Run
289674

Run 289674

Task 4648 (Supervised Classification) lymphoma_11classes Uploaded 15-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.KStar(3)John G. Cleary, Leonard E. Trigg: K*: An Instance-based Learner Using an Entropic Distance Measure. In: 12th International Conference on Machine Learning, 108-114, 1995.
weka.KStar(3)_B20
weka.KStar(3)_Ma

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

0.5
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.0855
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
26.1681
Cross-validation details (10 times 10-fold Crossvalidation)
0.1653
Cross-validation details (10 times 10-fold Crossvalidation)
0.1551
Cross-validation details (10 times 10-fold Crossvalidation)
960
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
0.0525
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.2292
Cross-validation details (10 times 10-fold Crossvalidation)
3.0892
Cross-validation details (10 times 10-fold Crossvalidation)
0.2292
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
1.0655
Cross-validation details (10 times 10-fold Crossvalidation)
0.2776
Cross-validation details (10 times 10-fold Crossvalidation)
0.2875
Cross-validation details (10 times 10-fold Crossvalidation)
1.0357
Cross-validation details (10 times 10-fold Crossvalidation)
1384.4422
55920
Cross-validation details (10 times 10-fold Crossvalidation)
55920
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)