OpenML
1853761

Run 1853761

Task 9977 (Supervised Classification) nomao Uploaded 24-03-2017 by Philipp Probst
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.glmnet(4)Learner mlr.classif.glmnet from package(s) glmnet.
mlr.classif.glmnet(4)_alpha0.114301588153467
mlr.classif.glmnet(4)_s0.01
mlr.classif.glmnet(4)_lambda0.0982194888684856
mlr.classif.glmnet(4)_openml.seed1
mlr.classif.glmnet(4)_openml.kindMersenne-Twister
mlr.classif.glmnet(4)_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.

17 Evaluation measures

Area under ROC curve
0.979
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9325
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8332
Cross-validation details (10-fold Crossvalidation)
KB relative information score
22876.9832
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1486
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4081
Cross-validation details (10-fold Crossvalidation)
Number of instances
34465
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9324
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.933
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.933
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3641
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2366
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5237
Cross-validation details (10-fold Crossvalidation)