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The data science team at an Email Service Provider has determined that the long term cost of marking a bona fide email as spam is much greater than the cost of marking a spam email as bona fide. To address this issue, the team worked on a classification model to predict if an email is spam and boiled it down to two model variants. Model A had 95% accuracy with 40 False Negatives (FN) and 100 False Positives (FP) whereas model B also had 95% accuracy with 100 FN and 40 FP. Which of the two models is more cost effective for the company?