Run
8498674

Run 8498674

Task 145836 (Supervised Classification) blood-transfusion-service-center Uploaded 07-11-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.kknn(10)Learner mlr.classif.kknn from package(s) !kknn.
mlr.classif.kknn(10)_k28
mlr.classif.kknn(10)_openml.seed1
mlr.classif.kknn(10)_openml.kindMersenne-Twister
mlr.classif.kknn(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
0.7381
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7525
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2723
Cross-validation details (10-fold Crossvalidation)
KB relative information score
97.2347
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3013
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
0.7522
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7794
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.7794
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.83
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3948
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.927
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1857.5664
UserCPU time millis
0.218
UserCPU time millis testing
0.193
UserCPU time millis training
0.025