OpenML
1870709

Run 1870709

Task 3485 (Supervised Classification) scene 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)_cost0.491634509067558
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.

17 Evaluation measures

Area under ROC curve
0.9024
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8713
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5375
Cross-validation details (10-fold Crossvalidation)
KB relative information score
916.9044
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1743
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2942
Cross-validation details (10-fold Crossvalidation)
Number of instances
2407
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8711
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8799
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6786
Cross-validation details (10-fold Crossvalidation)
Recall
0.8799
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5925
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3834
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2939
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7666
Cross-validation details (10-fold Crossvalidation)