Run
1840402

Run 1840402

Task 125968 (Supervised Classification) SpeedDating Uploaded 22-11-2016 by J B
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Flow

weka.LMT(3)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(3)_I3
weka.LMT(3)_M9
weka.LMT(3)_W0.0
weka.LMT(3)_Atrue

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
0.8366
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
5.6177
Cross-validation details (10-fold Crossvalidation)
F measure
0.8369
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3527
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1281.8034
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2052
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2752
Cross-validation details (10-fold Crossvalidation)
Number of instances
8378
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8365
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8566
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8566
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7457
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3224
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8693
Cross-validation details (10-fold Crossvalidation)
Total cost
47065
Cross-validation details (10-fold Crossvalidation)