Run
1869994

Run 1869994

Task 9967 (Supervised Classification) steel-plates-fault 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)_alpha0.736431166296825
mlr.classif.glmnet(4)_s0.01
mlr.classif.glmnet(4)_lambda0.20409406929141
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
0.8004
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5163
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
90.7751
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4351
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4531
Cross-validation details (10-fold Crossvalidation)
Number of instances
1941
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.4268
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6533
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
0.6533
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9602
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4577
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9617
Cross-validation details (10-fold Crossvalidation)