Run
1815462

Run 1815462

Task 9905 (Supervised Classification) autoUniv-au7-700 Uploaded 09-09-2016 by Michel Lang
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Flow

mlr.classif.glmnet.preproc.preproc.tuned(53)Learner mlr.classif.glmnet.preproc.preproc.tuned from package(s) glmnet.
mlr.classif.glmnet.preproc.preproc.tuned(53)_openml.seed1
mlr.classif.glmnet.preproc.preproc.tuned(53)_openml.kindMersenne-Twister
mlr.classif.glmnet.preproc.preproc.tuned(53)_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
0.5657
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4167
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1305
Cross-validation details (10-fold Crossvalidation)
KB relative information score
144.4209
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3848
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4437
Cross-validation details (10-fold Crossvalidation)
Number of instances
700
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.414
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4229
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5824
Cross-validation details (10-fold Crossvalidation)
Recall
0.4229
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8672
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.471
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6203
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.317
Cross-validation details (10-fold Crossvalidation)