipeline.Pipeline(oversample=imblearn.over_sampling.adasyn.ADASYN,preprocessing=sklearn.preprocessing.data.MinMaxScaler,PCA=sklearn.decomposition.pca.PCA,classifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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imblearn.pipeline.Pipeline(oversample=imblearn.over_sampling.smote.SMOTE,preprocessing=sklearn.preprocessing.data.MinMaxScaler,PCA=sklearn.decomposition.pca.PCA,classifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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imblearn.pipeline.Pipeline(oversample=imblearn.over_sampling.adasyn.ADASYN,preprocessing=sklearn.preprocessing.data.StandardScaler,PCA=sklearn.decomposition.pca.PCA,classifier=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,Classifier=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.neighbors.classification.KNeighborsClassifier)) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(svc=sklearn.svm.classes.SVC,knn=sklearn.neighbors.classification.KNeighborsClassifier,lr=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.StandardScaler,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,PCA=sklearn.decomposition.pca.PCA,GB=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.StandardScaler,pca=sklearn.decomposition.pca.PCA,classifier=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.MinMaxScaler,feature=sklearn.feature_selection.univariate_selection.SelectKBest,classifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(scaling=sklearn.preprocessing.data.StandardScaler,tree=sklearn.tree.tree.DecisionTreeClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.StandardScaler,feature=sklearn.feature_selection.univariate_selection.SelectKBest,classifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(scaling=sklearn.preprocessing.data.StandardScaler,PCA=sklearn.decomposition.pca.PCA,tree=sklearn.tree.tree.DecisionTreeClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(MinMaxScaler=sklearn.preprocessing.data.MinMaxScaler,PCA=sklearn.decomposition.pca.PCA,Regression=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(scaling=sklearn.preprocessing.data.StandardScaler,PCA=sklearn.decomposition.pca.PCA,n=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(FA=sklearn.decomposition.factor_analysis.FactorAnalysis,scaler=sklearn.preprocessing.data.RobustScaler,GaussianNB=sklearn.naive_bayes.GaussianNB) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(tree=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(PCA=sklearn.decomposition.pca.PCA,GaussianNB=sklearn.naive_bayes.GaussianNB) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.RobustScaler,pca=sklearn.decomposition.pca.PCA,classifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)
Automatically created scikit-learn flow.
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imblearn.pipeline.Pipeline(oversample=imblearn.over_sampling.adasyn.ADASYN,preprocessing=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.naive_bayes.GaussianNB) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(preprocessing=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(Scaler=sklearn.preprocessing.data.StandardScaler,Classifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,top_feat=sklearn.feature_selection.univariate_selection.SelectKBest,clf=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.svm.classes.SVC) (3)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(scalar=sklearn.preprocessing.data.MinMaxScaler,nearest_neighbor=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(scalar=sklearn.preprocessing.data.MinMaxScaler,random_forest=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.MinMaxScaler,Classifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,svm=sklearn.svm.classes.SVC)) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.MinMaxScaler,dimensionality_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,classifier=sklearn.neural_network.multilayer_perceptron.MLPClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,kneighborsclassifier=sklearn.neighbors.classification.KNeighborsClassifier) (2)
Automatically created scikit-learn flow.
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imblearn.pipeline.Pipeline(SMOTE=imblearn.over_sampling.smote.SMOTE,Scaler=sklearn.preprocessing.data.StandardScaler,Classifier=sklearn.tree.tree.DecisionTreeClassifier) (1)
Automatically created scikit-learn flow.
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imblearn.pipeline.Pipeline(SMOTE=imblearn.over_sampling.smote.SMOTE,Scaler=sklearn.preprocessing.data.StandardScaler,PCA=sklearn.decomposition.pca.PCA,Classifier=sklearn.tree.tree.DecisionTreeClassifier) (1)
Automatically created scikit-learn flow.
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imblearn.pipeline.Pipeline(SMOTE=imblearn.over_sampling.adasyn.ADASYN,Classifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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imblearn.pipeline.Pipeline(ADASYN=imblearn.over_sampling.adasyn.ADASYN,Classifier=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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imblearn.pipeline.Pipeline(ADASYN=imblearn.over_sampling.adasyn.ADASYN,Scaler=sklearn.preprocessing.data.StandardScaler,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.MinMaxScaler,Classifier=sklearn.naive_bayes.GaussianNB) (1)
Automatically created scikit-learn flow.
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