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Outliers skew means and inflate variances, ruining predictive model performance. The Z-score method works for normally distributed data, flagging points three or more standard deviations from the mean. The IQR method uses quartiles, setting fences at 1.5 times the interquartile range below Q1 and above Q3.
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