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Which evaluation metric is commonly used to assess the performance of Decision T
Which evaluation metric is commonly used to assess the performance of Decision Trees in classification tasks?
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Which evaluation metric is commonly used to assess the performance of Decision Trees in classification tasks?
Mean Squared Error
Accuracy
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Accuracy is a common metric for evaluating the performance of classification models like Decision Trees.
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Q: Which evaluation metric is commonly used to assess the performance of Decision Trees in classification tasks?
Solution:
Accuracy is a common metric for evaluating the performance of classification models like Decision Trees.
Steps: 5
Show Steps
Step 1: Understand what a Decision Tree is. It is a model used for making decisions based on data.
Step 2: Know that Decision Trees can be used for classification tasks, which means they help categorize data into different classes.
Step 3: Learn about evaluation metrics. These are ways to measure how well a model is performing.
Step 4: Identify that one common evaluation metric for classification tasks is Accuracy.
Step 5: Understand that Accuracy measures the percentage of correct predictions made by the Decision Tree.
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