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Which evaluation metric is commonly used for binary classification problems?
Which evaluation metric is commonly used for binary classification problems?
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Which evaluation metric is commonly used for binary classification problems?
Mean Squared Error
Accuracy
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Accuracy is a common evaluation metric for binary classification, measuring the proportion of correct predictions.
Questions & Step-by-step Solutions
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Q: Which evaluation metric is commonly used for binary classification problems?
Solution:
Accuracy is a common evaluation metric for binary classification, measuring the proportion of correct predictions.
Steps: 4
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Step 1: Understand what binary classification means. It involves categorizing data into two groups, like 'yes' or 'no'.
Step 2: Learn about evaluation metrics. These are ways to measure how well a model is performing.
Step 3: Identify the common evaluation metric for binary classification. One of the most common metrics is accuracy.
Step 4: Know what accuracy means. It measures the proportion of correct predictions made by the model compared to the total predictions.
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