OpenML
1879

Run 1879

Task 65 (Learning Curve) arrhythmia Uploaded 23-04-2014 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.

17 Evaluation measures

Area under ROC curve
0.582 ± 0.033
Per class
Kappa
0.2052 ± 0.0732
KB relative information score
0.2928 ± 0.0462
Mean absolute error
0.0509 ± 0.004
Mean prior absolute error
0.0855 ± 0.0007
Number of instances
4520
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Predictive accuracy
0.5929 ± 0.032
Prior entropy
2.4124 ± 0.056
Recall
0.5929 ± 0.032
Per class
Relative absolute error
0.5949 ± 0.0447
Root mean prior squared error
0.2055 ± 0.0018
Root mean squared error
0.2256 ± 0.0088
Root relative squared error
1.0977 ± 0.0394
SciMark benchmark
827.8375