Run
1833984

Run 1833984

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)_C7.2
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
0.9479
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9597
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9118
Cross-validation details (10-fold Crossvalidation)
KB relative information score
319.2886
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0399
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
0.9611
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9601
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9425
Cross-validation details (10-fold Crossvalidation)
Recall
0.9601
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0866
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4797
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1997
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4163
Cross-validation details (10-fold Crossvalidation)