2. **What are the common vulnerabilities and threats that contribute to cybersecurity risks, and how do these evolve as technology and cyberattack methods advance?
**How can organizations assess and prioritize their cybersecurity risks in order to effectively allocate resources for risk mitigation?
3. **How can the use of performance metrics like accuracy be misleading in datasets with class imbalances, and what alternative metrics can be utilized to provide a more balanced evaluation?
2. **What are the differences between precision, recall, and F1-score, and in what scenarios might each be more useful in assessing model performance?
**How do you choose the most appropriate performance metrics for evaluating the effectiveness of a machine learning model?
What role do comprehensive impact assessments play in policy development, and how can they be used to anticipate and mitigate potential negative outcomes?
How can policymakers ensure that evidence and data are effectively integrated into policy development to enhance decision-making and outcomes?
What are the key stages involved in the policy development process, and how can stakeholders be effectively engaged at each stage?
These questions can serve as a starting point for exploring the complex nature of financial risk and how it affects businesses and economies.?
3. **What role do external factors, such as economic downturns, regulatory changes, and geopolitical events, play in influencing the level of financial risk faced by organizations?