Run
8691385

Run 8691385

Task 145804 (Supervised Classification) tic-tac-toe Uploaded 26-12-2017 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.trees378
mlr.classif.ranger(9)_mtry1
mlr.classif.ranger(9)_min.node.size183
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.817355327494443
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
0.7851
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5165
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
68.141
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4279
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
0.427
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6534
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (10-fold Crossvalidation)
Recall
0.6534
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9446
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4518
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9494
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1792.405
UserCPU time millis
0.606
UserCPU time millis testing
0.083
UserCPU time millis training
0.523