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How to measure the effectiveness of machine learning models
The effectiveness of machine learning models can be measured through evaluation. This involves assessing the model's performance on specific tasks after training. It is important to consider how useful the model is to people and the value and utility it provides. Additionally, understanding why the model makes certain decisions is a ongoing challenge, but efforts are being made to gain better insights. The ultimate goal is to create models that bring delight to people and contribute to a better world.