Run
8590338

Run 8590338

Task 145836 (Supervised Classification) blood-transfusion-service-center Uploaded 29-11-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees1003
mlr.classif.ranger(15)_mtry3
mlr.classif.ranger(15)_min.node.size10
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.865070833452046
mlr.classif.ranger(15)_respect.unordered.factorsTRUE
mlr.classif.ranger(15)_num.threads1
mlr.classif.ranger(15)_verboseFALSE
mlr.classif.ranger(15)_openml.seed1
mlr.classif.ranger(15)_openml.kindMersenne-Twister
mlr.classif.ranger(15)_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
0.7001
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7415
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.248
Cross-validation details (10-fold Crossvalidation)
KB relative information score
79.9708
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3003
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
0.7348
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
0.827
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4156
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9759
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1078.3337
UserCPU time millis
9.75
UserCPU time millis testing
1.98
UserCPU time millis training
7.77