OpenML
2362660

Run 2362660

Task 145878 (Supervised Classification) wdbc Uploaded 30-05-2017 by OpenML_Bot R
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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)_cost50.8830639143484
mlr.classif.svm(7)_kernelpolynomial
mlr.classif.svm(7)_degree2
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.

21 Evaluation measures

Area under ROC curve
0.926
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.881
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.742
Cross-validation details (10-fold Crossvalidation)
KB relative information score
333.0581
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2092
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
0.8881
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.884
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.953
Cross-validation details (10-fold Crossvalidation)
Recall
0.884
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4474
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4835
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3073
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6357
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1721.4429
UserCPU time millis
1.574
UserCPU time millis testing
0.042
UserCPU time millis training
1.532