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Run
11860

Run 11860

Task 50 (Supervised Classification) heart-h Uploaded 22-05-2014 by Felicia West
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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)_B10

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
0.7676
Per class
F measure
0.7981
Per class
Kappa
0.5557
KB relative information score
154.0219
Mean absolute error
0.0789
Mean prior absolute error
0.1867
Number of instances
294
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8001
Per class
Predictive accuracy
0.8027
Prior entropy
1.0314
Recall
0.8027
Per class
Relative absolute error
0.4226
Root mean prior squared error
0.3037
Root mean squared error
0.2809
Root relative squared error
0.9249
SciMark benchmark
948.4188[566.4958240211141015.7907504114269483.6674820550281914.98778054938791761.152276377127]