Run
8331959

Run 8331959

Task 145836 (Supervised Classification) blood-transfusion-service-center Uploaded 30-10-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV10
Issue #Downvotes for this reason By


Flow

mlr.classif.kknn(10)Learner mlr.classif.kknn from package(s) !kknn.
mlr.classif.kknn(10)_k5
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
0.6687
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7001
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1837
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-12.9163
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3215
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
0.7041
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6965
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.6965
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8855
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4604
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0812
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1869.1727
UserCPU time millis
0.08
UserCPU time millis testing
0.074
UserCPU time millis training
0.006