Run
401005

Run 401005

Task 2922 (Supervised Classification) lung-cancer Uploaded 17-04-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.ADTree(4)Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
weka.ADTree(4)_B10
weka.ADTree(4)_E-3
weka.ADTree(4)_S1

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

0.7259
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.6835
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.1929
Cross-validation details (10 times 10-fold Crossvalidation)
55.9428
Cross-validation details (10 times 10-fold Crossvalidation)
0.316
Cross-validation details (10 times 10-fold Crossvalidation)
0.4099
Cross-validation details (10 times 10-fold Crossvalidation)
320
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]
0.6762
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.6969
Cross-validation details (10 times 10-fold Crossvalidation)
0.874
Cross-validation details (10 times 10-fold Crossvalidation)
0.6969
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.771
Cross-validation details (10 times 10-fold Crossvalidation)
0.4498
Cross-validation details (10 times 10-fold Crossvalidation)
0.4571
Cross-validation details (10 times 10-fold Crossvalidation)
1.0164
Cross-validation details (10 times 10-fold Crossvalidation)
930.0565
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)