Run
1861695

Run 1861695

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)_alpha0.139004091499373
mlr.classif.glmnet(4)_s0.01
mlr.classif.glmnet(4)_lambda1.54174337924336
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
0.8629
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3963
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
31.6514
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4777
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
0.3081
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5551
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.5551
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.967
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4809
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9676
Cross-validation details (10-fold Crossvalidation)