Answer-first summary for fast verification
Answer: the predicted condition is positive but the actual condition is negative.
In classification error analysis: - **Type I error** (False Positive): When the model predicts positive but the actual condition is negative - **Type II error** (False Negative): When the model predicts negative but the actual condition is positive - **True Positive**: Both predicted and actual conditions are positive - **True Negative**: Both predicted and actual conditions are negative Therefore, Type I error corresponds to option C: "the predicted condition is positive but the actual condition is negative."
Author: LeetQuiz Editorial Team
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A
both the predicted condition and the actual condition are negative.
B
the predicted condition is negative but the actual condition is positive.
C
the predicted condition is positive but the actual condition is negative.
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