Run
8624328

Run 8624328

Task 145804 (Supervised Classification) tic-tac-toe Uploaded 07-12-2017 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.trees960
mlr.classif.ranger(16)_mtry4
mlr.classif.ranger(16)_min.node.size73
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.658789572445676
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
0.8631
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8008
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.55
Cross-validation details (10-fold Crossvalidation)
KB relative information score
239.4757
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3572
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
0.8492
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8194
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (10-fold Crossvalidation)
Recall
0.8194
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7886
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3942
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8283
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
883.7284
UserCPU time millis
6.125
UserCPU time millis testing
1.334
UserCPU time millis training
4.791