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A label is an identifier used to represent classes, and it is typically represented as integers starting with 0.
A label is an identifier used to represent classes, and it is typically represented as integers starting with 0.
True
Features in machine learning models are always represented as numbers.
Features in machine learning models are always represented as numbers.
True
Classification involves putting things into discrete categories, or classes, like dog breed, flower type, and digit.
Classification involves putting things into discrete categories, or classes, like dog breed, flower type, and digit.
True
The goal of training the model is to learn a relationship between the input features and the output label.
The goal of training the model is to learn a relationship between the input features and the output label.
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If the training data is not a good representation of the data the model will receive when it is used, we can expect our model to perform well.
If the training data is not a good representation of the data the model will receive when it is used, we can expect our model to perform well.
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