OpenML
8356157

Run 8356157

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.trees36
mlr.classif.ranger(13)_mtry9
mlr.classif.ranger(13)_min.node.size334
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.451019933121279
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
0.9851
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9426
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.885
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1732.2277
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2621
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
0.9437
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9427
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (10-fold Crossvalidation)
Recall
0.9427
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5253
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4995
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2893
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5791
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1250.9903
UserCPU time millis
4.892
UserCPU time millis testing
0.34
UserCPU time millis training
4.552