OpenML
1859036

Run 1859036

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)_cost34.0115161087474
mlr.classif.svm(7)_gamma1.53379148051991
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
0.6552
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6701
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0212
Cross-validation details (10-fold Crossvalidation)
KB relative information score
20.579
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3466
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
0.6621
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7527
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.7527
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9546
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4153
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9752
Cross-validation details (10-fold Crossvalidation)