Run
747

Run 747

Task 87 (Learning Curve) optdigits 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
0.9643 ± 0.0065
Per class
F measure
0.9087 ± 0.0122
Per class
Kappa
0.8982 ± 0.0137
KB relative information score
0.8961 ± 0.0125
Mean absolute error
0.0223 ± 0.0024
Mean prior absolute error
0.18 ± 0
Number of instances
56200
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.9093 ± 0.0118
Per class
Predictive accuracy
0.9084 ± 0.0123
Prior entropy
3.3218 ± 0.0001
Recall
0.9084 ± 0.0123
Per class
Relative absolute error
0.1237 ± 0.0134
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.1305 ± 0.0087
Root relative squared error
0.4351 ± 0.0291
SciMark benchmark
905.2368