Which evaluation metric is commonly used for classification problems with Decisi

₹0.0

Question: Which evaluation metric is commonly used for classification problems with Decision Trees?

Options:

Correct Answer: Accuracy

Solution:

Accuracy is a common evaluation metric for classification problems, measuring the proportion of correct predictions.

Which evaluation metric is commonly used for classification problems with Decision Trees?

Which evaluation metric is commonly used for classification problems with Decision Trees?

Step 1: Understand what a classification problem is. It involves predicting categories or classes for given data.
Step 2: Learn about Decision Trees. They are a type of model used to make predictions based on decision rules.
Step 3: Know what an evaluation metric is. It helps to measure how well a model is performing.
Step 4: Identify the common evaluation metrics for classification. One of the most common is accuracy.
Step 5: Understand accuracy. It measures the proportion of correct predictions made by the model compared to the total predictions.

No concepts available.