Run
1762139

Run 1762139

Task 3019 (Supervised Classification) Australian Uploaded 25-07-2016 by Jan van Rijn
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Flow

weka.SimpleLogistic(4)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(4)_I0
weka.SimpleLogistic(4)_M500
weka.SimpleLogistic(4)_H50
weka.SimpleLogistic(4)_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.

17 Evaluation measures

Area under ROC curve
0.9221
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8554
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7083
Cross-validation details (10-fold Crossvalidation)
KB relative information score
412.2037
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2123
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8569
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8551
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8551
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4298
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3243
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6526
Cross-validation details (10-fold Crossvalidation)