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Which evaluation metric is most appropriate for a binary classification problem?
Practice Questions
Q1
Which evaluation metric is most appropriate for a binary classification problem?
Mean Squared Error
Accuracy
Silhouette Score
R-squared
Questions & Step-by-Step Solutions
Which evaluation metric is most appropriate for a binary classification problem?
Steps
Concepts
Step 1: Understand that a binary classification problem involves two classes, such as 'yes' and 'no'.
Step 2: Learn that accuracy measures how many predictions were correct out of all predictions made.
Step 3: Calculate accuracy by using the formula: (Number of correct predictions) / (Total number of predictions).
Step 4: Recognize that while accuracy is useful, it may not always be the best metric, especially if the classes are imbalanced.
No concepts available.
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