Table 5 Comparative evaluation of parametric and machine learning models for survival prediction using AIC and BIC.

From: A comparative analysis of parametric survival models and machine learning methods in breast cancer prognosis

Model

Parametric

 

Machine Learning

AIC

BIC

Model

AIC

BIC

Weibull

99012.44

99068.77

Logistic Regression

3445.55

10204.18

Exponential

17445.14

17495.84

SVM

434782.21

1,310,526

Gaussian

11983.49

12039.82

Gradient Boosting

16,318

47272.56

Logistic

11113.49

11169.82

Neural Network

20151.03

60574.65

Log-Logistic

12012.69

12069.03

Random Forest

568.70

1274.49

Log-Gaussian

13974.82

14031.16

   
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