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Table 4 The experimental results of dataset BS

From: Building an associative classifier with multiple minimum supports

minsup	\(\sigma\)
minsup	1	0.9	0.8	0.7	0.6	0.5	0.4	0.3	0.2	0.1
Maximum likelihood method
0.02	0.698	0.701	0.698	0.692	0.681	0.675	0.690	0.705	0.733	0.748
0.03	0.698	0.701	0.698	0.691	0.681	0.678	0.694	0.710	0.742	0.748
0.04	0.711	0.713	0.710	0.703	0.689	0.681	0.695	0.717	0.738	0.739
Laplace method
0.02	0.434	0.436	0.443	0.445	0.446	0.434	0.432	0.405	0.356	0.296
0.03	0.441	0.443	0.449	0.447	0.449	0.444	0.446	0.413	0.367	0.240
0.04	0.593	0.593	0.587	0.576	0.549	0.562	0.558	0.550	0.538	0.507
Scoring method
0.02	0.696	0.697	0.699	0.698	0.699	0.691	0.686	0.686	0.678	0.705
0.03	0.691	0.692	0.696	0.697	0.697	0.689	0.680	0.676	0.672	0.708
0.04	0.674	0.674	0.676	0.676	0.675	0.663	0.653	0.646	0.656	0.702
Max χ² method
0.02	0.269	0.266	0.270	0.271	0.289	0.314	0.327	0.364	0.359	0.369
0.03	0.270	0.267	0.271	0.272	0.290	0.314	0.327	0.364	0.361	0.372
0.04	0.266	0.262	0.267	0.271	0.291	0.323	0.334	0.371	0.380	0.384

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