Run
8886095

Run 8886095

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 16-03-2018 by Schoeman
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Flow

sklearn.pipeline.Pipeline(MinMaxScaler=sklearn.preprocessing.data.MinMaxSca ler,PCA=sklearn.decomposition.pca.PCA,Regression=sklearn.linear_model.logis tic.LogisticRegression)(1)Automatically created scikit-learn flow.
sklearn.linear_model.logistic.LogisticRegression(10)_C1.0
sklearn.linear_model.logistic.LogisticRegression(10)_class_weightnull
sklearn.linear_model.logistic.LogisticRegression(10)_dualfalse
sklearn.linear_model.logistic.LogisticRegression(10)_fit_intercepttrue
sklearn.linear_model.logistic.LogisticRegression(10)_intercept_scaling1
sklearn.linear_model.logistic.LogisticRegression(10)_max_iter100
sklearn.linear_model.logistic.LogisticRegression(10)_multi_class"ovr"
sklearn.linear_model.logistic.LogisticRegression(10)_n_jobs1
sklearn.linear_model.logistic.LogisticRegression(10)_penalty"l2"
sklearn.linear_model.logistic.LogisticRegression(10)_random_state2153
sklearn.linear_model.logistic.LogisticRegression(10)_solver"liblinear"
sklearn.linear_model.logistic.LogisticRegression(10)_tol0.0001
sklearn.linear_model.logistic.LogisticRegression(10)_verbose0
sklearn.linear_model.logistic.LogisticRegression(10)_warm_startfalse
sklearn.preprocessing.data.MinMaxScaler(3)_copytrue
sklearn.preprocessing.data.MinMaxScaler(3)_feature_range[0, 1]
sklearn.decomposition.pca.PCA(2)_copytrue
sklearn.decomposition.pca.PCA(2)_iterated_power"auto"
sklearn.decomposition.pca.PCA(2)_n_components30
sklearn.decomposition.pca.PCA(2)_random_state51740
sklearn.decomposition.pca.PCA(2)_svd_solver"auto"
sklearn.decomposition.pca.PCA(2)_tol0.0
sklearn.decomposition.pca.PCA(2)_whitenfalse
sklearn.pipeline.Pipeline(MinMaxScaler=sklearn.preprocessing.data.MinMaxScaler,PCA=sklearn.decomposition.pca.PCA,Regression=sklearn.linear_model.logistic.LogisticRegression)(1)_memorynull

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

0.7891 ± 0.0049
Per class
Cross-validation details (10-fold Crossvalidation)
0.3641 ± 0.0105
Per class
Cross-validation details (10-fold Crossvalidation)
0.299 ± 0.0108
Cross-validation details (10-fold Crossvalidation)
5296.3736 ± 7.4352
Cross-validation details (10-fold Crossvalidation)
0.1593 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
0.18 ± 0
Cross-validation details (10-fold Crossvalidation)
20000
Per class
Cross-validation details (10-fold Crossvalidation)
0.3637 ± 0.0106
Per class
Cross-validation details (10-fold Crossvalidation)
0.3692 ± 0.0098
Cross-validation details (10-fold Crossvalidation)
3.3218
Cross-validation details (10-fold Crossvalidation)
0.3692 ± 0.0098
Per class
Cross-validation details (10-fold Crossvalidation)
0.885 ± 0.0021
Cross-validation details (10-fold Crossvalidation)
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
0.2788 ± 0.0007
Cross-validation details (10-fold Crossvalidation)
0.9295 ± 0.0024
Cross-validation details (10-fold Crossvalidation)