A learning curve is a graphical representation that shows the relationship between a person's experience or practice with a task and their performance over time. It highlights how individuals tend to improve their efficiency and accuracy as they gain more experience, often leading to decreasing error rates and increased speed. Understanding learning curves is essential when examining the trade-offs between bias and variance in predictive modeling, as it illustrates how model performance can evolve with more training data and adjustments in complexity.
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