Quantitative Measure
A quantitative measure is a numerical value that represents a specific attribute or characteristic of a dataset. In data science, quantitative measures are used to analyze and interpret data, and to make informed decisions based on the results. These measures can be descriptive, such as mean, median, and mode, or inferential, such as correlation coefficients and regression analysis. Quantitative measures can also be used to evaluate the performance of machine learning models, such as accuracy, precision, recall, and F1 score. The choice of quantitative measure depends on the type of data and the research question being addressed. It is important to choose the appropriate measure to ensure accurate and meaningful results.
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