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* **Variance**: Variance, on the other hand, refers to the sensitivity of the model to small changes in the training data. A high variance model learns the noise in the training data along with the actual underlying patterns. As a result, it performs very well on the training data but poorly on the test data because it fails to generalize to new, unseen data. This is known as overfitting.
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* **Brownies are not cooked in the center**: Your air fryer might be overcrowded. If you're making a large batch, cook the brownies in batches or reduce the amount of batter in the basket. Also, ensure your air fryer is preheated.
