Run
8710889

Run 8710889

Task 145804 (Supervised Classification) tic-tac-toe Uploaded 28-12-2017 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.trees854
mlr.classif.ranger(16)_mtry2
mlr.classif.ranger(16)_min.node.size34
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.167081835819408
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
0.7962
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6328
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2039
Cross-validation details (10-fold Crossvalidation)
KB relative information score
108.0204
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4122
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
0.7931
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7098
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (10-fold Crossvalidation)
Recall
0.7098
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9099
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4389
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9223
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1370.078
UserCPU time millis
1.339
UserCPU time millis testing
0.216
UserCPU time millis training
1.123