Run
1664784

Run 1664784

Task 9986 (Supervised Classification) gas-drift 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
0.9974
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.991
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9891
Cross-validation details (10-fold Crossvalidation)
KB relative information score
13747.6985
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.004
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2748
Cross-validation details (10-fold Crossvalidation)
Number of instances
13910
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.991
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.991
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.5457
Cross-validation details (10-fold Crossvalidation)
Recall
0.991
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0147
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3707
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0527
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1422
Cross-validation details (10-fold Crossvalidation)