Bias Variance Irreducible Error and Model Complexity Trade off
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Nov 21, 2019
Bias Variance Irreducible Error and Model Complexity Trade off
Supervised Machine Learning can be summarized as shown below
Training data is fed to algorithm, which results in target function derivation. Test data is fed into this target function to get the prediction.
As an example, for simple linear regression algorithm follows equation h(y)=b0+b1X1.
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