Run
516955

Run 516955

Task 3496 (Supervised Classification) SPECTF Uploaded 29-01-2016 by Rafael Gomes Mantovani
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

classif.ksvm(4)Learner classif.ksvm from package(s) kernlab.
classif.ksvm(4)_fitFALSE
classif.ksvm(4)_seed1
classif.ksvm(4)_kindMersenne-Twister
classif.ksvm(4)_normal.kindInversion

Result files

Description

XML file describing the run, including user-defined evaluation measures.

Predictions

ARFF file with instance-level predictions generated by the model.

20 Evaluation measures

Area under ROC curve
0.8113
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8463
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6146
Cross-validation details (10-fold Crossvalidation)
KB relative information score
199.5157
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1547
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3968
Cross-validation details (10-fold Crossvalidation)
Number of instances
349
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8475
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8453
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8464
Cross-validation details (10-fold Crossvalidation)
Recall
0.8453
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3899
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4451
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3934
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8837
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.961
UserCPU time millis testing
0.129
UserCPU time millis training
0.832