OpenML
2158544

Run 2158544

Task 145878 (Supervised Classification) wdbc Uploaded 16-05-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.glmnet(5)Learner mlr.classif.glmnet from package(s) glmnet.
mlr.classif.glmnet(5)_alpha0.178850967204198
mlr.classif.glmnet(5)_s0.01
mlr.classif.glmnet(5)_lambda0.00122540199409707
mlr.classif.glmnet(5)_openml.seed1
mlr.classif.glmnet(5)_openml.kindMersenne-Twister
mlr.classif.glmnet(5)_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
0.9939
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9771
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9509
Cross-validation details (10-fold Crossvalidation)
KB relative information score
520.0765
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0432
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4676
Cross-validation details (10-fold Crossvalidation)
Number of instances
569
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9772
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9772
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.953
Cross-validation details (10-fold Crossvalidation)
Recall
0.9772
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0923
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4835
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1443
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2985
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1750.4475
UserCPU time millis
0.416
UserCPU time millis testing
0.183
UserCPU time millis training
0.233