Run
509728

Run 509728

Task 2382 (Supervised Classification) wine Uploaded 27-01-2016 by Rafael Gomes Mantovani
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Flow

classif.kknn(2)Learner classif.kknn from package(s) !kknn.
classif.kknn(2)_seed1
classif.kknn(2)_kindMersenne-Twister
classif.kknn(2)_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
0.9755
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.966
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.949
Cross-validation details (10-fold Crossvalidation)
KB relative information score
170.0409
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0225
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.439
Cross-validation details (10-fold Crossvalidation)
Number of instances
178
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9682
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9663
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9663
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0512
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4684
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1499
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.32
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.105
UserCPU time millis testing
0.098
UserCPU time millis training
0.007