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Run
9735

Run 9735

Task 13 (Supervised Classification) breast-cancer 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
0.5898
Per class
F measure
0.6489
Per class
Kappa
0.1384
KB relative information score
9.7273
Mean absolute error
0.3876
Mean prior absolute error
0.4183
Number of instances
286
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6414
Per class
Predictive accuracy
0.6608
Prior entropy
0.8796
Recall
0.6608
Per class
Relative absolute error
0.9267
Root mean prior squared error
0.457
Root mean squared error
0.4933
Root relative squared error
1.0794
SciMark benchmark
938.5939[562.83979305934711015.5230404536866439.87784953379895912.43998791392861762.2889234168845]