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Questions and Answers
What does TP stand for in a binary classification confusion matrix?
What does TP stand for in a binary classification confusion matrix?
- True Positives (correct)
- Total Positives
- True Predictions
- Total Predictions
What is the formula for calculating Accuracy in a confusion matrix?
What is the formula for calculating Accuracy in a confusion matrix?
- (TP + FP) / (TP + FP + TN + FN)
- (TP + TN) / (TP + FP + TN + FN) (correct)
- (TP + FN) / (TP + FP + TN + FN)
- (TP + TN) / (FP + TN)
In Precision/Recall evaluation, what is Recall referring to?
In Precision/Recall evaluation, what is Recall referring to?
- Percentage of true positives (correct)
- Percentage of true negatives
- Percentage of false alarms
- Percentage of false negatives
What is the F-measure also known as in its most commonly used form?
What is the F-measure also known as in its most commonly used form?
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For a highly-performing model, where should the False Positives (FP) value be in a confusion matrix?
For a highly-performing model, where should the False Positives (FP) value be in a confusion matrix?
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What does TN represent in a confusion matrix?
What does TN represent in a confusion matrix?
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'Precision' in Precision/Recall evaluation refers to what?
'Precision' in Precision/Recall evaluation refers to what?
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'F-measure' combines which two metrics?
'F-measure' combines which two metrics?
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'Accuracy' in confusion matrices is calculated using which four metrics?
'Accuracy' in confusion matrices is calculated using which four metrics?
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'Recall' percentage measures what aspect in an evaluation?
'Recall' percentage measures what aspect in an evaluation?
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