A Machine Learning Specialist is training a binary aws video
ml-specialty video for a Machine Learning Specialist is training a binary classification model for email spam filtering. During the model evaluation, the
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A Machine Learning Specialist is training a binary classification model for email spam filtering. During the model evaluation, the Specialist noticed that the number of predicted spam is significantly smaller than the number of genuine emails. The model did not generalize well when tested on actual data. This is not acceptable and does not meet the business requirements. How can the Specialist change the model output in the easiest way to meet the business goal?