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Table 3 Description of Bayes models, good-ness of fit and importance rate

From: Impact of COVID-19 Disease Control Committee (CDCC) policies on prevention of the disease using Bayes network inference in west of Iran

Rank

Model

Variable in model

FV

RMSE

1

Seventh

Variable 1: vaccination

0.264

0.193

Variable 2: limiting gatherings

0.089

Variable 3: observing social distancing

0.059

Variable 4: wearing a mask

0.055

Variable 5: job closure

0.037

Variable 6: travel restriction

0.036

Variable 7: personal hygiene

0.015

2

Sixth

Variable 1: vaccination

0.431

0.492

Variable 2: wearing a mask

0.204

Variable 3: job closure

0.054

Variable 4: travel restriction

0.052

Variable 5: personal hygiene

0.021

3

Fourth

Variable 1: vaccination

0.309

 

Variable 2: limiting gatherings

0.136

Variable 3: observing social distancing

0.075

Variable 4: wearing a mask

0.07

Variable 5: personal hygiene

0.022

4

Fifth

Variable 1: limiting gatherings

0.148

0.760

Variable 2: travel restriction

0.119

Variable 3: job closure

0.068

Variable 4: observing social distancing

0.062

5

Third

Variable 1: travel restriction

0.147

0.980

Variable 2: job closure

0.075

6

First

Variable 1: limiting gatherings

0.290

2.389

Variable 2: observing social distancing

0.171

7

Second

Variable 1: vaccination

0.205

2.820

Variable 2: personal hygiene

0.201

Variable 3: wearing a mask

0.118