From: Building an associative classifier with multiple minimum supports
minsup | \(\sigma\) | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
1 | 0.9 | 0.8 | 0.7 | 0.6 | 0.5 | 0.4 | 0.3 | 0.2 | 0.1 | |
Maximum likelihood method | ||||||||||
 0.02 | 0.759 | 0.759 | 0.759 | 0.759 | 0.757 | 0.758 | 0.758 | 0.758 | 0.758 | 0.759 |
 0.03 | 0.759 | 0.759 | 0.759 | 0.759 | 0.757 | 0.758 | 0.758 | 0.758 | 0.758 | 0.758 |
 0.04 | 0.759 | 0.759 | 0.759 | 0.759 | 0.757 | 0.758 | 0.758 | 0.758 | 0.758 | 0.758 |
Laplace method | ||||||||||
 0.02 | 0.571 | 0.549 | 0.526 | 0.511 | 0.523 | 0.538 | 0.548 | 0.494 | 0.504 | 0.472 |
 0.03 | 0.571 | 0.549 | 0.526 | 0.511 | 0.523 | 0.538 | 0.548 | 0.494 | 0.504 | 0.519 |
 0.04 | 0.571 | 0.549 | 0.526 | 0.511 | 0.523 | 0.538 | 0.548 | 0.494 | 0.504 | 0.516 |
Scoring method | ||||||||||
 0.02 | 0.762 | 0.762 | 0.762 | 0.762 | 0.762 | 0.762 | 0.762 | 0.762 | 0.762 | 0.762 |
 0.03 | 0.762 | 0.762 | 0.762 | 0.762 | 0.762 | 0.762 | 0.762 | 0.762 | 0.762 | 0.762 |
 0.04 | 0.762 | 0.762 | 0.762 | 0.762 | 0.762 | 0.762 | 0.762 | 0.762 | 0.762 | 0.762 |
Max χ2 method | ||||||||||
 0.02 | 0.257 | 0.342 | 0.640 | 0.679 | 0.717 | 0.722 | 0.724 | 0.727 | 0.726 | 0.730 |
 0.03 | 0.257 | 0.342 | 0.640 | 0.679 | 0.717 | 0.722 | 0.724 | 0.727 | 0.726 | 0.726 |
 0.04 | 0.257 | 0.342 | 0.640 | 0.679 | 0.717 | 0.722 | 0.724 | 0.727 | 0.726 | 0.726 |