In this post, you will learn about the concepts of training, validation, and test data sets used for training machine learning models. The post is most suitable for data science beginners or those who would like to get clarity and a good understanding of training, validation, and test data sets concepts. The following topics will be covered:
You can split data into the following different sets and each data split configuration will have machine learning models having different performance:
You get different model performances based on the different types of data split. The following diagram represents different data split configurations.
Lets understand the different aspects of model performance as following:
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