Run
8624273

Run 8624273

Task 145804 (Supervised Classification) tic-tac-toe Uploaded 07-12-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees73
mlr.classif.ranger(16)_mtry9
mlr.classif.ranger(16)_min.node.size53
mlr.classif.ranger(16)_sample.fraction0.3320841278648
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
0.8184
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7852
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5163
Cross-validation details (10-fold Crossvalidation)
KB relative information score
240.4057
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3541
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
0.8503
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.809
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (10-fold Crossvalidation)
Recall
0.809
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7816
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3998
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8401
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
877.0699
UserCPU time millis
0.987
UserCPU time millis testing
0.343
UserCPU time millis training
0.644