OpenML
1861368

Run 1861368

Task 9970 (Supervised Classification) hill-valley 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)_alpha0.399282032391056
mlr.classif.glmnet(4)_s0.01
mlr.classif.glmnet(4)_lambda0.00359690999046297
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
0.7799
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6146
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3053
Cross-validation details (10-fold Crossvalidation)
KB relative information score
70.4686
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4764
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
1212
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7524
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6526
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.6526
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9529
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4808
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9616
Cross-validation details (10-fold Crossvalidation)