Run
8651900

Run 8651900

Task 49 (Supervised Classification) tic-tac-toe Uploaded 14-12-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees1253
mlr.classif.ranger(15)_mtry9
mlr.classif.ranger(15)_min.node.size37
mlr.classif.ranger(15)_sample.fraction0.287215154990554
mlr.classif.ranger(15)_num.threads1
mlr.classif.ranger(15)_verboseFALSE
mlr.classif.ranger(15)_openml.seed1
mlr.classif.ranger(15)_openml.kindMersenne-Twister
mlr.classif.ranger(15)_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
0.8551
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7999
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5487
Cross-validation details (10-fold Crossvalidation)
KB relative information score
273.5029
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3404
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
0.8592
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8205
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (10-fold Crossvalidation)
Recall
0.8205
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7514
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3858
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8107
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1366.6146
UserCPU time millis
2.53
UserCPU time millis testing
0.34
UserCPU time millis training
2.19