Run
8167159

Run 8167159

Task 145836 (Supervised Classification) blood-transfusion-service-center Uploaded 19-10-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV10
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees21
mlr.classif.ranger(9)_mtry4
mlr.classif.ranger(9)_min.node.size13
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.325033383024856
mlr.classif.ranger(9)_respect.unordered.factorsTRUE
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
0.7162
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7547
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2833
Cross-validation details (10-fold Crossvalidation)
KB relative information score
90.8095
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3037
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.363
Cross-validation details (10-fold Crossvalidation)
Number of instances
748
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7513
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7767
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.7767
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8366
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4015
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9429
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1781.59
UserCPU time millis
0.09
UserCPU time millis testing
0.02
UserCPU time millis training
0.07