OpenML
1859030

Run 1859030

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 27-03-2017 by Philipp Probst
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.svm(7)Learner mlr.classif.svm from package(s) e1071.
mlr.classif.svm(7)_cost0.0650861619736496
mlr.classif.svm(7)_gamma8.35429264064846
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
0.6357
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7227
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1745
Cross-validation details (10-fold Crossvalidation)
KB relative information score
54.694
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3354
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
0.7402
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7741
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.7741
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9238
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4113
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9659
Cross-validation details (10-fold Crossvalidation)