MIT's New Technique Empowers Machine Learning Models to Address Confidence in Predictions

Machine learning models are becoming increasingly popular for tasks such as image classification, natural language processing, and even medical diagnosis.These models work by analyzing large amounts of data and learning patterns in that data to make predictions on new, unseen data.However, one challenge with machine learning models is that they are not always accurate in their predictions, and it's not always clear how confident the model is in its predictions.

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