Tag: Techniques to reduce bias and variance
What is bias and variance in Machine Learning?
When we talk about modeling, it’s important to understand the way models deal with errors (bias and variance). There are tradeoffs between how well a model can reduce these errors. Understanding the errors in your models can help you to avoid the mistake of overfitting and underfitting. What is bias? Bias is the average that…
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