A NTUA Diploma Thesis titled “Investigating the influence of mobile phone use on driving behavior with Machine Learning analysis of imbalanced data” was recently presented by Konstantinos-Eirinaios Kaselouris. For classification and regression of mobile phone usage, telematics data from the OSeven telematics company were used as collected from naturalistic driving measurements. Mobile phone use was defined as an indicator of risky behaviour and classification was performed on two levels of driving behaviour (risky and not risky). Variables related to travel speed were found to be the most significant independent variables, while according to the classification evaluation metrics, the most appropriate model was considered to be that of ‘Linear Discriminant Analysis’.