Run
8371830

Run 8371830

Task 145804 (Supervised Classification) tic-tac-toe Uploaded 31-10-2017 by OpenML_Bot R
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Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees122
mlr.classif.ranger(13)_mtry27
mlr.classif.ranger(13)_min.node.size35
mlr.classif.ranger(13)_sample.fraction0.80983098144643
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
0.9914
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9683
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9294
Cross-validation details (10-fold Crossvalidation)
KB relative information score
647.1765
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1703
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
0.9701
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9687
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (10-fold Crossvalidation)
Recall
0.9687
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.376
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2331
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4897
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1280.0343
UserCPU time millis
4.477
UserCPU time millis testing
0.198
UserCPU time millis training
4.279