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Seneca College SEA100 AI Classification & Clustering Quiz
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Seneca College SEA100 AI Classification & Clustering Quiz

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Questions and Answers

What does TP stand for in a binary classification confusion matrix?

  • True Positives (correct)
  • Total Positives
  • True Predictions
  • Total Predictions
  • What is the formula for calculating Accuracy in a confusion matrix?

  • (TP + FP) / (TP + FP + TN + FN)
  • (TP + TN) / (TP + FP + TN + FN) (correct)
  • (TP + FN) / (TP + FP + TN + FN)
  • (TP + TN) / (FP + TN)
  • In Precision/Recall evaluation, what is Recall referring to?

  • Percentage of true positives (correct)
  • Percentage of true negatives
  • Percentage of false alarms
  • Percentage of false negatives
  • What is the F-measure also known as in its most commonly used form?

    <p>F-1 Score</p> Signup and view all the answers

    For a highly-performing model, where should the False Positives (FP) value be in a confusion matrix?

    <p>Low</p> Signup and view all the answers

    What does TN represent in a confusion matrix?

    <p>True Negatives</p> Signup and view all the answers

    'Precision' in Precision/Recall evaluation refers to what?

    <p>% of correct identifications among true positives</p> Signup and view all the answers

    'F-measure' combines which two metrics?

    <p>% Precision and % Recall</p> Signup and view all the answers

    'Accuracy' in confusion matrices is calculated using which four metrics?

    <p>(TP + FP) / (TP + FP + TN + FN)</p> Signup and view all the answers

    'Recall' percentage measures what aspect in an evaluation?

    <p>% of correct identifications among all positives</p> Signup and view all the answers

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