accuracy
Measures the over all performance of the classification model in terms of fraction of predictions made by the classifier that are correct. Interpretation: Accuracy is the fraction of number of correct predictions out of all examples, where the best value is 1 and the worst is 0.
Syntax
Score = accuracy(targets,predictions)
Inputs
- targets
- Actual label for each observation.
- predictions
- Predicted value for each observation.
Outputs
- Score
- Accuracy of the classifier.
Example
Usage of accuracy
targets = [0 1 0 1];
predictions = [1 1 1 1];
score1 = accuracy(targets, predictions);> score1
score1 = 0.5