- www.mycodingclasses.com
A structured set of examples used to train or test an algorithm.
- www.mycodingclasses.com
Splits data into branches to reach predictions.
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Calculates how far predictions are from reality.
- www.mycodingclasses.com
Tags that tell the algorithm what each training example represents.
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Combines multiple decision trees for better accuracy.
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Adjusts model weights to minimize loss.
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Model memorizes data instead of generalizing.
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Model is too simple to capture patterns.
- www.mycodingclasses.com
Splits data into parts to check consistency of results.