Match the metrics with their corresponding definition. TPR/Recall PPV/Precision TNR/Specificity Accuracy ✔ [Choose ] The ratio of correctly classified predictions over all predictions The ratio of the positive predictions that were correct over the total number of positive predictions made. The ratio over the number of negative predictions that were correct over all the true negative class samples. The ratio over the number of positive predictions that were correct over all the true positive class samples [Choose ]
Match the metrics with their corresponding definition. TPR/Recall PPV/Precision TNR/Specificity Accuracy ✔ [Choose ] The ratio of correctly classified predictions over all predictions The ratio of the positive predictions that were correct over the total number of positive predictions made. The ratio over the number of negative predictions that were correct over all the true negative class samples. The ratio over the number of positive predictions that were correct over all the true positive class samples [Choose ]
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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![Transcription:
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**Match the metrics with their corresponding definition.**
1. **TPR/Recall**
[ Choose ]
2. **PPV/Precision**
The ratio of correctly classified predictions over all predictions
The ratio of the positive predictions that were correct over the total number of positive predictions made.
The ratio over the number of negative predictions that were correct over all the true negative class samples.
The ratio over the number of positive predictions that were correct over all the true positive class samples.
3. **TNR/Specificity**
4. **Accuracy**
[ Choose ]
---
The text above is part of an interactive exercise where users can match various performance metrics with their definitions. Each metric, such as TPR/Recall, PPV/Precision, TNR/Specificity, and Accuracy, is provided with a dropdown option to select the corresponding definition. The definitions include details about the calculations for these metrics in the context of predictions and classifications.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2e96339b-d3d9-4039-844d-3fc091742cc5%2Ffca60d49-a6bc-4040-847f-74cdddec7447%2Fjskdd39_processed.png&w=3840&q=75)
Transcribed Image Text:Transcription:
---
**Match the metrics with their corresponding definition.**
1. **TPR/Recall**
[ Choose ]
2. **PPV/Precision**
The ratio of correctly classified predictions over all predictions
The ratio of the positive predictions that were correct over the total number of positive predictions made.
The ratio over the number of negative predictions that were correct over all the true negative class samples.
The ratio over the number of positive predictions that were correct over all the true positive class samples.
3. **TNR/Specificity**
4. **Accuracy**
[ Choose ]
---
The text above is part of an interactive exercise where users can match various performance metrics with their definitions. Each metric, such as TPR/Recall, PPV/Precision, TNR/Specificity, and Accuracy, is provided with a dropdown option to select the corresponding definition. The definitions include details about the calculations for these metrics in the context of predictions and classifications.
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