OpenML
1870441

Run 1870441

Task 9946 (Supervised Classification) wdbc Uploaded 28-03-2017 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)_cost14.0630567839709
mlr.classif.svm(7)_gamma0.00418428380160494
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
0.9953
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9788
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9546
Cross-validation details (10-fold Crossvalidation)
KB relative information score
518.5941
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0456
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4676
Cross-validation details (10-fold Crossvalidation)
Number of instances
569
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.979
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9789
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.953
Cross-validation details (10-fold Crossvalidation)
Recall
0.9789
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0975
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4835
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1348
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2787
Cross-validation details (10-fold Crossvalidation)