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Machine Learning Multiple Choice Questions (MCQ) Online Test #19

Machine Learning MCQ #181:

What is the purpose of the "bias-variance tradeoff" in machine learning?

About Machine Learning Multiple Choice Question (MCQ) #181:
This ICT Multiple Choice Question (ICT MCQ) #181 focuses on Machine Learning within the "Advanced ICT MCQ" category. This question tests the purpose of the "bias-variance tradeoff" in machine learning.
Machine Learning MCQ #182:

Which algorithm is commonly used for clustering data into groups?

About Machine Learning Multiple Choice Question (MCQ) #182:
This ICT Multiple Choice Question (ICT MCQ) #182 focuses on Machine Learning within the "Advanced ICT MCQ" category. This question tests the knowledge of a commonly used algorithm for clustering data into groups.
Machine Learning MCQ #183:

What is the main advantage of using ensemble methods like Random Forests?

About Machine Learning Multiple Choice Question (MCQ) #183:
This ICT Multiple Choice Question (ICT MCQ) #183 focuses on Machine Learning within the "Advanced ICT MCQ" category. This question tests the main advantage of using ensemble methods like Random Forests.
Machine Learning MCQ #184:

In supervised learning, what is the role of the training dataset?

About Machine Learning Multiple Choice Question (MCQ) #184:
This ICT Multiple Choice Question (ICT MCQ) #184 focuses on Machine Learning within the "Advanced ICT MCQ" category. This question tests the role of the training dataset in supervised learning.
Machine Learning MCQ #185:

What type of problem does a "regression" model solve?

About Machine Learning Multiple Choice Question (MCQ) #185:
This ICT Multiple Choice Question (ICT MCQ) #185 focuses on Machine Learning within the "Advanced ICT MCQ" category. This question tests the type of problem that a "regression" model solves.
Machine Learning MCQ #186:

What does the "confusion matrix" measure in classification problems?

About Machine Learning Multiple Choice Question (MCQ) #186:
This ICT Multiple Choice Question (ICT MCQ) #186 focuses on Machine Learning within the "Advanced ICT MCQ" category. This question tests what the "confusion matrix" measures in classification problems.
Machine Learning MCQ #187:

Which technique is used to handle missing values in a dataset?

About Machine Learning Multiple Choice Question (MCQ) #187:
This ICT Multiple Choice Question (ICT MCQ) #187 focuses on Machine Learning within the "Advanced ICT MCQ" category. This question tests the technique used to handle missing values in a dataset.
Machine Learning MCQ #188:

What does "cross-validation" help to achieve in model evaluation?

About Machine Learning Multiple Choice Question (MCQ) #188:
This ICT Multiple Choice Question (ICT MCQ) #188 focuses on Machine Learning within the "Advanced ICT MCQ" category. This question tests what "cross-validation" helps to achieve in model evaluation.
Machine Learning MCQ #189:

Which algorithm is commonly used for dimensionality reduction?

About Machine Learning Multiple Choice Question (MCQ) #189:
This ICT Multiple Choice Question (ICT MCQ) #189 focuses on Machine Learning within the "Advanced ICT MCQ" category. This question tests the knowledge of a commonly used algorithm for dimensionality reduction.
Machine Learning MCQ #190:

What is "feature engineering" in the context of machine learning?

About Machine Learning Multiple Choice Question (MCQ) #190:
This ICT Multiple Choice Question (ICT MCQ) #190 focuses on Machine Learning within the "Advanced ICT MCQ" category. This question tests what "feature engineering" involves in the context of machine learning.
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  • This online test, titled "Machine Learning Multiple Choice Questions (MCQ) Online Test #19" is designed for individuals at the advanced level and focuses on "Machine Learning". It consists of 10 carefully crafted multiple choice questions (MCQs) with five options each that assess advanced knowledge and understanding of the subject matter. This test aims to help participants evaluate their grasp of key concepts related to "Machine Learning".
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