Run
571586

Run 571586

Task 3561 (Supervised Classification) profb Uploaded 05-05-2016 by Rafael Gomes Mantovani
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Flow

classif.ksvm(8)Learner classif.ksvm from package(s) kernlab.
classif.ksvm(8)_fitFALSE
classif.ksvm(8)_openml.seed1
classif.ksvm(8)_openml.kindMersenne-Twister
classif.ksvm(8)_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.

20 Evaluation measures

Area under ROC curve
0.5658
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6312
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.161
Cross-validation details (10-fold Crossvalidation)
KB relative information score
187.7249
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3051
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4446
Cross-validation details (10-fold Crossvalidation)
Number of instances
672
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6845
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6949
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9188
Cross-validation details (10-fold Crossvalidation)
Recall
0.6949
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6861
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5523
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1717
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.51
UserCPU time millis testing
0.06
UserCPU time millis training
0.45