💡 A. The percentage of cases flagged by the model and confirmed as positives: This is the best criterion for assessing the model's success because it measures its accuracy and effectiveness in identifying actual anomalies and fraud cases. A high confirmation rate indicates that the model is reliable and minimizes false positives. B. The development and maintenance costs associated with the model: While cost efficiency is important, it does not directly assess the model's ability to detect fraud or anomalies. A low-cost model that performs poorly is not successful. C. The feedback of auditors involved with developing the model: While auditor feedback is valuable, it is subjective and does not provide a concrete measure of the model’s effectiveness. The model should be assessed based on objective performance indicators. D. The number of criminal investigations initiated based on the outcomes of the model: This is not the best measure because investigations depend on multiple factors, including legal thresholds and company policies. A successful model should identify actual fraud cases, regardless of whether they lead to formal investigations.