Run
8885515

Run 8885515

Task 167132 (Supervised Classification) Speech Uploaded 14-03-2018 by Tim Scholtens
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(Classifier=sklearn.linear_model.logistic.Logistic Regression)(1)Automatically created scikit-learn flow.
sklearn.linear_model.logistic.LogisticRegression(10)_C100000000.0
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_state12620
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
0.7511 ± 0.1561
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9658 ± 0.0048
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1653 ± 0.1104
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-4409.9676 ± 155.1854
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0412 ± 0.0071
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
0.9736 ± 0.0044
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.959 ± 0.0077
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.959 ± 0.0077
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.257 ± 0.2303
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
0.1961 ± 0.0157
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.5373 ± 0.1416
Cross-validation details (10-fold Crossvalidation)