In practice, given a dataset how do I assess that I have variance or bias problem such that I can move my efforts towards reducing them by using proper models for each case (for example: RandomForests for decreasing variance and GradientBoosting for reducing bias)?
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1Bias-variance tradeoff concerns models, not the data. – Dave Aug 05 '20 at 22:32