Bias-Variance Tradeoff: Difference between revisions
Thakshashila (talk | contribs) Created page with "= Bias-Variance Tradeoff = '''Bias-Variance Tradeoff''' is a fundamental concept in machine learning that describes the balance between two sources of error that affect model performance: bias and variance. == What is Bias? == Bias refers to the error introduced by approximating a real-world problem, which may be complex, by a simpler model. A model with high bias pays little attention to the training data and oversimplifies the problem. * High bias can cause '''unde..." |
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bias variance tradeoff machine learning, what is bias and variance, overfitting and underfitting, reduce bias and variance, model error sources, bias variance explained, balance bias and variance | bias variance tradeoff machine learning, what is bias and variance, overfitting and underfitting, reduce bias and variance, model error sources, bias variance explained, balance bias and variance | ||
[[Category:Artificial Intelligence]] | |||