Run
680

Run 680

Task 73 (Learning Curve) mfeat-fourier Uploaded 07-04-2014 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.JRip(1)William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
weka.JRip(1)_F3
weka.JRip(1)_N2.0
weka.JRip(1)_O2
weka.JRip(1)_S1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9262 ± 0.0156
Per class
F measure
0.7296 ± 0.0305
Per class
Kappa
0.7002 ± 0.0343
KB relative information score
0.7181 ± 0.0287
Mean absolute error
0.0644 ± 0.0052
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.7304 ± 0.0287
Per class
Predictive accuracy
0.7302 ± 0.0309
Prior entropy
3.3219
Recall
0.7302 ± 0.0309
Per class
Relative absolute error
0.3576 ± 0.0289
Root mean prior squared error
0.3
Root mean squared error
0.2031 ± 0.0111
Root relative squared error
0.677 ± 0.0369
SciMark benchmark
908.4818