AppliedMultiple choice
Why do gradient-boosted trees usually beat deep networks on daily cross-sectional equity data?
- ATrees are inherently more accurate than any neural network
- BThe signal is weak and the data tabular and scarce
- CNeural networks cannot handle features on different scales
- DTrees give exact confidence intervals for each prediction
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