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QWhat does the term "Overfitting" signify in AI?

ID: #11118 Definitions 101 views
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  • A The process of mimicking human behavior in machines ✔ ✖
  • B The study of algorithms and data structures ✔ ✖
  • C A situation where a machine learning model performs well on training data but poorly on new, unseen data ✔ ✖
  • D The development of speech recognition systems ✔ ✖
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Underfitting occurs when a machine learning model is too simple or lacks the capacity to capture the underlying patterns in the data. An underfit model may oversimplify the relationships and fail to make accurate predictions or classifications. It signifies that the model has not learned enough from the data and requires further complexity or fine-tuning.

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