Run
399615

Run 399615

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 16-04-2015 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
0.7834
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8193
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1717
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-9.1084
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2026
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2462
Cross-validation details (10-fold Crossvalidation)
Number of instances
559
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8104
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8497
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5956
Cross-validation details (10-fold Crossvalidation)
Recall
0.8497
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8228
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3502
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3355
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9582
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
906.0884
UserCPU time millis
160
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
160
Cross-validation details (10-fold Crossvalidation)