Run
1664022

Run 1664022

Task 3896 (Supervised Classification) ada_agnostic 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.PART(4)Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
weka.PART(4)_C0.25
weka.PART(4)_M2
weka.PART(4)_Q1

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
0.8216
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8163
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5003
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1882.7194
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2023
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3732
Cross-validation details (10-fold Crossvalidation)
Number of instances
4562
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8143
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8194
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8085
Cross-validation details (10-fold Crossvalidation)
Recall
0.8194
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5421
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4319
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3786
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8764
Cross-validation details (10-fold Crossvalidation)