Run
511354

Run 511354

Task 3574 (Supervised Classification) rmftsa_sleepdata Uploaded 28-01-2016 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.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
0.6547
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5082
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3029
Cross-validation details (10-fold Crossvalidation)
KB relative information score
359.3682
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2393
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3514
Cross-validation details (10-fold Crossvalidation)
Number of instances
1024
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5021
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5215
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.8507
Cross-validation details (10-fold Crossvalidation)
Recall
0.5215
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6808
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4191
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4891
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.167
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.172
UserCPU time millis testing
0.161
UserCPU time millis training
0.011