Run
1663628

Run 1663628

Task 9970 (Supervised Classification) hill-valley 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
0.6254
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5371
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1601
Cross-validation details (10-fold Crossvalidation)
KB relative information score
24.0809
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4923
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
1212
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6272
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.58
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.58
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9846
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4938
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9877
Cross-validation details (10-fold Crossvalidation)