Run
4382251

Run 4382251

Task 145836 (Supervised Classification) blood-transfusion-service-center Uploaded 05-07-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • AzureBot19 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.trees1071
mlr.classif.ranger(13)_mtry2
mlr.classif.ranger(13)_sample.fraction0.81396987659391
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
0.72
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7492
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2648
Cross-validation details (10-fold Crossvalidation)
KB relative information score
94.4397
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3012
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
0.7462
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7741
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.7741
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8296
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4017
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9433
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1274.9789
UserCPU time millis
21.471
UserCPU time millis testing
2.192
UserCPU time millis training
19.279