Run
510357

Run 510357

Task 38 (Supervised Classification) ecoli Uploaded 27-01-2016 by Rafael Gomes Mantovani
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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
0.9184
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8689
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8264
Cross-validation details (10-fold Crossvalidation)
KB relative information score
264.8752
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0313
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1828
Cross-validation details (10-fold Crossvalidation)
Number of instances
336
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8644
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.875
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2353
Cross-validation details (10-fold Crossvalidation)
Recall
0.875
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.171
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3016
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1768
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5861
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
1.036
UserCPU time millis testing
0.329
UserCPU time millis training
0.707