Run
54263

Run 54263

Task 1727 (Learning Curve) optdigits Uploaded 08-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.OneR(3)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
weka.OneR(3)_B6

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.

21 Evaluation measures

Area under ROC curve
0.5928 ± 0.0076
Per class
Build CPU time
0.0074
Build memory
1309615667.4857
F measure
0.2212
Per class
Kappa
0.1855 ± 0.0152
KB relative information score
0.2333 ± 0.0143
Mean absolute error
0.1466 ± 0.0028
Mean prior absolute error
0.18 ± 0
Number of instances
5620
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.2146
Per class
Predictive accuracy
0.2671 ± 0.0138
Prior entropy
3.3218 ± 0.0001
Recall
0.2671 ± 0.0138
Per class
Relative absolute error
0.8144 ± 0.0153
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.3829 ± 0.0036
Root relative squared error
1.2762 ± 0.012
SciMark benchmark
1615.5755