Question: What evaluation metric is commonly used to assess the performance of a classification model?
Options:
Accuracy
Mean Squared Error
Silhouette Score
R-squared
Correct Answer: Accuracy
Solution:
Accuracy measures the proportion of true results among the total number of cases examined.
What evaluation metric is commonly used to assess the performance of a classific
Practice Questions
Q1
What evaluation metric is commonly used to assess the performance of a classification model?
Accuracy
Mean Squared Error
Silhouette Score
R-squared
Questions & Step-by-Step Solutions
What evaluation metric is commonly used to assess the performance of a classification model?
Step 1: Understand what a classification model is. It is a type of model that predicts categories or classes for given data.
Step 2: Learn about evaluation metrics. These are tools used to measure how well the model is performing.
Step 3: Identify the most common evaluation metric for classification models, which is accuracy.
Step 4: Know what accuracy means. It is the ratio of correct predictions to the total number of predictions made.
Step 5: Calculate accuracy by using the formula: Accuracy = (Number of Correct Predictions) / (Total Number of Predictions).
Step 6: Interpret the accuracy value. A higher accuracy means the model is performing better.
Classification Model Evaluation – Accuracy is a metric used to determine how well a classification model performs by calculating the ratio of correctly predicted instances to the total instances.
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