Run
2242809

Run 2242809

Task 145836 (Supervised Classification) blood-transfusion-service-center Uploaded 18-05-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.kknn(10)Learner mlr.classif.kknn from package(s) !kknn.
mlr.classif.kknn(10)_k16
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
0.7212
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7471
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2595
Cross-validation details (10-fold Crossvalidation)
KB relative information score
71.7261
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3047
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
0.7432
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7714
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.7714
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8392
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4048
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9505
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1768.84
UserCPU time millis
0.092
UserCPU time millis testing
0.088
UserCPU time millis training
0.004