Run
508447

Run 508447

Task 3888 (Supervised Classification) grub-damage Uploaded 27-01-2016 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
0.6514
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7254
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3423
Cross-validation details (10-fold Crossvalidation)
KB relative information score
59.3423
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2516
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4332
Cross-validation details (10-fold Crossvalidation)
Number of instances
155
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7368
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7484
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9027
Cross-validation details (10-fold Crossvalidation)
Recall
0.7484
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5808
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.465
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5016
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0788
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.291
UserCPU time millis testing
0.058
UserCPU time millis training
0.233