Run
8886956

Run 8886956

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 18-03-2018 by Jeroen Ubbink
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Flow

sklearn.pipeline.Pipeline(dimension_reduction=sklearn.decomposition.pca.PCA ,scaler=sklearn.preprocessing.data.MinMaxScaler,logistic=sklearn.linear_mod el.logistic.LogisticRegression)(1)Automatically created scikit-learn flow.
sklearn.linear_model.logistic.LogisticRegression(10)_C1
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_jobs-1
sklearn.linear_model.logistic.LogisticRegression(10)_penalty"l2"
sklearn.linear_model.logistic.LogisticRegression(10)_random_state15092
sklearn.linear_model.logistic.LogisticRegression(10)_solver"sag"
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_components0.8
sklearn.decomposition.pca.PCA(2)_random_state30686
sklearn.decomposition.pca.PCA(2)_svd_solver"auto"
sklearn.decomposition.pca.PCA(2)_tol0.0
sklearn.decomposition.pca.PCA(2)_whitenfalse
sklearn.pipeline.Pipeline(dimension_reduction=sklearn.decomposition.pca.PCA,scaler=sklearn.preprocessing.data.MinMaxScaler,logistic=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

0.7885 ± 0.0049
Per class
Cross-validation details (10-fold Crossvalidation)
0.3636 ± 0.0096
Per class
Cross-validation details (10-fold Crossvalidation)
0.2992 ± 0.0099
Cross-validation details (10-fold Crossvalidation)
5106.1906 ± 7.2911
Cross-validation details (10-fold Crossvalidation)
0.1605 ± 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)
0.3633 ± 0.0097
Per class
Cross-validation details (10-fold Crossvalidation)
0.3693 ± 0.0089
Cross-validation details (10-fold Crossvalidation)
3.3218
Cross-validation details (10-fold Crossvalidation)
0.3693 ± 0.0089
Per class
Cross-validation details (10-fold Crossvalidation)
0.8916 ± 0.0021
Cross-validation details (10-fold Crossvalidation)
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
0.2794 ± 0.0007
Cross-validation details (10-fold Crossvalidation)
0.9313 ± 0.0022
Cross-validation details (10-fold Crossvalidation)