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김태오
Decision Boundary 본문
a mathematical function or a line that separates different classes or categories in a dataset.
It is the boundary or the threshold where a particular observation is classified into one of the categories.
The decision boundary is determined by the algorithm based on the input features of the data.
The goal of a machine learning model is to find the decision boundary that correctly classifies the training data and generalizes well to new, unseen data.
The complexity and shape of the decision boundary depend on the type of machine learning algorithm used and the nature of the data.
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