Machine Learning Models: Characteristics and Errors
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Questions and Answers

What is an example of a characteristic of a high bias model?

  • Failure to capture proper data trends
  • Likely to overfit
  • Likely to underfit (correct)
  • Failure to capture complex data trends
  • What is the error between model predictions and the actual results called?

  • Bias (correct)
  • Variance
  • Modeling
  • Data set
  • What describes how well the model captures in the training data set?

  • Bias (correct)
  • Variance
  • Modeling
  • Data set
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