Run
1833862

Run 1833862

Task 57 (Supervised Classification) ionosphere Uploaded 22-10-2016 by Marco Niemann
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Flow

mlr.classif.ksvm(6)Learner mlr.classif.ksvm from package(s) kernlab.
mlr.classif.ksvm(6)_kernelpolydot
mlr.classif.ksvm(6)_C5.7
mlr.classif.ksvm(6)_fitFALSE
mlr.classif.ksvm(6)_openml.seed1
mlr.classif.ksvm(6)_openml.kindMersenne-Twister
mlr.classif.ksvm(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.

17 Evaluation measures

Area under ROC curve
0.8433
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8736
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7206
Cross-validation details (10-fold Crossvalidation)
KB relative information score
254.1134
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1225
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4604
Cross-validation details (10-fold Crossvalidation)
Number of instances
351
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.882
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8775
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9425
Cross-validation details (10-fold Crossvalidation)
Recall
0.8775
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2661
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4797
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.35
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7296
Cross-validation details (10-fold Crossvalidation)