OpenML
1815208

Run 1815208

Task 16 (Supervised Classification) mfeat-karhunen Uploaded 09-09-2016 by Michel Lang
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Flow

mlr.classif.glmnet.preproc.preproc.tuned(8)Learner mlr.classif.glmnet.preproc.preproc.tuned from package(s) glmnet.
mlr.classif.glmnet.preproc.preproc.tuned(8)_openml.seed1
mlr.classif.glmnet.preproc.preproc.tuned(8)_openml.kindMersenne-Twister
mlr.classif.glmnet.preproc.preproc.tuned(8)_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.

arff
Trace

ARFF file with the trace of all hyperparameter settings tried during optimization, and their performance.

17 Evaluation measures

Area under ROC curve
0.9733
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.952
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9467
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1899.6073
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0096
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
0.9523
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.952
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.952
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0533
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.098
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3266
Cross-validation details (10-fold Crossvalidation)