Run
7586241

Run 7586241

Task 146012 (Supervised Classification) electricity Uploaded 07-09-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • AzureBot23 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)_alpha0.283144929911941
mlr.classif.glmnet(11)_s0.01
mlr.classif.glmnet(11)_lambda0.645956864020175
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
0.7681
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4204
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
83.0696
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.488
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4886
Cross-validation details (10-fold Crossvalidation)
Number of instances
45312
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.3311
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5755
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9835
Cross-validation details (10-fold Crossvalidation)
Recall
0.5755
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9988
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4937
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9988
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1297.0048
UserCPU time millis
1.54
UserCPU time millis testing
0.246
UserCPU time millis training
1.294