Table 4.
Imaging site prediction results with FD simulated data.
k | n | External test set | Leaked internal test set | Not leaked internal test set |
---|---|---|---|---|
3 | 25 | 0.358 (0.078) | 0.288 (0.048)* | 0.369 (0.046) |
3 | 50 | 0.324 (0.060) | 0.270 (0.045)* | 0.333 (0.045) |
3 | 100 | 0.352 (0.047) | 0.296 (0.029)* | 0.347 (0.027) |
3 | 250 | 0.328 (0.021) | 0.292 (0.019)* | 0.325 (0.017) |
10 | 25 | 0.084 (0.026) | 0.049 (0.014)* | 0.089 (0.017) |
10 | 50 | 0.104 (0.017) | 0.068 (0.011)* | 0.105 (0.013) |
10 | 100 | 0.098 (0.013) | 0.072 (0.008)* | 0.097 (0.009) |
10 | 250 | 0.097 (0.008) | 0.084 (0.005)* | 0.100 (0.005) |
36 | 25 | 0.024 (0.007) | 0.010 (0.002)* | 0.026 (0.004) |
36 | 50 | 0.028 (0.005) | 0.013 (0.002)* | 0.026 (0.002)^ |
36 | 100 | 0.028 (0.003) | 0.017 (0.002)* | 0.028 (0.002) |
36 | 250 | 0.028 (0.003) | 0.021 (0.001)* | 0.028 (0.001) |
Average balanced accuracy (standard deviation) obtained in the external and internal test sets.
k is the number of single-center datasets, each one containing n participants. FD: fractal dimension.
*One-tailed paired t-test Bonferroni adjusted p-value < 10−10 for the comparison with the external test set average balanced accuracy.
^One-tailed t-test Bonferroni adjusted p-value = 0.003 for the comparison with the external test set average balanced accuracy.