Run
316190

Run 316190

Task 4571 (Supervised Classification) primary-tumor Uploaded 21-03-2015 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

0.7791
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.7843
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.4008
Cross-validation details (10 times 10-fold Crossvalidation)
1000.4668
Cross-validation details (10 times 10-fold Crossvalidation)
0.2552
Cross-validation details (10 times 10-fold Crossvalidation)
0.3735
Cross-validation details (10 times 10-fold Crossvalidation)
3390
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-31-generic]
0.781
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.7941
Cross-validation details (10 times 10-fold Crossvalidation)
0.8101
Cross-validation details (10 times 10-fold Crossvalidation)
0.7941
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.6832
Cross-validation details (10 times 10-fold Crossvalidation)
0.4317
Cross-validation details (10 times 10-fold Crossvalidation)
0.3969
Cross-validation details (10 times 10-fold Crossvalidation)
0.9193
Cross-validation details (10 times 10-fold Crossvalidation)
1280.6338
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)