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AI-900: Delivery Service Predictive Analysis Overtime Hours Regression

Explore how predictive regression models forecast delivery person overtime hours based on order volume. Discover the power of regression in anticipating work hours.

Table of Contents

Question

To complete the sentence, select the appropriate option in the answer area.

Predicting how many hours of overtime a delivery person will work based on the number of order received is an example of __________.

A. classification
B. clustering
C. regression

Answer

C. regression

Explanation

In the most basic sense, regression refers to prediction of a numeric target. Linear regression attempts to establish a linear relationship between one or more independent variables and a numeric outcome, or dependent variable. You use this module to define a linear regression method, and then train a model using a labeled dataset. The trained model can then be used to make predictions.

Incorrect Answers:

  • Classification is a machine learning method that uses data to determine the category, type, or class of an item or row of data.
  • Clustering, in machine learning, is a method of grouping data points into similar clusters. It is also called segmentation. Over the years, many clustering algorithms have been developed. Almost all clustering algorithms use the features of individual items to find similar items. For example, you might apply clustering to find similar people by demographics. You might use clustering with text analysis to group sentences with similar topics or sentiment.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump