Run
8601066

Run 8601066

Task 145836 (Supervised Classification) blood-transfusion-service-center Uploaded 30-11-2017 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.trees428
mlr.classif.ranger(9)_mtry1
mlr.classif.ranger(9)_min.node.size4
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.426159523054957
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
0.7258
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7467
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2531
Cross-validation details (10-fold Crossvalidation)
KB relative information score
94.1379
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3059
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
0.7767
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
0.8425
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3962
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9303
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1951.414
UserCPU time millis
1.729
UserCPU time millis testing
0.181
UserCPU time millis training
1.548