Run
923

Run 923

Task 91 (Learning Curve) pendigits Uploaded 08-04-2014 by Jan van Rijn
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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
0.9862 ± 0.0027
Per class
F measure
0.9624 ± 0.0059
Per class
Kappa
0.9581 ± 0.0066
KB relative information score
0.957 ± 0.0062
Mean absolute error
0.0093 ± 0.0012
Mean prior absolute error
0.18 ± 0
Number of instances
109920
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.9624 ± 0.0059
Per class
Predictive accuracy
0.9623 ± 0.0059
Prior entropy
3.3208 ± 0.0002
Recall
0.9623 ± 0.0059
Per class
Relative absolute error
0.0516 ± 0.0067
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.085 ± 0.0066
Root relative squared error
0.2834 ± 0.0221
SciMark benchmark
888.585