Knowee
Questions
Features
Study Tools

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-RecallPrecissionAccuracyAll of the above

🧐 Not the exact question you are looking for?Go ask a question

Solution

All of the above. With the help of a confusion matrix, we can compute Recall, Precision, and Accuracy.

Here's how:

  1. 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).

  2. 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).

  3. 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.

This problem has been solved

Similar Questions

With the help of a confusion matrix, we can compute-(1 Point)RecallPrecisionAccuracyAll 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

Choose two words, one from each group, that are most opposite in meaning.(recallresponsereminded)(confusionforgetrevisit)

Given the confusion matrix for a disease prediction model, calculate the Precision, Recall, and F1-Score, and choose the correct values from the options below.1 pointPrecision: 0.800, Recall: 0.750, F1-Score: 0.774Precision: 0.778, Recall: 0.700, F1-Score: 0.737Precision: 0.850, Recall: 0.600, F1-Score: 0.706Precision: 0.900, Recall: 0.650, F1-Score: 0.756

State true or False: Precision is inversely proportional to recall True False

1/1

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.