Classification Model
death
REGRESSIONS
We chose the following machine learning–based classifiers for supervised learning: logistic regressions, support vector machine, decision trees, random forests, k-nearest neighbor (KNN), adaptive boosting (AdaBoost), and extreme gradient boosting (XGBoost). We proposed a multiperceptron deep neural network to compare the performance of deep learning models with that of machine learning models on death prediction. The models were implemented using the Python library 