Run
2082862

Run 2082862

Task 145682 (Supervised Classification) spectrometer Uploaded 21-04-2017 by Freek Rooks
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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)_I75
weka.SimpleLogistic(6)_M75
weka.SimpleLogistic(6)_H75
weka.SimpleLogistic(6)_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
0.917
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4511
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4717
Cross-validation details (10-fold Crossvalidation)
KB relative information score
262.5048
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0221
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0396
Cross-validation details (10-fold Crossvalidation)
Number of instances
531
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.441
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5028
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.5028
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5566
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1254
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8916
Cross-validation details (10-fold Crossvalidation)