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What is the purpose of a confusion matrix?
What is the purpose of a confusion matrix?
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Practice Questions
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Q1
What is the purpose of a confusion matrix?
To visualize the performance of a regression model
To summarize the performance of a classification model
To optimize hyperparameters
To reduce overfitting
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A confusion matrix summarizes the performance of a classification model by showing true vs. predicted classifications.
Questions & Step-by-step Solutions
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Q
Q: What is the purpose of a confusion matrix?
Solution:
A confusion matrix summarizes the performance of a classification model by showing true vs. predicted classifications.
Steps: 5
Show Steps
Step 1: Understand that a confusion matrix is a table used in machine learning.
Step 2: Know that it compares the actual results (true classifications) with the results predicted by the model.
Step 3: Realize that it helps to see how many predictions were correct and how many were wrong.
Step 4: Learn that the matrix shows four key values: True Positives, True Negatives, False Positives, and False Negatives.
Step 5: Use the confusion matrix to evaluate the performance of the classification model.
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