Run
8683068

Run 8683068

Task 145804 (Supervised Classification) tic-tac-toe Uploaded 25-12-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees352
mlr.classif.ranger(9)_mtry4
mlr.classif.ranger(9)_min.node.size4
mlr.classif.ranger(9)_sample.fraction0.87320745321922
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_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
0.9993
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9576
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9051
Cross-validation details (10-fold Crossvalidation)
KB relative information score
634.7681
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.181
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
0.9608
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9582
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (10-fold Crossvalidation)
Recall
0.9582
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3996
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2275
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4781
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1834.0639
UserCPU time millis
2.281
UserCPU time millis testing
0.237
UserCPU time millis training
2.044