Run
1762606

Run 1762606

Task 3968 (Supervised Classification) OVA_Kidney Uploaded 25-07-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.SimpleLogistic(4)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(4)_I0
weka.SimpleLogistic(4)_M500
weka.SimpleLogistic(4)_H50
weka.SimpleLogistic(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
0.984
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9812
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9324
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1389.5332
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.026
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2802
Cross-validation details (10-fold Crossvalidation)
Number of instances
1545
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9811
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9812
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6548
Cross-validation details (10-fold Crossvalidation)
Recall
0.9812
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0926
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3741
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.126
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3368
Cross-validation details (10-fold Crossvalidation)