DM week 6

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  • Created by: mariolarc
  • Created on: 11-05-21 15:35

1. Which of the following statements about kernel density estimation is false?

  • The choice of the kernel function is more critical than the choice of the bandwidth.
  • Computes a smooth density estimate.
  • Attempts to improve histograms.
  • Applies mainly to low-dimensional data in practice.
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Other questions in this quiz

2. Which of the following is not a weakness of instance-based learning models?

  • Training is time-consuming.
  • Memory-intensive.
  • Lack of strong distance / combination functions.
  • Prediction is time-consuming.

3. Support vector machines use a kernel function mainly to:

  • map the original data into a higher-dimensional space.
  • enforce maximum margin separation.
  • ensure linearity.
  • build a binary separator.

4. Which of the following allows the efficient comparison of a snippet with a song in Shazam music recognition?

  • Constellation plot.
  • Spectrogram.
  • Anchor point.
  • kD-tree.

5. Locally weighted regression models:

  • Have many spikes.
  • Are non-smooth.
  • Use a kernel function.
  • Contain a bounded number of smaller linear regression models.

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