The MSE loss

The mean squared error loss quantifies the error between a target variable and an estimate for its value.

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Train error and test error

The train error is the error commited by a machine-learning model on the dataset it was trained on. The test error is the error commited on another dataset...

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What is an hyperparameter?

An hyperparameter is a parameter of the machine-learning algorithm. While the parameters are learned by the machine-learning algorithm, an hyperparameter dictates how the algorithm learns.

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