Run
510933

Run 510933

Task 9947 (Supervised Classification) heart-long-beach 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
0.5723
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3457
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1465
Cross-validation details (10-fold Crossvalidation)
KB relative information score
45.2252
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.256
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3075
Cross-validation details (10-fold Crossvalidation)
Number of instances
200
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.3447
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.36
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.1831
Cross-validation details (10-fold Crossvalidation)
Recall
0.36
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8325
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3919
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.506
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.291
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.483
UserCPU time millis testing
0.134
UserCPU time millis training
0.349