Run
8884516

Run 8884516

Task 167132 (Supervised Classification) Speech Uploaded 12-03-2018 by T van Diessen
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Flow

sklearn.pipeline.Pipeline(StandardScaler=sklearn.preprocessing.data.Standar dScaler,Classifier=sklearn.linear_model.logistic.LogisticRegression)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.data.StandardScaler(5)_copytrue
sklearn.preprocessing.data.StandardScaler(5)_with_meantrue
sklearn.preprocessing.data.StandardScaler(5)_with_stdtrue
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_jobs-1
sklearn.linear_model.logistic.LogisticRegression(10)_penalty"l2"
sklearn.linear_model.logistic.LogisticRegression(10)_random_state6887
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(StandardScaler=sklearn.preprocessing.data.StandardScaler,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
0.7782 ± 0.1204
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9773 ± 0.0043
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1146 ± 0.1683
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-14579.0184 ± 145.8273
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0414 ± 0.002
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
0.9777 ± 0.0104
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9837 ± 0.0022
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9837 ± 0.0022
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.2626 ± 0.0804
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
0.125 ± 0.0096
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.98 ± 0.083
Cross-validation details (10-fold Crossvalidation)