Run
7887835

Run 7887835

Task 145857 (Supervised Classification) phoneme Uploaded 10-09-2017 by OpenML_Bot R
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Flow

mlr.classif.glmnet(11)Learner mlr.classif.glmnet from package(s) glmnet.
mlr.classif.glmnet(11)_alpha0.700646910117939
mlr.classif.glmnet(11)_s0.01
mlr.classif.glmnet(11)_lambda0.083765108202793
mlr.classif.glmnet(11)_openml.seed1
mlr.classif.glmnet(11)_openml.kindMersenne-Twister
mlr.classif.glmnet(11)_openml.normal.kindInversion

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.

21 Evaluation measures

Area under ROC curve
0.8043
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6208
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0605
Cross-validation details (10-fold Crossvalidation)
KB relative information score
666.4721
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3654
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4147
Cross-validation details (10-fold Crossvalidation)
Number of instances
5404
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6567
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7076
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.7076
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.881
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4135
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.908
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1316.0609
UserCPU time millis
0.177
UserCPU time millis testing
0.068
UserCPU time millis training
0.109