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Emerging patterns (EPs) are itemsets whose supports change significantly
from one dataet to another. Each EP can be very sharp in differentiating
the class membership of a small fraction of instances. By aggregating
the differentiating power of EPs, very high classification accuracy
can be obtained.
|
| dataset |
C4.5 |
CBA |
CAEP |
ave sens |
ave prec |
|---|
| breast-w |
96% |
96% |
98% |
98% |
98% |
| ionosphere |
92% |
92% |
92% |
91% |
92% |
| iris |
95% |
93% |
100% |
100% |
100% |
| mushroom |
- |
- |
99% |
99% |
99% |
| pima |
73% |
73% |
97% |
96% |
95% |
| sonar |
72% |
78% |
90% |
90% |
90% |
| tic-tac-toe |
99% |
100% |
99% |
99% |
99% |
| vehicle |
66% |
69% |
76% |
76% |
76% |
| wine |
92% |
92% |
99% |
99% |
99% |
|