Run
470610

Run 470610

Task 4648 (Supervised Classification) lymphoma_11classes Uploaded 23-07-2015 by Joaquin Vanschoren
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Flow

weka.NBTree(3)Ron Kohavi: Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. In: Second International Conference on Knoledge Discovery and Data Mining, 202-207, 1996.

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

0.8792
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.7491
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.6934
Cross-validation details (10 times 10-fold Crossvalidation)
670.2393
Cross-validation details (10 times 10-fold Crossvalidation)
0.047
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)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.7669
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.7417
Cross-validation details (10 times 10-fold Crossvalidation)
3.0892
Cross-validation details (10 times 10-fold Crossvalidation)
0.7417
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.3031
Cross-validation details (10 times 10-fold Crossvalidation)
0.2776
Cross-validation details (10 times 10-fold Crossvalidation)
0.2041
Cross-validation details (10 times 10-fold Crossvalidation)
0.7352
Cross-validation details (10 times 10-fold Crossvalidation)
931.771
10816990
Cross-validation details (10 times 10-fold Crossvalidation)
2130
Cross-validation details (10 times 10-fold Crossvalidation)
10814860
Cross-validation details (10 times 10-fold Crossvalidation)