The smoothing parameter is a value used in statistical techniques to control the level of smoothing applied to data when estimating a probability density function, often seen in density plots. This parameter plays a crucial role in determining how closely the estimated density follows the actual data points, affecting the trade-off between overfitting and underfitting. Adjusting the smoothing parameter can lead to varying representations of the data distribution, which impacts how effectively patterns and trends are visualized.
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