OpenML
1870347

Run 1870347

Task 9952 (Supervised Classification) phoneme Uploaded 28-03-2017 by Philipp Probst
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.glmnet(4)Learner mlr.classif.glmnet from package(s) glmnet.
mlr.classif.glmnet(4)_alpha0.746108741965145
mlr.classif.glmnet(4)_s0.01
mlr.classif.glmnet(4)_lambda0.00176352156173991
mlr.classif.glmnet(4)_openml.seed1
mlr.classif.glmnet(4)_openml.kindMersenne-Twister
mlr.classif.glmnet(4)_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.

17 Evaluation measures

Area under ROC curve
0.8124
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7381
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3508
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1269.6121
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3134
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
0.735
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7483
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.7483
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7556
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3973
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8726
Cross-validation details (10-fold Crossvalidation)