?
Categories
Account

Which of the following is a common evaluation metric for classification problems

  • 📥 Instant PDF Download
  • ♾ Lifetime Access
  • 🛡 Secure & Original Content

What’s inside this PDF?

Question: Which of the following is a common evaluation metric for classification problems?

Options:

  1. Mean Squared Error
  2. Accuracy
  3. R-squared
  4. Silhouette Score

Correct Answer: Accuracy

Solution:

Accuracy is a common metric used to evaluate the performance of classification models by measuring the proportion of correct predictions.

Which of the following is a common evaluation metric for classification problems

Practice Questions

Q1
Which of the following is a common evaluation metric for classification problems?
  1. Mean Squared Error
  2. Accuracy
  3. R-squared
  4. Silhouette Score

Questions & Step-by-Step Solutions

Which of the following is a common evaluation metric for classification problems?
  • Step 1: Understand what a classification problem is. It involves predicting categories or classes for given data.
  • Step 2: Learn about evaluation metrics. These are ways to measure how well a model is performing.
  • Step 3: Identify common evaluation metrics for classification. One of the most common is accuracy.
  • Step 4: Define accuracy. It is the ratio of the number of correct predictions to the total number of predictions made.
  • Step 5: Conclude that accuracy is a widely used metric to evaluate classification models.
No concepts available.
Soulshift Feedback ×

On a scale of 0–10, how likely are you to recommend The Soulshift Academy?

Not likely Very likely
Home Practice Performance eBooks