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Table 4 Comparative evaluation of machine learning and deep neural network models for determining age (continuous outcome)

From: GADNN: a revolutionary hybrid deep learning neural network for age and sex determination utilizing cone beam computed tomography images of maxillary and frontal sinuses

Synthesized

Model

RMSE

R2

Without Genetic algorithm

Multi-layer Perceptron

8.919641

0.03

Logistic Regression

8.672946

0.01

Random Forest

9.697422

0.09

Deep Learning

7.776246

0.669

With Genetic algorithm

Multi-layer Perceptron

8.13941

0.06

Logistic Regression

7.28011

0.03

Random Forest

10.23328

0.11

GADNN*

4.623851

0.92

  1. *Genetic algorithm based deep neural network model
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BMC Medical Research Methodology

ISSN: 1471-2288

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