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Run
8779

Run 8779

Task 54 (Supervised Classification) hepatitis 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
0.7449
Per class
F measure
0.8254
Per class
Kappa
0.436
KB relative information score
48.1609
Mean absolute error
0.2035
Mean prior absolute error
0.3299
Number of instances
155
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8246
Per class
Predictive accuracy
0.8387
Prior entropy
0.7418
Recall
0.8387
Per class
Relative absolute error
0.6169
Root mean prior squared error
0.4048
Root mean squared error
0.3735
Root relative squared error
0.9226
SciMark benchmark
947.1623[556.55411773104331015.2555353338006483.88543266528814912.12253004766961767.9939646936223]