Run
1833704

Run 1833704

Task 57 (Supervised Classification) ionosphere Uploaded 22-10-2016 by Marco Niemann
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

mlr.classif.ksvm(6)Learner mlr.classif.ksvm from package(s) kernlab.
mlr.classif.ksvm(6)_kernelvanilladot
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
0.8287
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8591
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6887
Cross-validation details (10-fold Crossvalidation)
KB relative information score
242.8763
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1368
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
0.866
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8632
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9425
Cross-validation details (10-fold Crossvalidation)
Recall
0.8632
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.297
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4797
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3698
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7709
Cross-validation details (10-fold Crossvalidation)