Run
103571

Run 103571

Task 3707 (Supervised Classification) analcatdata_runshoes Uploaded 08-12-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.JRip(2)William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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.

21 Evaluation measures

Area under ROC curve
0.7882
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0016
Cross-validation details (10-fold Crossvalidation)
Build memory
127530824
Cross-validation details (10-fold Crossvalidation)
F measure
0.8181
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6259
Cross-validation details (10-fold Crossvalidation)
KB relative information score
30.0293
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2507
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4806
Cross-validation details (10-fold Crossvalidation)
Number of instances
60
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8236
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8167
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9728
Cross-validation details (10-fold Crossvalidation)
Recall
0.8167
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5216
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4899
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3854
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7867
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
938.8276