👉 Resegmentation is a process in machine learning where a dataset is split into two or more sub-datasets, each containing a subset of the original data. This allows for the use of different algorithms and models on each sub-dataset to improve generalization capabilities. Resegmentation can be used in many applications such as image classification, natural language processing, and recommendation systems.
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What is the definition of Resegment? 🙋
👉 Resegmenting is a process in data analysis and computer science where new segments are added to an existing dataset, often for statistical or machine learning purposes. These segments can be either continuous variables (like age, weight) or categorical variables (like gender). Resegmenting is used when the original dataset contains missing values or when you want to add more information about a particular segment of data.
