Run
2242841

Run 2242841

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)_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
0.6834
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7232
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2232
Cross-validation details (10-fold Crossvalidation)
KB relative information score
17.6273
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.314
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
0.7187
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7286
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.7286
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8648
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4346
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0207
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1868.1832
UserCPU time millis
0.084
UserCPU time millis testing
0.08
UserCPU time millis training
0.004