Run
337688

Run 337688

Task 3873 (Supervised Classification) dermatology 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
1
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9973
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9936
Cross-validation details (10-fold Crossvalidation)
KB relative information score
361.3491
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0052
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4251
Cross-validation details (10-fold Crossvalidation)
Number of instances
366
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9973
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9973
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8898
Cross-validation details (10-fold Crossvalidation)
Recall
0.9973
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0123
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4608
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0407
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.0884
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1267.7714
UserCPU time millis
240
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
240
Cross-validation details (10-fold Crossvalidation)