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Table 6 Comparison between existing models and our proposed methodology

From: Improving machine learning models through explainable AI for predicting the level of dietary diversity among Ethiopian preschool children

No

Paper

Design of Study

Method Used

Explainable AI Approach

1.

[7]

Community-based cross-sectional study

Multivariable logistic regression model

No ML Approach

No

2.

[26]

Institutional-based cross-sectional study

Multivariate logistic regression

No ML Approach

No

3.

[28]

Community-based cross-sectional study

Multivariable logistic regression model

No ML Approach

No

4.

[29]

Experimental study

ML approach

No

5.

[30]

A community-based cross-sectional study

A binary logistic regression was fitted to identify significant factors associated with MDD

No ML Approach

No

6.

[31]

Experimental design

Multilevel logistic regression analysis

No ML Approach

No

7.

Our proposed model

Experimental design

Ensemble ML approach

LIME, ELI5