Run
7890897

Run 7890897

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)_alpha0.96435050945729
mlr.classif.glmnet(11)_s0.01
mlr.classif.glmnet(11)_lambda0.0988490520812447
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
0.7894
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5859
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0018
Cross-validation details (10-fold Crossvalidation)
KB relative information score
397.8708
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3868
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
0.7928
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7069
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.7069
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9328
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4291
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9422
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1346.8004
UserCPU time millis
0.181
UserCPU time millis testing
0.061
UserCPU time millis training
0.12