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AI-900: Understanding Predictive Models: The Role of Features in Data Analysis

Discover the significance of features in predictive models and their influence on data predictions. Explore how features act as the data values that shape and impact model outcomes. Gain insights into the importance of identifying and leveraging relevant features to enhance the accuracy and effectiveness of predictive modeling.

Question

Data values that influence the prediction of a model are called _________.

A. Dependant variables.
B. Features.
C. Identifiers.
D. Labels.

Answer

B. Features.

Explanation

The correct answer is B. Features.

Features are individual and independent variables that measure a property or characteristic of the data and act as input to the model. Features influence the prediction of a model by providing information that the model can use to learn the relationship between the input and the output. Choosing informative, discriminating, and independent features is a crucial element of effective algorithms in pattern recognition, classification, and regression.

Dependent variables are the output or outcome variables that the model tries to predict based on the input features. Dependent variables are also called labels or targets in supervised learning.

Identifiers are unique values that identify each data point or record in a dataset. Identifiers are not used as input or output to the model, but rather as a way to reference or index the data.

Labels are the same as dependent variables, meaning the output or outcome variables that the model tries to predict based on the input features. Labels are used in supervised learning, where the data is labeled with the correct output value.

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

Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook

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