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Basic Flashcards

7 cards from real DSE practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

Read the first 7 Basic flashcards as text
  1. What is a 'feature' in the context of machine learning?

    Answer: An individual measurable property used as model input

    A feature is an individual measurable input variable that the model uses to make predictions.

  2. Which type of chart is best for showing the distribution of a single continuous variable?

    Answer: Histogram

    A histogram groups continuous data into bins and shows frequency, revealing the distribution shape.

  3. What does SQL stand for?

    Answer: Structured Query Language

    SQL stands for Structured Query Language, used to manage and query relational databases.

  4. In supervised learning, what is the 'label'?

    Answer: The known output used during training

    The label (or target) is the known correct output that the model learns to predict during training.

  5. What is the interquartile range (IQR)?

    Answer: Q3 minus Q1

    The IQR is Q3 − Q1, representing the middle 50% spread of data and useful for detecting outliers.

  6. Which of the following is an example of categorical data?

    Answer: Customer satisfaction level (Low/Medium/High)

    Categorical data represents discrete groups or categories rather than numerical measurements.

  7. What is overfitting in machine learning?

    Answer: The model learns training data too well and fails to generalize

    Overfitting occurs when a model memorizes training data noise, causing poor performance on unseen data.