MATERNAL RISK LEVEL PREDICTION USING ENSEMBLE MODEL

The Random Forest Algorithm provides the highest accuracy of 96% for training data, when it comes to classification and prediction of the risk level, according to a comparison of certain groups of machine learning algorithms.