Author(s): Gencay I.
Originally published on Towards AI.
Briefly Explained
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Contents
· Introduction· Terms ∘ Mean Square Error ∘ Pairwise Comparison ∘ Bootstrapping ∘ Chi-square ∘ Correlation ∘ Residual ∘ Intercept ∘ Slope ∘ Extrapolate ∘ Interpolate ∘ Linearity ∘ Nearly Normal Residuals ∘ Constant Variability ∘ Explanatory Variable ∘ Responsible Variable ∘ Collinearity ∘ Parsimony ∘ Backward Elimination ∘ Forward Selection ∘ Outliers ∘ Precision ∘ Recall ∘ F1 score ∘ Sum of Squares Total ∘ Population ∘ Sample ∘ A/B Testing· Conclusion
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