Run
8624311

Run 8624311

Task 145804 (Supervised Classification) tic-tac-toe Uploaded 07-12-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees1336
mlr.classif.ranger(16)_mtry6
mlr.classif.ranger(16)_min.node.size2
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.999693375523202
mlr.classif.ranger(16)_num.threads1
mlr.classif.ranger(16)_verboseFALSE
mlr.classif.ranger(16)_openml.seed1
mlr.classif.ranger(16)_openml.kindMersenne-Twister
mlr.classif.ranger(16)_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
0.9979
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9727
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9393
Cross-validation details (10-fold Crossvalidation)
KB relative information score
750.956
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1137
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.453
Cross-validation details (10-fold Crossvalidation)
Number of instances
958
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9733
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9729
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (10-fold Crossvalidation)
Recall
0.9729
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2509
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1849
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3886
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
884.9149
UserCPU time millis
20.792
UserCPU time millis testing
3.471
UserCPU time millis training
17.321