Run
9190796

Run 9190796

Task 146543 (Supervised Classification) ML2017-challenge-1 Uploaded 22-04-2018 by Mini Challenge Anonymous
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Flow

sklearn.linear_model.logistic.LogisticRegression(10)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_state64974
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

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
0.9928 ± 0.0036
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9587 ± 0.0148
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9173 ± 0.0297
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2691.1856 ± 6.122
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0891 ± 0.0092
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.499 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
3196
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9588 ± 0.0147
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9587 ± 0.0148
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (10-fold Crossvalidation)
Recall
0.9587 ± 0.0148
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1786 ± 0.0183
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4995 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1787 ± 0.0183
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3577 ± 0.0366
Cross-validation details (10-fold Crossvalidation)