Run
1873095

Run 1873095

Task 3902 (Supervised Classification) pc4 Uploaded 29-03-2017 by Philipp Probst
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Flow

mlr.classif.glmnet(4)Learner mlr.classif.glmnet from package(s) glmnet.
mlr.classif.glmnet(4)_alpha0.0620990707539022
mlr.classif.glmnet(4)_s0.01
mlr.classif.glmnet(4)_lambda0.00523517406239665
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
0.91
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.896
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4583
Cross-validation details (10-fold Crossvalidation)
KB relative information score
282.6027
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1401
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2148
Cross-validation details (10-fold Crossvalidation)
Number of instances
1458
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9026
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9108
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5368
Cross-validation details (10-fold Crossvalidation)
Recall
0.9108
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6525
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3274
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2606
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.796
Cross-validation details (10-fold Crossvalidation)