Run
8543463

Run 8543463

Task 145836 (Supervised Classification) blood-transfusion-service-center Uploaded 19-11-2017 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(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees927
mlr.classif.ranger(9)_mtry4
mlr.classif.ranger(9)_min.node.size337
mlr.classif.ranger(9)_sample.fraction0.966440676688217
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
0.7214
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6591
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
15.4909
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.327
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
0.5807
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.762
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.762
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9008
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4035
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9476
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
2168.0736
UserCPU time millis
0.773
UserCPU time millis testing
0.117
UserCPU time millis training
0.656