DEVELOPMENT... OpenML
Run
159000

Run 159000

Task 1727 (Learning Curve) optdigits Uploaded 12-02-2015 by Jason
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  • study_2 study_37 weka weka_3.7.12
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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
0.9646 ± 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_75, amd64, Linux, 3.16.0-29-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
646.4525
UserCPU time millis
13870
UserCPU time millis testing
20
UserCPU time millis training
13850