Accuracy Calculator

Accuracy Calculator calculator can be used to calculate the accuracy of a classification model by inputting true positives, true negatives, false positives, and false negatives.

Input Parameters

Calculation Results

Calculation Formula

Accuracy = (TP + TN) / (TP + TN + FP + FN)

Where:
TP = True Positives
TN = True Negatives
FP = False Positives
FN = False Negatives

Result

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Accuracy Calculator Calculator Usage Guide

Learn how to use the Accuracy Calculator calculator and its working principles

How to Use the Accuracy Calculator

  1. Enter the number of True Positives (TP) in the respective input field.
  2. Enter the number of True Negatives (TN) in the respective input field.
  3. Enter the number of False Positives (FP) in the respective input field.
  4. Enter the number of False Negatives (FN) in the respective input field.
  5. Click the "Calculate" button to compute the accuracy.
  6. The result will be displayed in the "Result" section.

Understanding Accuracy

Accuracy is a measure of the correctness of a classification model. It is calculated as the ratio of true positive predictions to the total number of predictions. The formula for accuracy is:

Accuracy = (TP + TN) / (TP + TN + FP + FN)

Where:

  • TP (True Positives) - The number of instances where the model correctly predicts the positive class.
  • TN (True Negatives) - The number of instances where the model correctly predicts the negative class.
  • FP (False Positives) - The number of instances where the model incorrectly predicts the positive class.
  • FN (False Negatives) - The number of instances where the model incorrectly predicts the negative class.