👉 "Cutoff" is a term in computer science and statistics, used to describe a point at which a data set falls below a certain threshold or value. This concept is often applied when analyzing data sets where the goal is to identify patterns or outliers that are indicative of a particular phenomenon or trend. In other words, "cutoff" refers to the point at which a data set begins to diverge from its normal distribution. It can be used in various fields such as statistics, machine learning, and
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What is the definition of Cutoffs? 🙋
👉 In statistics and machine learning, a "cutoff" is a threshold value that is used to split data into two groups. It can be thought of as a limit on the size of the training set or validation set, which is often chosen based on certain criteria such as accuracy, precision, recall, F1 score, etc. In statistics, cutoffs are particularly useful when dealing with large datasets and high-dimensional features that cannot fit into memory or processing resources. They can be used to prioritize important
