Run
8355877

Run 8355877

Task 3 (Supervised Classification) kr-vs-kp Uploaded 31-10-2017 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.trees87
mlr.classif.ranger(13)_mtry23
mlr.classif.ranger(13)_min.node.size18
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.190238428348675
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
0.9973
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9697
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9392
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2862.616
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0582
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.499
Cross-validation details (10-fold Crossvalidation)
Number of instances
3196
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9697
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9697
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (10-fold Crossvalidation)
Recall
0.9697
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1165
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4995
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1466
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2934
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1235.8898
UserCPU time millis
5.139
UserCPU time millis testing
0.212
UserCPU time millis training
4.927