Run
225687

Run 225687

Task 4361 (Supervised Classification) diabetes_numeric Uploaded 01-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.VFI(1)G. Demiroz, A. Guvenir: Classification by voting feature intervals. In: 9th European Conference on Machine Learning, 85-92, 1997.
weka.VFI(1)_B0.6

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.6256
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.5475
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.1617
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
56.8739
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.4139
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4791
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
430
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6235
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.5535
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.971
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.5535
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.8639
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4889
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4681
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9573
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
926.6704