Hope you all are doing well.
I have graphical results of K-fold cross-validation checks and I am wondering how to interpret those results precisely. In fact, the K-fold cross-validation checks were used to compare models performance of counts data, including Negative Binomial Regression I (NB1), Hurdle-NB1, Hurdle-NB2, and Zero-inflated NB2. Followings are author's interpretations "Figure 8.7 shows a comparison of the NB models for the number of office-based visits. Although the NB2 model is the worse performer for each replicate, its hurdle counterpart performs quite well - either the best or close to the best-performing model" By Deb, Norton, and Manning.
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Note: NB1 is the first bar, Hurdle-NB2 is the second, Hurdle-NB1 is the third, and Zi-NB2 is the fourth. The figure is taken from Health Econometrics Using Stata Book written by Deb, Norton, and Manning.
Results of log likelihood, AIC, and BIC are presented below.
Code:
K LogLik AIC BIC Poisson 37 -10682.042 21438.085 21729.36 NB2 38 -9995.2177 20066.435 20365.583 NB1 38 -10020.414 20116.828 20415.976 Hurdle_Poi~n 74 -10118.265 20384.531 20967.082 Hurdle_NB2 75 -9947.3831 20044.766 20635.189 Hurdle_NB1 75 -10057.127 20264.254 20854.677 ZIP 74 -10113.589 20375.177 20957.728 ZINB2 75 -9937.9712 20025.942 20616.365
Thank you and have a nice wk!
DL
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