OpenML
2362932

Run 2362932

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)_cost422.43528762348
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
0.8986
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8565
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6884
Cross-validation details (10-fold Crossvalidation)
KB relative information score
277.063
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2571
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
0.8668
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8612
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.953
Cross-validation details (10-fold Crossvalidation)
Recall
0.8612
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5497
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4835
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3416
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7066
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1730.2733
UserCPU time millis
2.532
UserCPU time millis testing
0.035
UserCPU time millis training
2.497