Run
7887323

Run 7887323

Task 145857 (Supervised Classification) phoneme Uploaded 10-09-2017 by OpenML_Bot R
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  • AzureBot21 botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.glmnet(11)Learner mlr.classif.glmnet from package(s) glmnet.
mlr.classif.glmnet(11)_alpha0.232946035219356
mlr.classif.glmnet(11)_s0.01
mlr.classif.glmnet(11)_lambda0.00343144890077324
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
0.8124
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7379
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3502
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1264.9053
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3139
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
0.7348
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7482
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.7482
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7568
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
0.8725
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1321.9392
UserCPU time millis
0.28
UserCPU time millis testing
0.067
UserCPU time millis training
0.213