What is the situation when trade off is made while selection of machine learning algorithm in context of bias and variance.
How do you do a trade-off between bias and variance in machine learning
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What is the situation when trade off is made while selection of machine learning algorithm in context of bias and variance.
swain
High bias and low variance algorithms train models that are consistent, but inaccurate on average.
High variance and low bias algorithms train models that are accurate but inconsistent.
if we make the model more complex by adding more variables, we will lose bias but gain variance.
To get the optimally-reduced amount of error, we will have to trade off bias and variance. Neither high bias nor high variance is desired.