Table 2:

Ranked Algorithm Performance

Algorithm	CV R2	CV MSE	RE
Super Learner	0.405	0.149	1.00
GAM: C123	0.396	0.151	0.98
Lasso: C123	0.395	0.151	0.98
Ridge: C123	0.395	0.151	0.98
Elastic Net: C123	0.395	0.151	0.98
Random Forest: C123	0.393	0.152	0.98
GLM: C123	0.392	0.152	0.98
SVM: C123	0.369	0.158	0.94
Random Forest: C12	0.300	0.175	0.85
GAM: C12	0.299	0.175	0.85
Ridge: C12	0.298	0.175	0.85
Lasso: C12	0.298	0.175	0.85
Elastic Net: C12	0.298	0.175	0.85
GLM: C12	0.297	0.176	0.85
SVM: C12	0.259	0.185	0.80
Neural Net: C1	0.220	0.195	0.76
GLM: C1	0.219	0.195	0.76
GAM: C1	0.219	0.195	0.76
Ridge: C1	0.219	0.195	0.76
Elastic Net: C1	0.219	0.195	0.76
Lasso: C1	0.219	0.195	0.76
SVM: C1	0.082	0.229	0.65
Neural Net: C12	0.000	0.250	0.59
Neural Net: C123	0.000	0.250	0.59
Random Forest: C1	−0.035	0.259	0.57
Clinical Tree	−1.006	0.501	0.30