OpenML
1848004

Run 1848004

Task 16 (Supervised Classification) mfeat-karhunen Uploaded 01-03-2017 by Giuseppe Casalicchio
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Flow

mlr.classif.glmnet.preproc(2)Learner mlr.classif.glmnet.preproc from package(s) glmnet.
mlr.classif.glmnet.preproc(2)_s0.01
mlr.classif.glmnet.preproc(2)_openml.seed1
mlr.classif.glmnet.preproc(2)_openml.kindMersenne-Twister
mlr.classif.glmnet.preproc(2)_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
0.9953
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9439
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9378
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1725.8696
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0449
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.944
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.944
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.944
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2497
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1119
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3729
Cross-validation details (10-fold Crossvalidation)