metric flash cards in matlab

To evaluate the performance of flash cards in Matlab, you can use various metrics such as accuracy, precision, recall, and F-score. Here's a code snippet to calculate these metrics:

% True labels of flash cards
y_true = [1, 0, 0, 1, 1, 1, 0, 1, 0, 1];

% Predicted labels of flash cards
y_pred = [1, 0, 1, 1, 0, 1, 0, 1, 0, 0];

% Calculate true positive (TP), true negative (TN),
% false positive (FP), and false negative (FN)
TP = sum((y_true == 1) & (y_pred == 1));
TN = sum((y_true == 0) & (y_pred == 0));
FP = sum((y_true == 0) & (y_pred == 1));
FN = sum((y_true == 1) & (y_pred == 0));

% Calculate accuracy, precision, recall, and F-score
accuracy = (TP + TN) / (TP + TN + FP + FN);
precision = TP / (TP + FP);
recall = TP / (TP + FN);
F_score = 2 * precision * recall / (precision + recall);
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In the above code, we first define the true labels of flash cards and the predicted labels by our model. We then calculate the true positive (TP), true negative (TN), false positive (FP), and false negative (FN) values by comparing the true and predicted labels. Finally, we calculate accuracy, precision, recall, and F-score using these values.

You can modify this code to suit your specific requirements and evaluate the performance of your flash cards system in Matlab.