E-Clinical (N = 284) First Model |
Random Forest |
0.608[95% CI = 0.598–0.618] |
0.052 [95% CI = 0.028–0.075] |
0.586 |
−0.022 |
0.61 |
0.33 |
0.91 |
0.07 |
Mtry = 2 |
1 |
E-Clinical (N = 284) Second Model |
Generalised Linear model |
0.574 [95% CI = 0.561–0.587] |
0.056[95% CI = 0.028–0.083] |
0.600 |
0.132 |
0.66 |
0.48 |
0.72 |
0.41 |
Alpha = 0.1, lambda = 0.019 |
(1) |
A-Clinical, genetic, Expression (N = 108) |
K-Nearest Neighbours (KNN) |
0.591 [95% CI = 0.556–0.625] |
0.096 [95% CI = 0.022–0.170] |
0.577 |
0.077 |
0.60 |
0.50 |
0.80 |
0.27 |
K = 9 |
= 2 |
B-Clinical, genetic (N = 108) |
KNN |
0.591 [95% CI = 0.556–0.625] |
0.096 [95% CI = 0.022–0.170] |
0.577 |
0.077 |
0.60 |
0.50 |
0.80 |
0.27 |
K = 9 |
= 2 |
D-Clinical, Expression (N = 108) |
KNN |
0.591 [95% CI = 0.556–0.625] |
0.096 [95% CI = 0.022–0.170] |
0.577 |
0.077 |
0.60 |
0.50 |
0.80 |
0.27 |
K = 9 |
= 2 |
C-Clinical N = 108 |
KNN |
0.591 [95% CI = 0.556–0.625] |
0.096 [95% CI = 0.022–0.170] |
0.577 |
0.077 |
0.60 |
0.50 |
0.80 |
0.27 |
K = 9 |
= 2 |