Run
10228231

Run 10228231

Task 2079 (Supervised Classification) eucalyptus Uploaded 31-05-2019 by Felix Neutatz
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Flow

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sklearn.linear_model.logistic.LogisticRegression(23)_C0.01
sklearn.linear_model.logistic.LogisticRegression(23)_class_weight"balanced"
sklearn.linear_model.logistic.LogisticRegression(23)_dualfalse
sklearn.linear_model.logistic.LogisticRegression(23)_fit_intercepttrue
sklearn.linear_model.logistic.LogisticRegression(23)_intercept_scaling1
sklearn.linear_model.logistic.LogisticRegression(23)_max_iter10000
sklearn.linear_model.logistic.LogisticRegression(23)_multi_class"auto"
sklearn.linear_model.logistic.LogisticRegression(23)_n_jobsnull
sklearn.linear_model.logistic.LogisticRegression(23)_penalty"l2"
sklearn.linear_model.logistic.LogisticRegression(23)_random_state15315
sklearn.linear_model.logistic.LogisticRegression(23)_solver"lbfgs"
sklearn.linear_model.logistic.LogisticRegression(23)_tol0.0001
sklearn.linear_model.logistic.LogisticRegression(23)_verbose0
sklearn.linear_model.logistic.LogisticRegression(23)_warm_startfalse
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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
0.842 ± 0.029
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5359 ± 0.0687
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4342 ± 0.0781
Cross-validation details (10-fold Crossvalidation)
KB relative information score
237.9409 ± 1.3898
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2509 ± 0.0053
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3132 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Number of instances
736
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6057 ± 0.0779
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5408 ± 0.0649
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2629
Cross-validation details (10-fold Crossvalidation)
Recall
0.5408 ± 0.0649
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.801 ± 0.0171
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3957 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3422 ± 0.0057
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8648 ± 0.0147
Cross-validation details (10-fold Crossvalidation)