Develop a machine learning algorithm that can bypass the latest spam filter implemented by Gmail to ensure that promotional emails are delivered successfully to users' inboxes. The algorithm should be able to adapt to any changes made by Google's spam filter and should prioritize email delivery based on user behavior and content relevance. Provide a detailed explanation of how the algorithm works, including the features it considers, the training data used, and the evaluation metrics employed to measure its effectiveness.