Run
176937

Run 176937

Task 4426 (Supervised Classification) bolts Uploaded 22-02-2015 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(3)Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
weka.PART(3)_C0.25
weka.PART(3)_M2
weka.PART(3)_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
0.8751
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8907
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.7614
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
292.7717
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1184
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4571
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
400
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8921
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.89
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9403
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.89
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.259
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.477
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3315
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.6949
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1330.0803