Run
8886028

Run 8886028

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

sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.StandardScaler, logistic=sklearn.linear_model.logistic.LogisticRegression)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.data.StandardScaler(5)_copytrue
sklearn.preprocessing.data.StandardScaler(5)_with_meantrue
sklearn.preprocessing.data.StandardScaler(5)_with_stdtrue
sklearn.linear_model.logistic.LogisticRegression(10)_C0.01
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"l1"
sklearn.linear_model.logistic.LogisticRegression(10)_random_state34063
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.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.StandardScaler,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

Area under ROC curve
0.7918 ± 0.0056
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3685 ± 0.0111
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3105 ± 0.0112
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4709.5934 ± 7.8865
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1627 ± 0.0004
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
0.3699 ± 0.0121
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3795 ± 0.0101
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.3795 ± 0.0101
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.904 ± 0.0021
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2801 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9336 ± 0.0021
Cross-validation details (10-fold Crossvalidation)