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Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 16-03-2018 by Sander Ackermans
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sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.MinMaxScaler,PC A=sklearn.decomposition.pca.PCA,Classifier=sklearn.linear_model.logistic.Lo gisticRegression)(1)	Automatically created scikit-learn flow.
sklearn.linear_model.logistic.LogisticRegression(10)_C	1.0
sklearn.linear_model.logistic.LogisticRegression(10)_class_weight	null
sklearn.linear_model.logistic.LogisticRegression(10)_dual	false
sklearn.linear_model.logistic.LogisticRegression(10)_fit_intercept	true
sklearn.linear_model.logistic.LogisticRegression(10)_intercept_scaling	1
sklearn.linear_model.logistic.LogisticRegression(10)_max_iter	100
sklearn.linear_model.logistic.LogisticRegression(10)_multi_class	"ovr"
sklearn.linear_model.logistic.LogisticRegression(10)_n_jobs	-1
sklearn.linear_model.logistic.LogisticRegression(10)_penalty	"l2"
sklearn.linear_model.logistic.LogisticRegression(10)_random_state	45626
sklearn.linear_model.logistic.LogisticRegression(10)_solver	"liblinear"
sklearn.linear_model.logistic.LogisticRegression(10)_tol	0.0001
sklearn.linear_model.logistic.LogisticRegression(10)_verbose	0
sklearn.linear_model.logistic.LogisticRegression(10)_warm_start	true
sklearn.preprocessing.data.MinMaxScaler(3)_copy	true
sklearn.preprocessing.data.MinMaxScaler(3)_feature_range	[0, 1]
sklearn.decomposition.pca.PCA(2)_copy	true
sklearn.decomposition.pca.PCA(2)_iterated_power	"auto"
sklearn.decomposition.pca.PCA(2)_n_components	0.9
sklearn.decomposition.pca.PCA(2)_random_state	45149
sklearn.decomposition.pca.PCA(2)_svd_solver	"auto"
sklearn.decomposition.pca.PCA(2)_tol	0.0
sklearn.decomposition.pca.PCA(2)_whiten	false
sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.MinMaxScaler,PCA=sklearn.decomposition.pca.PCA,Classifier=sklearn.linear_model.logistic.LogisticRegression)(1)_memory	null