Run
1815471

Run 1815471

Task 9908 (Supervised Classification) autoUniv-au4-2500 Uploaded 09-09-2016 by Michel Lang
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Flow

mlr.classif.gbm.preproc.preproc.tuned(25)Learner mlr.classif.gbm.preproc.preproc.tuned from package(s) gbm.
mlr.classif.gbm.preproc.preproc.tuned(25)_openml.seed1
mlr.classif.gbm.preproc.preproc.tuned(25)_openml.kindMersenne-Twister
mlr.classif.gbm.preproc.preproc.tuned(25)_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
0.6714
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6199
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3434
Cross-validation details (10-fold Crossvalidation)
KB relative information score
887.3239
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2357
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3794
Cross-validation details (10-fold Crossvalidation)
Number of instances
2500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5966
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6464
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3187
Cross-validation details (10-fold Crossvalidation)
Recall
0.6464
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6213
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4355
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4855
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1148
Cross-validation details (10-fold Crossvalidation)