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Related Questions
- What are some key performance indicators (KPIs) used to measure the improvement in dataset quality through active learning?
- How do human-in-the-loop methods impact the accuracy of machine learning models, and what metrics are used to evaluate this impact?
- What are some common metrics used to evaluate the effectiveness of active learning in reducing annotation costs and improving model performance?
- Can you explain the concept of 'calibration' in the context of active learning and human-in-the-loop methods, and how is it measured?
- What role do metrics such as precision, recall, and F1-score play in evaluating the effectiveness of active learning and human-in-the-loop methods?
- How do metrics such as mean squared error (MSE) and mean absolute error (MAE) relate to the evaluation of active learning and human-in-the-loop methods?
- What are some common metrics used to evaluate the effectiveness of active learning in improving model interpretability and explainability?
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