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Run
6769

Run 6769

Task 43 (Supervised Classification) spambase Uploaded 21-05-2014 by Felicia West
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Flow

weka.OneR(1)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
weka.OneR(1)_B20

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
0.764
Per class
F measure
0.7785
Per class
Kappa
0.5339
KB relative information score
2437.2176
Mean absolute error
0.2202
Mean prior absolute error
0.4776
Number of instances
4601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7781
Per class
Predictive accuracy
0.7798
Prior entropy
0.9674
Recall
0.7798
Per class
Relative absolute error
0.461
Root mean prior squared error
0.4886
Root mean squared error
0.4692
Root relative squared error
0.9603
SciMark benchmark
910.9342[568.5269658043831015.5230404536866480.85168147774846911.80521739130441577.9639952350265]