Run
238689

Run 238689

Task 4546 (Supervised Classification) mfeat-factors Uploaded 02-03-2015 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(4)William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
weka.JRip(4)_F3
weka.JRip(4)_N2.0
weka.JRip(4)_O2
weka.JRip(4)_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.

22 Evaluation measures

Area under ROC curve
0.969
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9882
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.9346
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
18120.6098
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0132
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1803
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
20000
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
0.9882
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9883
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.4703
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9883
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.0734
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.1061
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.3536
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1255.8862
UserCPU time millis
840
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
840
Cross-validation details (10 times 10-fold Crossvalidation)