Run
1881660

Run 1881660

Task 3950 (Supervised Classification) musk Uploaded 31-03-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.glmnet(5)Learner mlr.classif.glmnet from package(s) glmnet.
mlr.classif.glmnet(5)_alpha0.825277352938429
mlr.classif.glmnet(5)_s0.01
mlr.classif.glmnet(5)_lambda0.00319318853678015
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
0.9999
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9997
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9988
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6388.9325
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0129
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2608
Cross-validation details (10-fold Crossvalidation)
Number of instances
6598
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9997
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9997
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6204
Cross-validation details (10-fold Crossvalidation)
Recall
0.9997
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0495
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3611
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0268
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.0743
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1855.1417
UserCPU time millis
5.424
UserCPU time millis testing
0.297
UserCPU time millis training
5.127