AppliedMultiple choice
You are asked to predict house prices, which range from tens of thousands to tens of millions. Which error metric do you propose first?
- APlain mean squared error on prices, since it is the standard regression loss
- BError on log prices
- CClassification accuracy after bucketing prices into bands of equal width
- DThe correlation between predicted and actual prices, which is scale-free
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