Run
1849419

Run 1849419

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 10-03-2017 by Joaquin Vanschoren
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  • Fri_Mar_10_13.43.55_2017 NumPy_1.12.0. Python_3.5.2. run_task SciPy_0.18.1. sklearn.linear_model.logistic.LogisticRegression Sklearn_0.18.1.
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Flow

sklearn.linear_model.logistic.LogisticRegression(3)Automatically created sub-component.
sklearn.linear_model.logistic.LogisticRegression(3)_C1.0
sklearn.linear_model.logistic.LogisticRegression(3)_class_weightNone
sklearn.linear_model.logistic.LogisticRegression(3)_dualFalse
sklearn.linear_model.logistic.LogisticRegression(3)_fit_interceptTrue
sklearn.linear_model.logistic.LogisticRegression(3)_intercept_scaling1
sklearn.linear_model.logistic.LogisticRegression(3)_max_iter100
sklearn.linear_model.logistic.LogisticRegression(3)_multi_classovr
sklearn.linear_model.logistic.LogisticRegression(3)_n_jobs1
sklearn.linear_model.logistic.LogisticRegression(3)_penaltyl2
sklearn.linear_model.logistic.LogisticRegression(3)_random_stateNone
sklearn.linear_model.logistic.LogisticRegression(3)_solverliblinear
sklearn.linear_model.logistic.LogisticRegression(3)_tol0.0001
sklearn.linear_model.logistic.LogisticRegression(3)_verbose0
sklearn.linear_model.logistic.LogisticRegression(3)_warm_startFalse

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
0.6755
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6327
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2582
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1625.2775
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4493
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4948
Cross-validation details (10-fold Crossvalidation)
Number of instances
14980
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6396
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6411
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.6411
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.908
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4739
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9528
Cross-validation details (10-fold Crossvalidation)