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What does the term 'confusion matrix' refer to?

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Question: What does the term \'confusion matrix\' refer to?

Options:

  1. A matrix that shows the performance of a classification model
  2. A method for visualizing neural network layers
  3. A technique for data preprocessing
  4. A type of unsupervised learning algorithm

Correct Answer: A matrix that shows the performance of a classification model

Solution: 

A confusion matrix is a table that shows the performance of a classification model by comparing predicted and actual values.

What does the term 'confusion matrix' refer to?

Practice Questions

Q1
What does the term 'confusion matrix' refer to?
  1. A matrix that shows the performance of a classification model
  2. A method for visualizing neural network layers
  3. A technique for data preprocessing
  4. A type of unsupervised learning algorithm

Questions & Step-by-Step Solutions

What does the term 'confusion matrix' refer to?
  • Step 1: Understand that a confusion matrix is a tool used in machine learning.
  • Step 2: Know that it helps evaluate how well a model is performing.
  • Step 3: Realize that it compares two things: what the model predicted and what the actual results were.
  • Step 4: Visualize it as a table with four main parts: True Positives, True Negatives, False Positives, and False Negatives.
  • Step 5: Learn that this table helps identify how many predictions were correct and how many were wrong.
  • Confusion Matrix – A table used to evaluate the performance of a classification model by displaying the counts of true positive, true negative, false positive, and false negative predictions.
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