Supervised ML algorithms across studies included support vector machines, tree-based ensembles, generalized linear models, and deep learning architectures. Three studies reported external validation ...

Abstract: Predicting crime rates is a crucial part of public safety, and improving predictive capacities calls for interdisciplinary work. This work uses multi-year datasets from Chicago to ...

Abstract: The major aim of the study is to predict the type of crime that is going to happen based on the crime hotspot detected for the given crime data with engineered spatial features. crime ...

Stroke is one of the leading causes of death and disability worldwide, making early screening and risk prediction crucial. Traditional methods have limitations in handling nonlinear relationships ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Learn how to compare ML models using bootstrap resampling with a hands-on sklearn implementation. Dolly Parton breaks silence on health after sister calls for prayers Couple renovating home told by ...