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Run
23139

Run 23139

Task 2065 (Supervised Classification) primary-tumor Uploaded 24-06-2014 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
0.7251
Per class
F measure
0.3898
Per class
Kappa
0.3419
KB relative information score
114.0234
Mean absolute error
0.0614
Mean prior absolute error
0.0812
Number of instances
339
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3746
Per class
Predictive accuracy
0.4218
Prior entropy
3.7542
Recall
0.4218
Per class
Relative absolute error
0.756
Root mean prior squared error
0.2011
Root mean squared error
0.1939
Root relative squared error
0.9643
SciMark benchmark
948.1777[564.29653665317711011.7905596720842483.6674820550281913.71210817040291767.4217034453668]