Run
1871202

Run 1871202

Task 3951 (Supervised Classification) desharnais Uploaded 28-03-2017 by Derek Lagrouw
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Flow

weka.SimpleLogistic(6)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(6)_I0
weka.SimpleLogistic(6)_M500
weka.SimpleLogistic(6)_H50
weka.SimpleLogistic(6)_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
0.7792
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7257
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5038
Cross-validation details (10-fold Crossvalidation)
KB relative information score
31.1599
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2644
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3804
Cross-validation details (10-fold Crossvalidation)
Number of instances
81
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7303
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7284
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3765
Cross-validation details (10-fold Crossvalidation)
Recall
0.7284
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.695
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4348
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3835
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8821
Cross-validation details (10-fold Crossvalidation)