Question:medium
What do you mean by Evaluation of an AI model? Also explain the concept of overfitting with respect to AI model Evaluation.
What do you mean by Evaluation of an AI model? Also explain the concept of overfitting with respect to AI model Evaluation.
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Overfitting happens when a model becomes too complex and performs well on training data but poorly on new data.
Updated On: Jan 13, 2026
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Solution and Explanation
AI model evaluation quantifies machine learning model performance using metrics like accuracy, precision, recall, and F1-score. This process reveals how effectively the model operates on both its training dataset and new, unseen data. Overfitting happens when an AI model memorizes training data noise or specifics, degrading its performance on novel datasets. Consequently, overfitted models exhibit high training accuracy but generalize poorly to real-world situations.
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