Table 3.
Classification rules of neuroblastoma patients including NB-hypo
| Rule IDa | NB-hypo | INSS Stage | MYCN Status | Age at diagnosis (Years) | Predicted Outcome | Covering b (%) | ErroreC (%) | Fisher pvalued | Stabilitye | ||
| 3.1 | IF ( | High | {3,4} | _ | ≥1 | ) THEN | Poor | 64 | 3 | <0.001 | 0.94 |
| 3.2 | IF ( | High | {2,3,4} | Normal | ≥1 | ) THEN | Poor | 25 | 2.2 | <0.001 | 0.8 |
| 3.3 | IF ( | _ | {1, 3, 4, 4s} | Amplified | ≥1 | ) THEN | Poor | 50 | 1.5 | <0.001 | 0.5 |
| 3.4 | IF ( | _ | _ | _ | <1 | ) THEN | Good | 65 | 0 | <0.001 | 0.94 |
| 3.5 | IF ( | Low | _ | Normal | _ | ) THEN | Good | 89 | 23 | <0.001 | 0.64 |
| 3.6 | IF ( | _ | {1, 4s} | _ | _ | ) THEN | Good | 50 | 0 | <0.001 | 0.9 |
| 3.7 | IF ( | _ | {1, 2, 4s} | Amplified | _ | ) THEN | Good | 1.5 | 0 | >0.5 | 0.8 |
a The Rule ID is composed by the table number followed by a dot and the rule number.
b The covering is the fraction of examples in the training set that verify the rule and belong to the target class.
C The error is the fraction of examples in the training set that satisfy the rule and do not belong to the target class.
d Fisher p-value quantifies the statistical significance of the rule.
e Stability measures the fraction of the occurrences of a given rule in a 5 rounds of 10 fold cross validations.