Run
982

Run 982

Task 96 (Learning Curve) diabetes Uploaded 08-04-2014 by Jan van Rijn
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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
0.6519 ± 0.0563
Per class
F measure
0.7021 ± 0.0524
Per class
Kappa
0.329 ± 0.1178
KB relative information score
0.3549 ± 0.1105
Mean absolute error
0.2816 ± 0.0482
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
7680
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.7072 ± 0.0572
Per class
Predictive accuracy
0.7184 ± 0.0482
Prior entropy
0.9331 ± 0.0044
Recall
0.7184 ± 0.0482
Per class
Relative absolute error
0.6197 ± 0.1061
Root mean prior squared error
0.4766 ± 0.0015
Root mean squared error
0.5307 ± 0.0454
Root relative squared error
1.1134 ± 0.0954
SciMark benchmark
881.0074