Run
7829806

Run 7829806

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 10-09-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • AzureBot13 botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees312
mlr.classif.ranger(13)_mtry2
mlr.classif.ranger(13)_sample.fraction0.934248521621339
mlr.classif.ranger(13)_num.threads1
mlr.classif.ranger(13)_verboseFALSE
mlr.classif.ranger(13)_openml.seed1
mlr.classif.ranger(13)_openml.kindMersenne-Twister
mlr.classif.ranger(13)_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
0.7158
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7493
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2642
Cross-validation details (10-fold Crossvalidation)
KB relative information score
90.2076
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3016
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
0.7473
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7754
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.7754
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8307
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4041
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9489
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1331.3867
UserCPU time millis
7.257
UserCPU time millis testing
0.694
UserCPU time millis training
6.563