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Run
7832

Run 7832

Task 48 (Supervised Classification) heart-c 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)_B5

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
0.7327
Per class
F measure
0.7356
Per class
Kappa
0.4665
KB relative information score
134.0206
Mean absolute error
0.1056
Mean prior absolute error
0.2004
Number of instances
303
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7355
Per class
Predictive accuracy
0.736
Prior entropy
1.0792
Recall
0.736
Per class
Relative absolute error
0.527
Root mean prior squared error
0.315
Root mean squared error
0.325
Root relative squared error
1.0317
SciMark benchmark
919.3444[569.8270428124948889.2270229875808480.2065783455664909.27509318503251748.186045654969]