Run
514689

Run 514689

Task 9969 (Supervised Classification) thoracic-surgery 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
0.5027
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7793
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0077
Cross-validation details (10-fold Crossvalidation)
KB relative information score
68.7412
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1745
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2546
Cross-validation details (10-fold Crossvalidation)
Number of instances
470
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7497
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8255
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6109
Cross-validation details (10-fold Crossvalidation)
Recall
0.8255
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6854
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.356
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4177
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1732
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.281
UserCPU time millis testing
0.268
UserCPU time millis training
0.013