Balancing the _________ in a training dataset is vital to ensure that the model does not become biased towards one particular outcome.
- classes
- features
- models
- parameters
Balancing the "classes" in a training dataset ensures that the model does not become biased towards one class, leading to a more accurate and fair representation of the data. This is especially crucial in classification tasks.
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