DEVELOPMENT... OpenML
Run
5805

Run 5805

Task 1727 (Learning Curve) optdigits Uploaded 06-05-2014 by Mandy
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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
0.9646 ± 0.0046
Per class
F measure
0.9065 ± 0.007
Per class
Kappa
0.8956 ± 0.0077
KB relative information score
0.895 ± 0.007
Mean absolute error
0.0224 ± 0.0013
Mean prior absolute error
0.18 ± 0
Number of instances
5620
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.9072 ± 0.007
Per class
Predictive accuracy
0.906 ± 0.0069
Prior entropy
3.3218 ± 0.0001
Recall
0.906 ± 0.0069
Per class
Relative absolute error
0.1245 ± 0.0075
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.132 ± 0.0048
Root relative squared error
0.4399 ± 0.0159
SciMark benchmark
868.6457