OpenML
8277114

Run 8277114

Task 3891 (Supervised Classification) gina_agnostic Uploaded 27-10-2017 by OpenML_Bot R
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  • AzureBot1 botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees1504
mlr.classif.ranger(13)_mtry9
mlr.classif.ranger(13)_min.node.size149
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.602670199377462
mlr.classif.ranger(13)_respect.unordered.factorsTRUE
mlr.classif.ranger(13)_num.threads1
mlr.classif.ranger(13)_verboseFALSE
mlr.classif.ranger(13)_openml.seed1
mlr.classif.ranger(13)_openml.kindMersenne-Twister
mlr.classif.ranger(13)_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.

21 Evaluation measures

Area under ROC curve
0.9532
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8829
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7658
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1423.3419
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3225
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
0.883
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8829
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9998
Cross-validation details (10-fold Crossvalidation)
Recall
0.8829
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6452
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4999
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3515
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.703
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1290.9143
UserCPU time millis
167.054
UserCPU time millis testing
8.388
UserCPU time millis training
158.666