In a confusion matrix, the value representing correctly predicted positive instances is called the _______.
- True Positive
- False Positive
- True Negative
- False Negative
In a confusion matrix, the value representing correctly predicted positive instances is called "True Positive." This refers to the cases where the model correctly identified positive instances in the dataset. Understanding True Positives is essential for assessing the model's performance, especially in classification tasks.
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