OpenML
1870418

Run 1870418

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)_cost0.0314293177104189
mlr.classif.svm(7)_kernelpolynomial
mlr.classif.svm(7)_degree5
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
0.9735
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8494
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6726
Cross-validation details (10-fold Crossvalidation)
KB relative information score
302.8438
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2339
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
0.8769
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8576
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.953
Cross-validation details (10-fold Crossvalidation)
Recall
0.8576
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5001
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4835
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3182
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6581
Cross-validation details (10-fold Crossvalidation)