Run
1762343

Run 1762343

Task 9902 (Supervised Classification) autoUniv-au6-1000 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
0.4966
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.093
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0002
Cross-validation details (10-fold Crossvalidation)
KB relative information score
29.6368
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2149
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2147
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.0577
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.24
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.9228
Cross-validation details (10-fold Crossvalidation)
Recall
0.24
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0007
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3277
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3285
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0025
Cross-validation details (10-fold Crossvalidation)