Run
2081965

Run 2081965

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 21-04-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(10)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(10)_num.trees74
mlr.classif.ranger(10)_mtry3
mlr.classif.ranger(10)_sample.fraction0.150472474633716
mlr.classif.ranger(10)_respect.unordered.factorsTRUE
mlr.classif.ranger(10)_num.threads1
mlr.classif.ranger(10)_verboseFALSE
mlr.classif.ranger(10)_openml.seed1
mlr.classif.ranger(10)_openml.kindMersenne-Twister
mlr.classif.ranger(10)_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
0.7426
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7558
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2799
Cross-validation details (10-fold Crossvalidation)
KB relative information score
102.481
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.303
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
0.759
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7848
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.7848
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8347
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3917
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9199
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
925.665
UserCPU time millis
0.28
UserCPU time millis testing
0.09
UserCPU time millis training
0.19