Run
1833792

Run 1833792

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)_C10
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
0.8429
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8712
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7157
Cross-validation details (10-fold Crossvalidation)
KB relative information score
251.8659
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1254
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
0.8773
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8746
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9425
Cross-validation details (10-fold Crossvalidation)
Recall
0.8746
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2722
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4797
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3541
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7381
Cross-validation details (10-fold Crossvalidation)