Run
8886883

Run 8886883

Task 167132 (Supervised Classification) Speech Uploaded 17-03-2018 by Jeroen van Doorenmalen
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.linear_model.logistic.LogisticRegression(10)Automatically created scikit-learn flow.
sklearn.linear_model.logistic.LogisticRegression(10)_C0.5
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_iter500
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_state61523
sklearn.linear_model.logistic.LogisticRegression(10)_solver"newton-cg"
sklearn.linear_model.logistic.LogisticRegression(10)_tol0.0001
sklearn.linear_model.logistic.LogisticRegression(10)_verbose0
sklearn.linear_model.logistic.LogisticRegression(10)_warm_startfalse

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
0.7949 ± 0.1197
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9776 ± 0.0058
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2591 ± 0.2241
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-2859.5951 ± 113.3311
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0251 ± 0.0043
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
0.9762 ± 0.0078
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9794 ± 0.0052
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9794 ± 0.0052
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7662 ± 0.1376
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
0.1339 ± 0.0167
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0495 ± 0.1391
Cross-validation details (10-fold Crossvalidation)