Run
8289000

Run 8289000

Task 145836 (Supervised Classification) blood-transfusion-service-center Uploaded 28-10-2017 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)_k27
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
0.7389
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7514
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2696
Cross-validation details (10-fold Crossvalidation)
KB relative information score
94.6995
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3017
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
0.7506
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7781
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.7781
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8311
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3952
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9282
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1757.6253
UserCPU time millis
0.062
UserCPU time millis testing
0.059
UserCPU time millis training
0.003