1. What is an Accuracy Calculator?

Definition: This calculator computes the accuracy ratio by dividing the number of correct predictions or results by the total number of attempts.

Purpose: It helps measure performance in classification tasks, tests, or any scenario where you need to quantify correctness.

2. How Does the Calculator Work?

The calculator uses the formula:

Where:

• Accuracy — Ratio of correct to total (dimensionless, between 0 and 1)
• correct — Number of correct predictions/answers (integer)
• total — Total number of predictions/attempts (integer)

Explanation: The formula gives the proportion of correct results out of all attempts.

3. Importance of Accuracy Calculation

Details: Accuracy measurement is crucial in machine learning, quality control, testing, and performance evaluation across many fields.

4. Using the Calculator

Tips: Enter the number of correct results and total attempts. Correct must be ≤ total, and total must be > 0.

5. Frequently Asked Questions (FAQ)

Q1: What does an accuracy of 0.75 mean?
A: It means 75% of the attempts were correct (3 out of 4, 75 out of 100, etc.).

Q2: Can accuracy be greater than 1?
A: No, accuracy ranges from 0 (0% correct) to 1 (100% correct).

Q3: What if I have more correct than total?
A: The calculator will reject such inputs as invalid (correct must be ≤ total).

Q4: How do I convert accuracy to percentage?
A: Multiply the accuracy value by 100 (e.g., 0.85 accuracy = 85%).

Q5: When is accuracy not a good metric?
A: In imbalanced datasets where one class dominates, other metrics like precision/recall may be better.