Run
6362015

Run 6362015

Task 9976 (Supervised Classification) madelon Uploaded 29-08-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • AzureBot11 botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.glmnet(11)Learner mlr.classif.glmnet from package(s) glmnet.
mlr.classif.glmnet(11)_alpha0.487408483633772
mlr.classif.glmnet(11)_s0.01
mlr.classif.glmnet(11)_lambda0.00250545040178885
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
0.5892
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5665
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1331
Cross-validation details (10-fold Crossvalidation)
KB relative information score
221.65
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4618
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
2600
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5665
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5665
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.5665
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9236
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5227
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0455
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1225.6432
UserCPU time millis
6.535
UserCPU time millis testing
0.298
UserCPU time millis training
6.237