Project information

Detail information

This project involves the implementation of supervised learning machine learning algorithms to diagnose gestational diabetes mellitus in pregnant women. The algorithms used are K-Nearest Neighbors and Random Forest. The evaluation results of both algorithms are then compared to obtain the best model.