Run
473814

Run 473814

Task 4517 (Supervised Classification) arsenic-female-bladder Uploaded 07-09-2015 by Joaquin Vanschoren
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Flow

weka.LADTree(4)Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall: Multiclass alternating decision trees. In: ECML, 161-172, 2001.
weka.LADTree(4)_B10

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

Area under ROC curve
0.78
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8149
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.1576
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
-247.4735
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2065
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.2462
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
5590
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.803
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8433
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.5956
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8433
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.839
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3502
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.34
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9709
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
931.4089