OpenML
1861701

Run 1861701

Task 125923 (Supervised Classification) Australian 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)_alpha0.0234340783208609
mlr.classif.glmnet(4)_s0.01
mlr.classif.glmnet(4)_lambda0.021268187555049
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
0.9288
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8655
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7288
Cross-validation details (10-fold Crossvalidation)
KB relative information score
408.8759
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2172
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8671
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8652
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8652
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4397
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3172
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6384
Cross-validation details (10-fold Crossvalidation)