Run
383579

Run 383579

Task 4528 (Supervised Classification) postoperative-patient-data Uploaded 03-04-2015 by Joaquin Vanschoren
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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

0.4383
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.5849
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
-0.0578
Cross-validation details (10 times 10-fold Crossvalidation)
-159.4637
Cross-validation details (10 times 10-fold Crossvalidation)
0.4477
Cross-validation details (10 times 10-fold Crossvalidation)
0.4128
Cross-validation details (10 times 10-fold Crossvalidation)
900
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]
0.5526
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.6522
Cross-validation details (10 times 10-fold Crossvalidation)
0.8732
Cross-validation details (10 times 10-fold Crossvalidation)
0.6522
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
1.0844
Cross-validation details (10 times 10-fold Crossvalidation)
0.4533
Cross-validation details (10 times 10-fold Crossvalidation)
0.4915
Cross-validation details (10 times 10-fold Crossvalidation)
1.0843
Cross-validation details (10 times 10-fold Crossvalidation)
932.1893
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)