Run
1873847

Run 1873847

Task 3891 (Supervised Classification) gina_agnostic Uploaded 29-03-2017 by Philipp Probst
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(7)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(7)_num.trees152
mlr.classif.ranger(7)_mtry390
mlr.classif.ranger(7)_replaceFALSE
mlr.classif.ranger(7)_sample.fraction0.188625591760501
mlr.classif.ranger(7)_respect.unordered.factorsTRUE
mlr.classif.ranger(7)_num.threads1
mlr.classif.ranger(7)_verboseFALSE
mlr.classif.ranger(7)_openml.seed1
mlr.classif.ranger(7)_openml.kindMersenne-Twister
mlr.classif.ranger(7)_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.

17 Evaluation measures

Area under ROC curve
0.9678
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9083
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8166
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2151.2169
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2113
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4999
Cross-validation details (10-fold Crossvalidation)
Number of instances
3468
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9084
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9083
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9998
Cross-validation details (10-fold Crossvalidation)
Recall
0.9083
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4226
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4999
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2804
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5609
Cross-validation details (10-fold Crossvalidation)