Machine learning algorithm's error Bias, is the common error due to simplistic assumptions. It may undermine your data & does not allow you to achieve maximum accuracy.
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The definition of bias is a tendency to believe that something is true or likely to be true, even when the evidence suggests otherwise. In other words, it’s an indication that your algorithm has been trained on data that is skewed in some way.
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This post was finally edited by Fill999 at 2023-5-24 17:00
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