Identifying Key Physical and Natural Environmental Correlates of Child Development: An Exploratory Study Using Machine Learning on Data from Pakistan
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-3592-5_33
Reference19 articles.
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3. Bizzego, A., Gabrieli, G., Lim, M., et al.: Predictors of early childhood development: a machine learning approach. In: Parenting and Child Development in Low-and Middle-Income Countries, pp. 210–239. Routledge (2023)
4. Bronfenbrenner, U.: The Ecology of Human Development. Harvard University Press (1979)
5. Chicco, D., Jurman, G.: The advantages of the Matthews correlation coefficient (MCC) over f1 score and accuracy in binary classification evaluation. BMC Genomics 21(1), 1–13 (2020)
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