Run
1815477

Run 1815477

Task 9909 (Supervised Classification) autoUniv-au1-1000 Uploaded 09-09-2016 by Michel Lang
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Flow

mlr.classif.gbm.preproc.preproc.tuned(26)Learner mlr.classif.gbm.preproc.preproc.tuned from package(s) gbm.
mlr.classif.gbm.preproc.preproc.tuned(26)_openml.seed1
mlr.classif.gbm.preproc.preproc.tuned(26)_openml.kindMersenne-Twister
mlr.classif.gbm.preproc.preproc.tuned(26)_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
0.6501
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7689
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.361
Cross-validation details (10-fold Crossvalidation)
KB relative information score
411.3719
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.204
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3841
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7844
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.796
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.826
Cross-validation details (10-fold Crossvalidation)
Recall
0.796
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5312
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4381
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.031
Cross-validation details (10-fold Crossvalidation)