Article describes how in Machine Learning, prediction quality is usually measured using different techniques and evaluation methods. This paper will introduce a simple regularization term to manage the number of over-predicted/under-predicted instances in a regression model.

Article describes how identity theft poses a significant threat to mobile users, yet mobile identity protection is often overlooked in cybersecurity literature. This study adopts a mixed-methods approach and draws on expectancy-value theory to address these gaps and explore the impact of expectations, capabilities, motivational values, technical measures, and awareness on individuals' intentions to achieve mobile identity protection.