Run
2081934

Run 2081934

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.trees503
mlr.classif.ranger(10)_mtry1
mlr.classif.ranger(10)_replaceFALSE
mlr.classif.ranger(10)_sample.fraction0.406716215680353
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
0.7288
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7527
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.271
Cross-validation details (10-fold Crossvalidation)
KB relative information score
91.1825
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.308
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
0.7551
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7821
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.7821
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8484
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3949
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9273
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
799.397
UserCPU time millis
2.24
UserCPU time millis testing
0.26
UserCPU time millis training
1.98