Run
1815597

Run 1815597

Task 14968 (Supervised Classification) cylinder-bands Uploaded 09-09-2016 by Michel Lang
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

mlr.classif.glmnet.preproc.preproc.tuned(77)Learner mlr.classif.glmnet.preproc.preproc.tuned from package(s) glmnet.
mlr.classif.glmnet.preproc.preproc.tuned(77)_openml.seed1
mlr.classif.glmnet.preproc.preproc.tuned(77)_openml.kindMersenne-Twister
mlr.classif.glmnet.preproc.preproc.tuned(77)_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
0.7624
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7735
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5333
Cross-validation details (10-fold Crossvalidation)
KB relative information score
289.3252
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2241
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4879
Cross-validation details (10-fold Crossvalidation)
Number of instances
540
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7751
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7759
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9826
Cross-validation details (10-fold Crossvalidation)
Recall
0.7759
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4592
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4939
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4734
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9584
Cross-validation details (10-fold Crossvalidation)