Run
8885507

Run 8885507

Task 167132 (Supervised Classification) Speech Uploaded 14-03-2018 by Tim Scholtens
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Flow

sklearn.pipeline.Pipeline(Classifier=sklearn.linear_model.logistic.Logistic Regression)(1)Automatically created scikit-learn flow.
sklearn.linear_model.logistic.LogisticRegression(10)_C3.727593720314938
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_state60930
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(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
0.7743 ± 0.1365
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.968 ± 0.0055
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1644 ± 0.1469
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-5243.7524 ± 145.7816
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0383 ± 0.006
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0328 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Number of instances
3686
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9732 ± 0.0054
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9634 ± 0.0071
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9634 ± 0.0071
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.1673 ± 0.1964
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1276 ± 0.0031
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1754 ± 0.0153
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3745 ± 0.1333
Cross-validation details (10-fold Crossvalidation)