provide a response to this discussion post, include citations from most recent year article Hello Larita, I really enjoyed reading your post as you thoroughly outlined the concepts related to forecasting and the Receiver Operating Characteristic (ROC) curve. To add more points to your discussion, It is important to highlight the importance of decision making and modeling assessment. The 3x3 and 2x2 forecasting models are essential methods that investment analysts may use for strategic planning and decision making across different industries such as; businesses, healthcare, and for environmental studies. The 3x3 is a type of forecasting model that offers companies a complex structure for evaluating risk and opportunities by classifying potential future outcomes into different levels, in most cases, medium, low, and high. This method helps investors to develop strong risk mitigation strategies for their investments. The 2x2 forecasting model is effective for making quick decisions, especially with limited resources, through the breakdown of its scenarios. It allows companies to concentrate on operating plans with high impact while allowing for flexibility for less important plans. The ROC Curve is a vital tool for assessing classification algorithms, for the use of machine learning and other diagnostics type of analysis. References Kelleher, J. & McMahon, R. (2022). Strategic foresight in organizational risk management: Insights from the 3x3 forecasting model. Journal of Risk A