Run
1815513

Run 1815513

Task 9956 (Supervised Classification) one-hundred-plants-texture Uploaded 09-09-2016 by Michel Lang
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Flow

mlr.classif.ranger.preproc.preproc.tuned(54)Learner mlr.classif.ranger.preproc.preproc.tuned from package(s) ranger.
mlr.classif.ranger.preproc.preproc.tuned(54)_openml.seed1
mlr.classif.ranger.preproc.preproc.tuned(54)_openml.kindMersenne-Twister
mlr.classif.ranger.preproc.preproc.tuned(54)_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
0.9223
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8399
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8446
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1352.4404
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0031
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0198
Cross-validation details (10-fold Crossvalidation)
Number of instances
1599
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8484
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8462
Cross-validation details (10-fold Crossvalidation)
Prior entropy
6.6438
Cross-validation details (10-fold Crossvalidation)
Recall
0.8462
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1554
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0995
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0555
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5575
Cross-validation details (10-fold Crossvalidation)