Run
8883048

Run 8883048

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)_C0.1
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_state61414
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
0.7767 ± 0.1353
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9746 ± 0.0044
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1733 ± 0.1784
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-8877.3049 ± 130.8846
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0376 ± 0.0033
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 ± 0.006
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9761 ± 0.0048
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9761 ± 0.0048
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.1455 ± 0.1102
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
0.143 ± 0.0108
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1207 ± 0.0861
Cross-validation details (10-fold Crossvalidation)