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Data Interview Question

Flight Delays with Regression

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Requirements Clarification & Assessment

  1. Understanding the Problem Scope:

    • The primary goal is to forecast the likelihood of flight delays using a regression model.
    • The challenge arises from flights experiencing delays up to 12 hours, which skew the model's accuracy.
  2. Data Examination:

    • Analyze the distribution of the delay times to confirm the presence and impact of outliers.
    • Assess the frequency and characteristics of these extreme delays to determine their influence on the model.
  3. Model Objectives:

    • Decide whether the focus is on predicting the delay duration or simply identifying if a delay will occur.
    • Determine if the model should handle continuous delay times or categorize delays into distinct groups.
  4. Stakeholder Requirements:

    • Confirm with stakeholders if they prefer a binary outcome (delay or no delay) or a more granular prediction (e.g., short, medium, long delay).