Run
1663162

Run 1663162

Task 9905 (Supervised Classification) autoUniv-au7-700 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
0.6854
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5012
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2518
Cross-validation details (10-fold Crossvalidation)
KB relative information score
198.7475
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3504
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4437
Cross-validation details (10-fold Crossvalidation)
Number of instances
700
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5016
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5014
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5824
Cross-validation details (10-fold Crossvalidation)
Recall
0.5014
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7898
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.471
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4646
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9864
Cross-validation details (10-fold Crossvalidation)