OpenML
1815209

Run 1815209

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

mlr.classif.ranger.preproc.preproc.tuned(6)Learner mlr.classif.ranger.preproc.preproc.tuned from package(s) ranger.
mlr.classif.ranger.preproc.preproc.tuned(6)_openml.seed1
mlr.classif.ranger.preproc.preproc.tuned(6)_openml.kindMersenne-Twister
mlr.classif.ranger.preproc.preproc.tuned(6)_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
0.9778
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.96
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9556
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1916.3394
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.008
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
0.9604
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.96
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.96
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0444
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0894
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2981
Cross-validation details (10-fold Crossvalidation)