When the prediction matches the reality, the condition is termed as True Positive (TP) (or a correct prediction / accurate prediction).
Source: Chapter 3, Section 3.3 – Accuracy and Error; Section 3.4 – Confusion Matrix
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The passage defines True Positive as "the outcome of the model correctly predicting the positive class," meaning prediction matches reality. More broadly, the chapter links this to accuracy — when predictions match actual values, they are counted as correct (TP or TN). Examiners accept either "True Positive" (if context is confusion matrix) or "accurate/correct prediction" (if context is general accuracy). Write whichever fits the context of your question paper.