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Table 1 ML algorithm performance comparison

From: Machine learning application for development of a data-driven predictive model able to investigate quality of life scores in a rare disease

Model

RAE

R2

Linear Regression

0.34

0.87

Neural networks

0.28

0.91

k-NN

0.25

0.94

  1. Comparison based on RAE and R2 score among different ML models. K-NN resulted to have the lowest RAE, thus the best performance
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Orphanet Journal of Rare Diseases

ISSN: 1750-1172