Run
234352

Run 234352

Task 3810 (Supervised Classification) arsenic-male-bladder Uploaded 02-03-2015 by Jan van Rijn
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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
0.8536
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9702
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6022
Cross-validation details (10-fold Crossvalidation)
KB relative information score
91.1979
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0401
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0837
Cross-validation details (10-fold Crossvalidation)
Number of instances
559
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9703
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9732
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.2628
Cross-validation details (10-fold Crossvalidation)
Recall
0.9732
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.479
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2027
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1508
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7439
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1368.9272
UserCPU time millis
140
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
140
Cross-validation details (10-fold Crossvalidation)