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Consider the following table containing the actual outputs (labels) and the corresponding predictions of a Regression model: Actual output, y Prediction, ŷ 5.2 7.1 9.5 8.6 3.6 2.5 11.7 13.1 8.4 9.2 a. What do you understand by the term "Performance Metric"? Mention and explain some of the performance metrices that are commonly used in case of a Regression problem. b. For the given data table, analyze the different performance metrices for the Regression model.

Consider the following table containing the actual outputs (labels) and the corresponding predictions of a Regression model: Actual output, y Prediction, ŷ 5.2 7.1 9.5 8.6 3.6 2.5 11.7 13.1 8.4 9.2 a. What do you understand by the term "Performance Metric"? Mention and explain some of the performance metrices that are commonly used in case of a Regression problem. b. For the given data table, analyze the different performance metrices for the Regression model.

Database System Concepts
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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Consider the following table containing the actual outputs (labels) and the corresponding predictions of a Regression model: Actual output, y Prediction, ŷ 5.2 7.1 9.5 8.6 3.6 2.5 11.7 13.1 8.4 9.2 a. What do you understand by the term "Performance Metric"? Mention and explain some of the performance metrices that are commonly used in case of a Regression problem. b. For the given data table, analyze the different performance metrices for the Regression model.
Transcribed Image Text:Consider the following table containing the actual outputs (labels) and the corresponding predictions of a Regression model: Actual output, y Prediction, ŷ 5.2 7.1 9.5 8.6 3.6 2.5 11.7 13.1 8.4 9.2 a. What do you understand by the term "Performance Metric"? Mention and explain some of the performance metrices that are commonly used in case of a Regression problem. b. For the given data table, analyze the different performance metrices for the Regression model.
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