Explain the concept of F1 score.
An F1 score is an extensively utilized metric in machine learning and statistical analysis. It is used to measure the model's performance. It combines accuracy and recall, allowing an overall evaluation of a model's capacity to correctly categorize instances within an array. In this in-depth investigation, we'll dive into the complexities of the F1 score, looking at its elements,...
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