Confusion matrix

Confusion matrix - A summary table showing classification performance. It tabulates True Positives, False Positives, False Negatives and True Negatives. For a forex signal classifier, rows might be actual market moves (up/down) and columns predicted moves. The diagonal cells count correct predictions; off-diagonals show errors (e.g. false buy signals). The confusion matrix makes it easy to see if the model is confusing one class for another. From it, metrics like precision and recall can be computed.