Run
517090

Run 517090

Task 3857 (Supervised Classification) vehicle Uploaded 29-01-2016 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
0.9705
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9741
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9326
Cross-validation details (10-fold Crossvalidation)
KB relative information score
781.4606
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.026
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3828
Cross-validation details (10-fold Crossvalidation)
Number of instances
846
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9743
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.974
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8241
Cross-validation details (10-fold Crossvalidation)
Recall
0.974
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0679
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4374
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1613
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3687
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.267
UserCPU time millis testing
0.256
UserCPU time millis training
0.011