With the help of a confusion matrix, we can compute-RecallPrecissionAccuracyAll of the above
Question
With the help of a confusion matrix, we can compute-
- Recall
- Precision
- Accuracy
- All of the above
Solution
All of the above. With the help of a confusion matrix, we can compute Recall, Precision, and Accuracy.
Here's how:
-
Recall: Also known as sensitivity, hit rate, or true positive rate (TPR), it measures the proportion of actual positives that are correctly identified. It is defined as the ratio of true positives (TP) to the sum of true positives and false negatives (FN). It is computed as Recall = TP / (TP + FN).
-
Precision: Also known as positive predictive value, it measures the proportion of actual positives that are correctly identified. It is defined as the ratio of true positives (TP) to the sum of true positives and false positives (FP). It is computed as Precision = TP / (TP + FP).
-
Accuracy: It measures the proportion of true results (both true positives and true negatives) in the population. It is computed as Accuracy = (TP + TN) / (TP + TN + FP + FN).
So, a confusion matrix is a handy tool to compute all these metrics.
Similar Questions
With the help of a confusion matrix, we can compute-RecallPrecissionAccuracyAll of the above
For the given confusion matrix, compute the recall True Positive True NegativePredicted Positive 8 3Predicted Negative 2 7 0.73 0.7 0.78 0.8
What does recall refer to in classification?(1 Point)The proportion of only the correct data pointsThe proportion of all data pointsBoth the aboveNone of these
Which of the following is the conscious memory that can be recalled intentionally?sensory memoryimplicit memoryshort-term memoryexplicit memory
In conditioned learning, forgetting is often referred to asQuestion 22Select one:a.De- conditioningb.Decayc.Retrieval failured.Extinctione.Failure
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.