OpenML
1871269

Run 1871269

Task 3485 (Supervised Classification) scene Uploaded 28-03-2017 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)_alpha0.250569653697312
mlr.classif.glmnet(4)_s0.01
mlr.classif.glmnet(4)_lambda0.164948585901993
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
0.9668
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7865
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1795
Cross-validation details (10-fold Crossvalidation)
KB relative information score
682.3223
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2239
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2942
Cross-validation details (10-fold Crossvalidation)
Number of instances
2407
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8641
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8417
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6786
Cross-validation details (10-fold Crossvalidation)
Recall
0.8417
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.761
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3834
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3015
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7864
Cross-validation details (10-fold Crossvalidation)