Run
6237646

Run 6237646

Task 3891 (Supervised Classification) gina_agnostic Uploaded 28-08-2017 by OpenML_Bot R
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Flow

mlr.classif.svm(6)Learner mlr.classif.svm from package(s) e1071.
mlr.classif.svm(6)_cost0.0111034364187448
mlr.classif.svm(6)_kernelpolynomial
mlr.classif.svm(6)_openml.seed1
mlr.classif.svm(6)_openml.kindMersenne-Twister
mlr.classif.svm(6)_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
0.9073
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7991
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6017
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1221.0499
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3424
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4999
Cross-validation details (10-fold Crossvalidation)
Number of instances
3468
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8147
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8016
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9998
Cross-validation details (10-fold Crossvalidation)
Recall
0.8016
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6849
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4999
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3899
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7799
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1261.6764
UserCPU time millis
3925.492
UserCPU time millis testing
62.107
UserCPU time millis training
3863.385