Run
8884555

Run 8884555

Task 167132 (Supervised Classification) Speech Uploaded 12-03-2018 by Michiel Verburg
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Flow

sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.Standard Scaler,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)_C0.0001
sklearn.linear_model.logistic.LogisticRegression(10)_class_weight"balanced"
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_state53338
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(preprocessing=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
0.8637 ± 0.0679
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7043 ± 0.0251
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0365 ± 0.0111
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-140386.577 ± 43.5596
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.49 ± 0.0036
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
0.9826 ± 0.0035
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5635 ± 0.0306
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.5635 ± 0.0306
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
14.9374 ± 0.3786
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
0.4949 ± 0.0035
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
3.8789 ± 0.0963
Cross-validation details (10-fold Crossvalidation)