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Machine Learning Multiple Choice Questions (MCQ) Online Test #18

Machine Learning MCQ #171:

What is the primary goal of unsupervised learning in machine learning?

About Machine Learning Multiple Choice Question (MCQ) #171:
This ICT Multiple Choice Question (ICT MCQ) #171 focuses on Machine Learning within the "Advanced ICT MCQ" category. This question tests the primary goal of unsupervised learning in machine learning.
Machine Learning MCQ #172:

Which of the following is a common technique for dimensionality reduction?

About Machine Learning Multiple Choice Question (MCQ) #172:
This ICT Multiple Choice Question (ICT MCQ) #172 focuses on Machine Learning within the "Advanced ICT MCQ" category. This question tests the knowledge of a common technique for dimensionality reduction.
Machine Learning MCQ #173:

In a decision tree algorithm, what is a "leaf node"?

About Machine Learning Multiple Choice Question (MCQ) #173:
This ICT Multiple Choice Question (ICT MCQ) #173 focuses on Machine Learning within the "Advanced ICT MCQ" category. This question tests the understanding of what a "leaf node" represents in a decision tree algorithm.
Machine Learning MCQ #174:

What is a common method to prevent overfitting in machine learning models?

About Machine Learning Multiple Choice Question (MCQ) #174:
This ICT Multiple Choice Question (ICT MCQ) #174 focuses on Machine Learning within the "Advanced ICT MCQ" category. This question tests a common method used to prevent overfitting in machine learning models.
Machine Learning MCQ #175:

What does "cross-validation" help to estimate in a machine learning model?

About Machine Learning Multiple Choice Question (MCQ) #175:
This ICT Multiple Choice Question (ICT MCQ) #175 focuses on Machine Learning within the "Advanced ICT MCQ" category. This question tests what cross-validation helps to estimate in a machine learning model.
Machine Learning MCQ #176:

What type of machine learning problem involves predicting categorical outcomes?

About Machine Learning Multiple Choice Question (MCQ) #176:
This ICT Multiple Choice Question (ICT MCQ) #176 focuses on Machine Learning within the "Advanced ICT MCQ" category. This question tests the type of machine learning problem that involves predicting categorical outcomes.
Machine Learning MCQ #177:

Which machine learning technique is used for anomaly detection?

About Machine Learning Multiple Choice Question (MCQ) #177:
This ICT Multiple Choice Question (ICT MCQ) #177 focuses on Machine Learning within the "Advanced ICT MCQ" category. This question tests the machine learning technique used for anomaly detection.
Machine Learning MCQ #178:

In neural networks, what is the role of an activation function?

About Machine Learning Multiple Choice Question (MCQ) #178:
This ICT Multiple Choice Question (ICT MCQ) #178 focuses on Machine Learning within the "Advanced ICT MCQ" category. This question tests the role of an activation function in neural networks.
Machine Learning MCQ #179:

What is "ensemble learning" in machine learning?

About Machine Learning Multiple Choice Question (MCQ) #179:
This ICT Multiple Choice Question (ICT MCQ) #179 focuses on Machine Learning within the "Advanced ICT MCQ" category. This question tests the understanding of "ensemble learning" in machine learning.
Machine Learning MCQ #180:

Which metric is commonly used to evaluate the performance of a regression model?

About Machine Learning Multiple Choice Question (MCQ) #180:
This ICT Multiple Choice Question (ICT MCQ) #180 focuses on Machine Learning within the "Advanced ICT MCQ" category. This question tests the commonly used metric to evaluate the performance of a regression model.
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  • This online test, titled "Machine Learning Multiple Choice Questions (MCQ) Online Test #18" 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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