Run
1810785

Run 1810785

Task 3962 (Supervised Classification) OVA_Breast Uploaded 01-08-2016 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.LWL_J48(3)Eibe Frank, Mark Hall, Bernhard Pfahringer: Locally Weighted Naive Bayes. In: 19th Conference in Uncertainty in Artificial Intelligence, 249-256, 2003. C. Atkeson, A. Moore, S. Schaal (1996). Locally weighted learning. AI Review..
weka.J48(33)_C0.25
weka.J48(33)_M2
weka.LWL_J48(3)_Atrue
weka.LWL_J48(3)_K-1
weka.LWL_J48(3)_U0
weka.LWL_J48(3)_Wweka.classifiers.trees.J48

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
0.8803
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9338
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8081
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1199.8267
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0682
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3464
Cross-validation details (10-fold Crossvalidation)
Number of instances
1545
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9336
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.934
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7656
Cross-validation details (10-fold Crossvalidation)
Recall
0.934
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1969
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.416
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.254
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6106
Cross-validation details (10-fold Crossvalidation)