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sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.svm.classes.LinearSVC) (1)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.svm.classes.SVC)) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.svm.classes.LinearSVC)) (2)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.svm.classes.LinearSVC) (2)
Automatically created scikit-learn flow.
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sklearn.preprocessing.data.OneHotEncoder (17)
Automatically created scikit-learn flow.
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sklearn.feature_selection.variance_threshold.VarianceThreshold (11)
Automatically created scikit-learn flow.
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sklearn.preprocessing.data.StandardScaler (5)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.svm.classes.SVC)) (2)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.svm.classes.SVC) (2)
Automatically created scikit-learn flow.
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sklearn.neighbors.classification.KNeighborsClassifier (19)
Automatically created sub-component.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.linear_model.perceptron.Perceptron)) (2)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.linear_model.perceptron.Perceptron) (2)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.neural_network.multilayer_perceptron.MLPClassifier)) (2)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.neural_network.multilayer_perceptron.MLPClassifier) (2)
Automatically created scikit-learn flow.
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sklearn.neural_network.multilayer_perceptron.MLPClassifier (10)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,scaling=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)
Automatically created scikit-learn flow.
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openmlstudy14.preprocessing.ConditionalImputer (6)
Automatically created scikit-learn flow.
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sklearn.preprocessing.data.OneHotEncoder (18)
Automatically created scikit-learn flow.
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sklearn.feature_selection.variance_threshold.VarianceThreshold (12)
Automatically created scikit-learn flow.
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sklearn.preprocessing.data.StandardScaler (6)
Automatically created scikit-learn flow.
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sklearn.ensemble.gradient_boosting.GradientBoostingClassifier (10)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,scaling=sklearn.preprocessing.data.MinMaxScaler,classifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.preprocessing.data.MinMaxScaler (2)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.tree.tree.DecisionTreeClassifier)) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.tree.tree.DecisionTreeClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.tree.tree.DecisionTreeClassifier (17)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.tree.tree.DecisionTreeClassifier)) (2)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.tree.tree.DecisionTreeClassifier) (2)
Automatically created scikit-learn flow.
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sklearn.preprocessing.imputation.Imputer (15)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.MinMaxScaler,classifier=sklearn.tree.tree.DecisionTreeClassifier)) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.MinMaxScaler,classifier=sklearn.tree.tree.DecisionTreeClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.preprocessing.data.MinMaxScaler (3)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.tree.tree.DecisionTreeClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.tree.tree.DecisionTreeClassifier (19)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,kernel_approx=sklearn.kernel_approximation.RBFSampler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,scaling=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.linear_model.stochastic_gradient.SGDClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.kernel_approximation.RBFSampler (1)
Automatically created scikit-learn flow.
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sklearn.linear_model.stochastic_gradient.SGDClassifier (3)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.MinMaxScaler,classifier=sklearn.linear_model.perceptron.Perceptron)) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.MinMaxScaler,classifier=sklearn.linear_model.perceptron.Perceptron) (1)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.MinMaxScaler,classifier=sklearn.neural_network.multilayer_perceptron.MLPClassifier)) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.MinMaxScaler,classifier=sklearn.neural_network.multilayer_perceptron.MLPClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.MinMaxScaler,classifier=sklearn.svm.classes.LinearSVC)) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.MinMaxScaler,classifier=sklearn.svm.classes.LinearSVC) (1)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.MinMaxScaler,classifier=sklearn.svm.classes.SVC)) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.MinMaxScaler,classifier=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier) (2)
Automatically created scikit-learn flow.
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sklearn.svm.classes.SVC (17)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,kernel_approx=sklearn.kernel_approximation.RBFSampler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,scaling=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.linear_model.stochastic_gradient.SGDClassifier) (2)
Automatically created scikit-learn flow.
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sklearn.kernel_approximation.RBFSampler (2)
Automatically created scikit-learn flow.
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sklearn.preprocessing.data.StandardScaler (7)
Automatically created scikit-learn flow.
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sklearn.linear_model.stochastic_gradient.SGDClassifier (4)
Automatically created scikit-learn flow.
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mlr.ModelMultiplexer (1)
Learner mlr.ModelMultiplexer from package(s) ranger, e1071, glmnet, deepnet.
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sklearn.tree.tree.DecisionTreeClassifier (20)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.MaxAbsScaler,classifier=sklearn.tree.tree.DecisionTreeClassifier)) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.MaxAbsScaler,classifier=sklearn.tree.tree.DecisionTreeClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.preprocessing.data.MaxAbsScaler (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one-hot-encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,feature-scaling=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.linear_model.stochastic_gradient.SGDClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.linear_model.stochastic_gradient.SGDClassifier (5)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one-hot-encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,feature-scaling=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.tree.tree.DecisionTreeClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one-hot-encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,feature-scaling=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.linear_model.perceptron.Perceptron)) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one-hot-encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,feature-scaling=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.linear_model.perceptron.Perceptron) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one-hot-encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,feature-scaling=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.neural_network.multilayer_perceptron.MLPClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.MaxAbsScaler,classifier=sklearn.svm.classes.LinearSVC)) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.MaxAbsScaler,classifier=sklearn.svm.classes.LinearSVC) (1)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.MaxAbsScaler,classifier=sklearn.svm.classes.SVC)) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.MaxAbsScaler,classifier=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.MaxAbsScaler,classifier=sklearn.linear_model.perceptron.Perceptron)) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.MaxAbsScaler,classifier=sklearn.linear_model.perceptron.Perceptron) (1)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.MaxAbsScaler,classifier=sklearn.neural_network.multilayer_perceptron.MLPClassifier)) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,standardization=sklearn.preprocessing.data.MaxAbsScaler,classifier=sklearn.neural_network.multilayer_perceptron.MLPClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.tree.tree.DecisionTreeClassifier)) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.tree.tree.DecisionTreeClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.linear_model.perceptron.Perceptron)) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.linear_model.perceptron.Perceptron) (1)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.neural_network.multilayer_perceptron.MLPClassifier)) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.neural_network.multilayer_perceptron.MLPClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.LinearSVC)) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.LinearSVC) (1)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one_hot_encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one-hot-encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,feature-scaling=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.svm.classes.LinearSVC) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one-hot-encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,feature-scaling=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.preprocessing.imputation.Imputer (16)
Automatically created scikit-learn flow.
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sklearn.tree.tree.DecisionTreeClassifier (21)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier) (2)
Automatically created scikit-learn flow.
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mlr.classif.randomForest (37)
Learner mlr.classif.randomForest from package(s) randomForest.
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sklearn.preprocessing.imputation.Imputer (17)
Automatically created scikit-learn flow.
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sklearn.preprocessing.imputation.Imputer (18)
Automatically created scikit-learn flow.
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sklearn.linear_model.logistic.LogisticRegression (12)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=sklearn.preprocessing.imputation.Imputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier)) (1)
Automatically created scikit-learn flow.
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sklearn.decomposition.pca.PCA (2)
Automatically created scikit-learn flow.
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sklearn.preprocessing.data.PolynomialFeatures (2)
Automatically created scikit-learn flow.
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openmlcontrib.preprocessing.imputation.ConditionalImputer (1)
Automatically created scikit-learn flow.
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sklearn.preprocessing._function_transformer.FunctionTransformer (2)
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.voting_classifier.VotingClassifier(lr=sklearn.linear_model.logistic.LogisticRegression,knn=sklearn.neighbors.classification.KNeighborsClassifier,rf=sklearn.ensemble.forest.RandomForestClassifier,GB=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(lr=sklearn.linear_model.logistic.LogisticRegression,knn=sklearn.neighbors.classification.KNeighborsClassifier,rf=sklearn.ensemble.forest.RandomForestClassifier,GB=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(lr=sklearn.linear_model.logistic.LogisticRegression,knn=sklearn.neighbors.classification.KNeighborsClassifier,svc=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
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