Run
8590454

Run 8590454

Task 145836 (Supervised Classification) blood-transfusion-service-center Uploaded 29-11-2017 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(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees1811
mlr.classif.ranger(15)_mtry4
mlr.classif.ranger(15)_min.node.size2
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.743375646159984
mlr.classif.ranger(15)_respect.unordered.factorsTRUE
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
0.6714
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7295
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2223
Cross-validation details (10-fold Crossvalidation)
KB relative information score
55.7936
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.306
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
0.7213
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7447
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.7447
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8428
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4356
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.023
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1287.419
UserCPU time millis
12.8
UserCPU time millis testing
1.37
UserCPU time millis training
11.43