Run
338106

Run 338106

Task 4565 (Supervised Classification) balance-scale Uploaded 27-03-2015 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
0.963
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.883
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.7642
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
3991.2805
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.193
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4969
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
6250
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8834
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8832
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9956
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8832
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.3885
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4985
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2845
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.5708
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1321.8132
UserCPU time millis
30
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
30
Cross-validation details (10 times 10-fold Crossvalidation)