OpenML
1870482

Run 1870482

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)_cost2.81026790884029
mlr.classif.svm(7)_kernelpolynomial
mlr.classif.svm(7)_degree4
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
0.8927
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8193
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6071
Cross-validation details (10-fold Crossvalidation)
KB relative information score
255.9803
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2736
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
0.8452
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8295
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.953
Cross-validation details (10-fold Crossvalidation)
Recall
0.8295
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.585
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4835
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3568
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7379
Cross-validation details (10-fold Crossvalidation)