Split
Data splitting is when data is divided into two or more subsets. Typically, with a two-part split, one part is used to evaluate or test the data and the other to train the model.
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Building a machine learning-based project usually starts from data and ends in a data-driven decision. In between these two points, it includes various sub-steps, some are compulsorily required, and…🔗Medium
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A very common practice in machine learning is to never use the entire data available to train your machine learning model, but why? We will figure out the solution afterward but let’s first understand, what is data splitting? Data Splitting The train-test split is a technique for evaluating the perf🔗linkedin.com
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Learn about data splitting, what it is, how it works and its uses, as well as why it is an important aspect of machine learning.🔗Enterprise AI
