Run
6060462

Run 6060462

Task 2079 (Supervised Classification) eucalyptus Uploaded 03-08-2017 by Miguel Cachada
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Flow

weka.SimpleLogistic(6)Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees. 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.SimpleLogistic(6)_I0
weka.SimpleLogistic(6)_Strue
weka.SimpleLogistic(6)_M500
weka.SimpleLogistic(6)_H50
weka.SimpleLogistic(6)_W0.0
weka.SimpleLogistic(6)_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.

22 Evaluation measures

Area under ROC curve
0.904
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6696
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5806
Cross-validation details (10-fold Crossvalidation)
KB relative information score
408.5555
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1739
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3132
Cross-validation details (10-fold Crossvalidation)
Number of instances
736
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.6703
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6739
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2629
Cross-validation details (10-fold Crossvalidation)
Recall
0.6739
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5551
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3957
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3048
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7701
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1596.6791
UserCPU time millis
180
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
180
Cross-validation details (10-fold Crossvalidation)