OpenML
1859050

Run 1859050

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 27-03-2017 by Philipp Probst
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Flow

mlr.classif.svm(7)Learner mlr.classif.svm from package(s) e1071.
mlr.classif.svm(7)_cost0.00202644950544454
mlr.classif.svm(7)_kernelpolynomial
mlr.classif.svm(7)_degree2
mlr.classif.svm(7)_openml.seed1
mlr.classif.svm(7)_openml.kindMersenne-Twister
mlr.classif.svm(7)_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.

17 Evaluation measures

Area under ROC curve
0.5304
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6664
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0174
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4.7987
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3601
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
0.7013
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.762
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.762
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9919
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.425
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.998
Cross-validation details (10-fold Crossvalidation)