Run
578606

Run 578606

Task 30 (Supervised Classification) page-blocks Uploaded 03-06-2016 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.

22 Evaluation measures

Area under ROC curve
0.9559
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9686
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8352
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4220.7701
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0155
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0762
Cross-validation details (10-fold Crossvalidation)
Number of instances
5473
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.9687
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9686
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6391
Cross-validation details (10-fold Crossvalidation)
Recall
0.9686
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2037
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1949
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1046
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5369
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1290.298
UserCPU time millis
150
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
140
Cross-validation details (10-fold Crossvalidation)