Table 5 Simulations results: class identification accuracy, calculated as the rate of correctly predicted class memberships, according to the number of individuals, n, and to the censoring rate, τ. The difference between the rates of the high and the low separation settings is provided
n | τ | High separation | Low separation | Difference |
|---|---|---|---|---|
100 | 5 | 0.9760 | 0.9418 | -0.0342 |
10 | 0.9767 | 0.9347 | -0.0420 | |
15 | 0.9748 | 0.9248 | -0.0500 | |
25 | 0.9689 | 0.9039 | -0.0650 | |
50 | 0.9556 | 0.8335 | -0.1221 | |
500 | 5 | 0.9790 | 0.9440 | -0.0350 |
10 | 0.9778 | 0.9376 | -0.0402 | |
15 | 0.9764 | 0.9321 | -0.0443 | |
25 | 0.9720 | 0.9148 | -0.0572 | |
50 | 0.9586 | 0.8458 | -0.1128 | |
1000 | 5 | 0.9814 | 0.9477 | -0.0337 |
10 | 0.9798 | 0.9419 | -0.0379 | |
15 | 0.9782 | 0.9354 | -0.0428 | |
25 | 0.9745 | 0.9186 | -0.0559 | |
50 | 0.9605 | 0.8488 | -0.1017 | |
5000 | 5 | 0.9817 | 0.9480 | -0.0337 |
10 | 0.9801 | 0.9417 | -0.0384 | |
15 | 0.9784 | 0.9348 | -0.0436 | |
25 | 0.9748 | 0.9189 | -0.0559 | |
50 | 0.9618 | 0.8504 | -0.1114 |