3 things I check before building any prediction model: Multicollinearity — are my features actual...3 things I check before building any prediction model: Multicollinearity — are my features actual...
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3 things I check before building any prediction model:
Multicollinearity — are my features actually independent, or just noise duplicating each other?
Outliers — one bad data point can quietly wreck your regression line.
What the client actually needs — R² of 0.95 means nothing if it doesn't answer their real question.
Skipping these is the #1 reason "accurate" models still don't help decision-making.
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