Which factor(s) will increase when the prediction agrees with the gold standard.

Question

BlackTom AI · Accepted Answer

Question restatement: Which factor(s) will increase when the prediction agrees with the gold standard?

Option a) True Negative: When predictions match the gold standard on negative cases (i.e., correctly predicting non-events), True Negatives increase. This occurs because the model correctly identifies instances that are truly negative, adding to the count of TN as agreement occurs for those cases.

Option b) True Positive: When predictions match the gold standard on positive cases (i.e., correctly predicting events), True Positives increase. These agreements contribute to higher TP counts since the model correctly identifies actual positives.

Option c) False Positive: A False Positive happens when the model predicts a positive but the gold standard is negative. If the prediction agrees with the gold standard, FP would not increase; in fact, agreement means FP did not occur for that instance. Therefore FP would not increase as a result of agreement.

Option d) False Negative: A False Negative occurs when the model predicts negative but the gold standard is positive. Similar to FP, agreement implies the model did not misclassify in that case, so FN would not increase when there is agreement with the gold standard.

Summary notes: Since agreement with the gold standard indicates correct classifications, the counts that rise are True Positives and True Negatives, while False Positives and False Negatives do not increase under those conditions.

Which factor(s) will increase when the prediction agrees with the gold standard.

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