Run
318990

Run 318990

Task 4361 (Supervised Classification) diabetes_numeric Uploaded 23-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.J48graft(1)Geoff Webb: Decision Tree Grafting From the All-Tests-But-One Partition. In: , San Francisco, CA, 1999.
weka.J48graft(1)_C0.25
weka.J48graft(1)_M2

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

0.517
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.5438
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.0533
Cross-validation details (10 times 10-fold Crossvalidation)
23.8568
Cross-validation details (10 times 10-fold Crossvalidation)
0.4519
Cross-validation details (10 times 10-fold Crossvalidation)
0.4791
Cross-validation details (10 times 10-fold Crossvalidation)
430
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.5561
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.5907
Cross-validation details (10 times 10-fold Crossvalidation)
0.971
Cross-validation details (10 times 10-fold Crossvalidation)
0.5907
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9432
Cross-validation details (10 times 10-fold Crossvalidation)
0.4889
Cross-validation details (10 times 10-fold Crossvalidation)
0.5392
Cross-validation details (10 times 10-fold Crossvalidation)
1.1028
Cross-validation details (10 times 10-fold Crossvalidation)
918.0213
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)