In machine learning, the algorithmic line that differentiates data into different logical sections. Decision boundaries are used for classification, with data being defined in different categories depending on which side of a line the data is placed. Decision boundaries can be simple in the case of simple machine learning approaches or complicated in the case of neural networks and more sophisticated approaches.
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