Table 2:
Regression | Machine Learning | ||||||
---|---|---|---|---|---|---|---|
LR | L1 | L2 | L1-L2 | RF | NN | NB | |
Discrimination | |||||||
AUC | 0.847 [0.846, 0.847] |
0.844 [0.844, 0.844] |
0.842 [0.841, 0.842] |
0.844 [0.844, 0.844] |
0.834 [0.833, 0.834] |
0.794 [0.794, 0.795] |
0.768 [0.768, 0.769] |
Calibration | |||||||
O:E ratio | 0.998 [0.996, 1.001] |
0.998 [0.996, 1.001] |
0.998 [0.996, 1.001] |
0.998 [0.996, 1.001] |
0.929 [0.927, 0.931] |
0.997 [0.993, 1.00] |
0.339 [0.338, 0.340] |
Cox intercept | −0.048 [−0.055, −0.042] |
0.088 [0.080, 0.096] |
0.215 [0.207, 0.223] |
0.096 [0.088, 0.105] |
0.074 [0.065, 0.082] |
−0.122 [−0.133, −0.112] |
−2.548 [−2.551, −2.546] |
Cox slope | 0.980 [0.977, 0.982] |
1.039 [1.036, 1.042] |
1.093 [1.090, 1.096] |
1.043 [1.040, 1.046] |
1.072 [1.069, 1.076] |
0.951 [0.947, 0.955] |
0.113 [0.113, 0.114] |
ECI | 0.013 [0.013, 0.014] |
0.010 [0.010, 0.010] |
0.011 [0.010, 0.011] |
0.010 [0.010, 0.010] |
0.034 [0.033, 0.034] |
0.008 [0.007, 0.008] |
7.783 [7.758, 7.808] |