DEVELOPMENT... OpenML
Run
820

Run 820

Task 87 (Learning Curve) optdigits Uploaded 08-04-2014 by Mandy
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Flow

weka.OneR(1)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
weka.OneR(1)_B6

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
0.5927 ± 0.0072
Per class
F measure
0.2226
Per class
Kappa
0.1854 ± 0.0145
KB relative information score
0.2332 ± 0.0135
Mean absolute error
0.1466 ± 0.0026
Mean prior absolute error
0.18 ± 0
Number of instances
56200
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.2207
Per class
Predictive accuracy
0.267 ± 0.0131
Prior entropy
3.3218 ± 0.0001
Recall
0.267 ± 0.0131
Per class
Relative absolute error
0.8144 ± 0.0145
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.3829 ± 0.0034
Root relative squared error
1.2763 ± 0.0114
SciMark benchmark
892.5652