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QWhat does the term "Hyperparameter" signify in AI?

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  • A The process of mimicking human behavior in machines ✔ ✖
  • B The study of algorithms and data structures ✔ ✖
  • C Parameters set before the learning process that affect the behavior and performance of a machine learning model ✔ ✖
  • D The development of speech recognition systems ✔ ✖
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The Bias-Variance Tradeoff refers to the tradeoff between a model's ability to fit the training data well (low bias) and its ability to generalize to new, unseen data (low variance). A model with high bias oversimplifies the relationships in the data and may underfit, while a model with high variance overfits the training data and fails to generalize. Achieving an optimal tradeoff between bias and variance is essential for building models that perform well on both the training and testing datasets.

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