Run
8886393

Run 8886393

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

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)_C0.001
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_state59427
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_starttrue
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_components0.9
sklearn.decomposition.pca.PCA(2)_random_state10221
sklearn.decomposition.pca.PCA(2)_svd_solver"auto"
sklearn.decomposition.pca.PCA(2)_tol0.0
sklearn.decomposition.pca.PCA(2)_whitenfalse
sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.MinMaxScaler,PCA=sklearn.decomposition.pca.PCA,Classifier=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

Area under ROC curve
0.7976 ± 0.0048
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3786 ± 0.0123
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3211 ± 0.0133
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3425.4571 ± 4.5152
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1694 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.3821 ± 0.0124
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.389 ± 0.012
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.389 ± 0.012
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9411 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2857 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9525 ± 0.0011
Cross-validation details (10-fold Crossvalidation)