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Run
7416

Run 7416

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

weka.PART(1)Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
weka.PART(1)_C0.25
weka.PART(1)_M2
weka.PART(1)_Q1

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
0.8645
Per class
F measure
0.8078
Per class
Kappa
0.58
KB relative information score
129.5443
Mean absolute error
0.1006
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
0.8073
Per class
Predictive accuracy
0.8095
Prior entropy
1.0314
Recall
0.8095
Per class
Relative absolute error
0.5388
Root mean prior squared error
0.3037
Root mean squared error
0.237
Root relative squared error
0.7804
SciMark benchmark
941.9597[556.1991982197794992.7640510810805484.10363182779514906.44530435465071770.2864466358]