Run
8372345

Run 8372345

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.trees274
mlr.classif.ranger(13)_mtry8
mlr.classif.ranger(13)_min.node.size37
mlr.classif.ranger(13)_sample.fraction0.152896391949616
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
0.7967
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7036
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3343
Cross-validation details (10-fold Crossvalidation)
KB relative information score
137.002
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3954
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
0.755
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7401
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (10-fold Crossvalidation)
Recall
0.7401
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8729
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.429
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9015
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1275.1532
UserCPU time millis
2.373
UserCPU time millis testing
0.271
UserCPU time millis training
2.102