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The marketing team at an Enterprise SaaS company has determined that the cost of customer churn is much greater than the cost of customer retention for its existing customer base. To address this issue, the team worked on a classification model to predict if a customer is likely to churn and boiled it down to two model variants. Model A had 92% accuracy with 40 False Negatives (FN) and 100 False Positives (FP) whereas model B also had 92% accuracy with 100 FN and 40 FP. Which of the two models is more cost effective for the company?