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Your data science team is working on multiple machine learning models and needs to conduct rapid experimentation with various features, model architectures, and hyperparameters. They need a system that can automatically track the accuracy metrics of these experiments over time and provide an API for easy querying and analysis of the results. What should they use to track and report their experiments while minimizing manual effort?