Run
1663151

Run 1663151

Task 9904 (Supervised Classification) autoUniv-au6-750 Uploaded 19-07-2016 by Jan van Rijn
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Flow

weka.LMT(4)Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees. Machine Learning. 95(1-2):161-205. 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.LMT(4)_I-1
weka.LMT(4)_M15
weka.LMT(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
0.5093
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.1424
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0081
Cross-validation details (10-fold Crossvalidation)
KB relative information score
34.4807
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2133
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2137
Cross-validation details (10-fold Crossvalidation)
Number of instances
750
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.1822
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2093
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.8958
Cross-validation details (10-fold Crossvalidation)
Recall
0.2093
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9978
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3269
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3291
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0067
Cross-validation details (10-fold Crossvalidation)