Run
1663257

Run 1663257

Task 9946 (Supervised Classification) wdbc Uploaded 19-07-2016 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.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
0.9939
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9718
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9395
Cross-validation details (10-fold Crossvalidation)
KB relative information score
518.3023
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0438
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4676
Cross-validation details (10-fold Crossvalidation)
Number of instances
569
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9719
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9719
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.953
Cross-validation details (10-fold Crossvalidation)
Recall
0.9719
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0937
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4835
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.148
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.306
Cross-validation details (10-fold Crossvalidation)