Run
8884518

Run 8884518

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)_C10
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_state28647
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
0.7567 ± 0.1226
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9746 ± 0.0039
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2368 ± 0.138
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-4218.7333 ± 146.1715
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0309 ± 0.0042
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
0.9752 ± 0.0046
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.974 ± 0.0053
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.974 ± 0.0053
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9407 ± 0.1416
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
0.1511 ± 0.0112
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1846 ± 0.1044
Cross-validation details (10-fold Crossvalidation)