Weighted Average

Weighted average is a statistical measure that takes into account the relative importance or weight of each value in a dataset. It is calculated by multiplying each value by its weight, summing up the products, and dividing the result by the sum of weights. In data science, weighted average is commonly used in machine learning algorithms to give more importance to certain data points or features. For example, in a classification problem, a weighted average can be used to give more weight to the minority class to improve the model's accuracy. In addition, weighted average is also used in data analysis to calculate the average of a group of values where each value has a different frequency or weight.
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