What is Training Data and Testing Data?
The data needed to train machine learning models is known as training data (or a training dataset). Training datasets are fed to machine learning algorithms to instruct them how to make predictions or perform certain task. Once your machine learning model is set up (with your training data), you need unseen data to test your model. This data is called testing data, and you can use it to estimate the performance and progress of your algorithms ’training and acclimate or optimize it for enhanced results. The concept of using training data in machine learning systems is a simple one, yet it is fundamental to how these technologies work. What is the difference between Training Data and Testing Data? Training Data The information is used to train an algorithm for a specific output is known as training data. It contains both the anticipated output as well as the input data. A training set is a dataset that’s used to train a machine learning model to get the desired output r...
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