Chapter 3 · Section 1 practice

Feature Distributions and Diagnostics

0 of 5 answered

These questions review the examples in the companion slides. Choose an answer, then check the explanation.

Question 1

A later sample contains extreme feature values. Which clipping rule preserves the development boundary?

  • Fit cutoffs on all dates
  • Fit cutoffs on development dates and apply them unchanged
  • Choose cutoffs to maximise held-out IC
  • Delete every held-out extreme

Question 2

The feature table has 639 stock-month rows. How many independent experiments does that establish?

  • 639
  • 71
  • The row count alone cannot establish independence
  • Nine

Question 3

Which statement about an ECDF is correct?

  • It reports the fraction of observations at or below a value
  • It requires a Normal model
  • It proves the sample is representative
  • It preserves time order

Question 4

Which pattern should trigger investigation of coverage and market conditions?

  • A sorted ticker key
  • An explicitly recorded feature name
  • A fixed seed
  • A large development-to-held-out quantile shift

Question 5

For a continuous variable, what gives the probability of falling between two values?

  • The area under the density between those values
  • The density height at the midpoint
  • The bandwidth alone
  • The number of plotted grid points