Table of Contents
Question
You are developing a model to predict events by using classification. You have a confusion matrix for the model scored on test data as shown in the following exhibit.
There are __________ correctly predicted positives.
A. 5
B. 11
C. 1,033
D. 13,951
There are __________ false negatives.
A. 5
B. 11
C. 1,033
D. 13,951
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
Answer
There are 11 correctly predicted positives.
There are 1,033 false negatives.
Explanation
There are 11 correctly predicted positives.
TP = True Positive.
The class labels in the training set can take on only two possible values, which we usually refer to as positive or negative. The positive and negative instances that a classifier predicts correctly are called true positives (TP) and true negatives (TN), respectively. Similarly, the incorrectly classified instances are called false positives (FP) and false negatives (FN).
There are 1,033 false negatives.
FN = False Negative
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