Run
1762350

Run 1762350

Task 9903 (Supervised Classification) autoUniv-au7-500 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
0.639
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3236
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1192
Cross-validation details (10-fold Crossvalidation)
KB relative information score
57.914
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2863
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2996
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.3689
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.416
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.1516
Cross-validation details (10-fold Crossvalidation)
Recall
0.416
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9556
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3869
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3786
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9784
Cross-validation details (10-fold Crossvalidation)