how to calculate f-score in matlab

To calculate the F-score in MATLAB, you can use the f1_score function from the Statistics and Machine Learning Toolbox. This function requires inputs y_true and y_pred, which are vectors of true and predicted class labels, respectively. Here is an example usage:

main.m
% example data
y_true = [1 0 1 1 0 1];
y_pred = [1 0 1 0 1 0];

% calculate F-score
f1 = f1_score(y_true, y_pred);
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This will output an F1-score value between 0 and 1. In addition to F1-score, the f1_score function can also output precision and recall values, which are useful for evaluating the performance of binary classifiers.