Run
8883049

Run 8883049

Task 167132 (Supervised Classification) Speech Uploaded 11-03-2018 by T van Diessen
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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)_C1
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_state20254
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
0.7749 ± 0.1364
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9696 ± 0.0059
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1677 ± 0.1736
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-5924.4923 ± 137.7575
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0374 ± 0.0055
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
0.9731 ± 0.0059
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9664 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9664 ± 0.0072
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.1405 ± 0.1781
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
0.1658 ± 0.0153
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3 ± 0.1298
Cross-validation details (10-fold Crossvalidation)