Run
7886249

Run 7886249

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)_alpha0.238526754081249
mlr.classif.glmnet(11)_s0.01
mlr.classif.glmnet(11)_lambda0.088195625982277
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
0.8123
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6862
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2081
Cross-validation details (10-fold Crossvalidation)
KB relative information score
903.7095
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3464
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
0.6939
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7234
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.7234
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8353
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4029
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8848
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1339.1935
UserCPU time millis
0.153
UserCPU time millis testing
0.055
UserCPU time millis training
0.098