Table 2.
Classification rules.
| Rule IDa |
Cond 1 | Cond 2 | Predicted Outcome |
Coveringb (%) |
Errorc (%) |
Fisher pvalued |
||
|---|---|---|---|---|---|---|---|---|
| 1 | IF( | 217356_s_at ≤ 721 | 226452_at < 326 | )THEN | Good | 80 | 3.5 | <0.001 |
| 2 | IF ( | 206686_at ≤ 26 | 226452_at ≤326 | )THEN | Good | 70 | 14 | <0.001 |
| 3 | IF ( | 200738_s_at ≤ 1846 | 230630_at>23 | )THEN | Good | 62 | 10 | <0.001 |
| 4 | IF( | 209446_s_at ≤ 57 | 223172_s_at <73 | )THEN | Good | 60 | 10 | <0.001 |
| 5 | IF( | 202022_at > 131 | 223193_x_at < 324 | )THEN | Good | 60 | 14 | <0.001 |
| 6 | IF( | 224314_s_at ≤ 29 | 236180_at <13 | )THEN | Good | 48 | 7.1 | <0.001 |
| 7 | IF( | 217356_s_at > 721 | )THEN | Poor | 92 | 17 | <0.001 | |
| 8 | IF( | 223172_s_at >73 | 226452_at> 326 | )THEN | Poor | 60 | 8.6 | <0.001 |
| 9 | IF( | 206686_at > 26 | 223172_s_at>73 | )THEN | Poor | 57 | 7.4 | <0.001 |
a Cond 1 and Cond 2 indicate the conditions into the premises of the rules.
b The covering accounts for the fraction of patients that verify the rule and belong to the target outcome.
c The error accounts for the fraction of patients that satisfy the rule and do not belong to the target outcome.
d Fisher p-value quantifies the statistical significance of the rule on the basis of the number of patients correctly and incorrectly classified by a rule and the number of patients of the dataset belonging to each specific outcome.