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Run
13289

Run 13289

Task 57 (Supervised Classification) ionosphere 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
0.9128
Per class
F measure
0.9015
Per class
Kappa
0.7835
KB relative information score
266.1821
Mean absolute error
0.1113
Mean prior absolute error
0.4604
Number of instances
351
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9041
Per class
Predictive accuracy
0.9031
Prior entropy
0.9425
Recall
0.9031
Per class
Relative absolute error
0.2417
Root mean prior squared error
0.4797
Root mean squared error
0.3015
Root relative squared error
0.6286
SciMark benchmark
923.5495[569.2691142839304890.871532706879483.449727694041909.59057174132591764.5664888040972]