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When model predictions lean unfairly toward certain outcomes.
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How much predictions fluctuate with different data.
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Find the sweet spot between underfitting and overfitting.
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Converts categories into numeric binary columns.
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Separates data for learning vs. evaluation.
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High-level library for building neural networks easily.
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Percentage of results the model gets right.
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Popular library for flexible model development.