Run
194042

Run 194042

Task 1799 (Supervised Classification) dermatology Uploaded 26-02-2015 by Joaquin Vanschoren
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Flow

weka.SimpleLogistic(3)Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees. Marc Sumner, Eibe Frank, Mark Hall: Speeding up Logistic Model Tree Induction. In: 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, 675-683, 2005.
weka.SimpleLogistic(3)_I0
weka.SimpleLogistic(3)_M500
weka.SimpleLogistic(3)_H50
weka.SimpleLogistic(3)_W0.0

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

0.995
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.9593
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.9488
Cross-validation details (5 times 2-fold Crossvalidation)
1716.7499
Cross-validation details (5 times 2-fold Crossvalidation)
0.0217
Cross-validation details (5 times 2-fold Crossvalidation)
0.2664
Cross-validation details (5 times 2-fold Crossvalidation)
1830
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.9598
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.959
Cross-validation details (5 times 2-fold Crossvalidation)
2.4378
Cross-validation details (5 times 2-fold Crossvalidation)
0.959
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.0813
Cross-validation details (5 times 2-fold Crossvalidation)
0.3649
Cross-validation details (5 times 2-fold Crossvalidation)
0.1054
Cross-validation details (5 times 2-fold Crossvalidation)
0.2889
Cross-validation details (5 times 2-fold Crossvalidation)
944.0517
640
Cross-validation details (5 times 2-fold Crossvalidation)
Cross-validation details (5 times 2-fold Crossvalidation)
640
Cross-validation details (5 times 2-fold Crossvalidation)