Bias and variance

Too simple a model misses the signal; too flexible a model memorises the noise. Diagnose which from train and validation error.

• Artificial intelligence

1 idea that carry it

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  Precision against recall: which error you can afford is a business decision

  Decide which mistake is more expensive before tuning a model; the threshold is a business choice the statistics only express.

  Any model used for screening, fraud, credit or hiring, and the interview question of how you would evaluate a classifier.

  From Precision vs Recall, With a Clear Example · Kimberly Fessel