OpenML
2362601

Run 2362601

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)_cost601.643961375912
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.

21 Evaluation measures

Area under ROC curve
0.8317
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6742
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.311
Cross-validation details (10-fold Crossvalidation)
KB relative information score
105.224
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3941
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
0.7725
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7223
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.953
Cross-validation details (10-fold Crossvalidation)
Recall
0.7223
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8428
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4835
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4359
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9015
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1879.6789
UserCPU time millis
1.335
UserCPU time millis testing
0.034
UserCPU time millis training
1.301