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Datasets: Difference between revisions
Created page with "===Definition== Datasets in machine learning refer to a collection of information collected for training, testing, and assessing a model. They typically consist of input data (features) and their corresponding output or label data. Datasets can vary in size, format, and complexity depending on the problem being addressed. ==Importance== Datasets are essential elements in machine learning, as they serve to train, test and evaluate models. The quality and quantity of the..."
(Created page with "===Definition== Datasets in machine learning refer to a collection of information collected for training, testing, and assessing a model. They typically consist of input data (features) and their corresponding output or label data. Datasets can vary in size, format, and complexity depending on the problem being addressed. ==Importance== Datasets are essential elements in machine learning, as they serve to train, test and evaluate models. The quality and quantity of the...") |
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