| fleo | Дата: Воскресенье, 05.02.2023, 15:28 | Сообщение # 1 |
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| However, even the smallest error in training data might have the opposite effect. In machine learning, such errors are referred to as bias, or rather data bias. It is when some pieces of a dataset are more extensively represented or weighted compared to other parts of it. A biased dataset will produce skewed results, poor levels of accuracy, and analytical mistakes since it cannot fully reflect the use case for the model. Visit to read more: https://thenewsgod.com/the-types-of-data-bias-in-machine-learning/
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