Classification algorithms that are based on vector spaces are not always the ideal option to take into account when it comes to issue sets that are specified over exclusively nominal feature sets. Which of the aforementioned claims do you agree with the most firmly, and which do you strongly disagree with? Which approach would you use if you were applying ML classification on nominal data? Please respond in full to the two inquiries that were stated in the preceding clause.

Classification algorithms that are based on vector spaces are not always the ideal option to take into account when it comes to issue sets that are specified over exclusively nominal feature sets. Which of the aforementioned claims do you agree with the most firmly, and which do you strongly disagree with? Which approach would you use if you were applying ML classification on nominal data? Please respond in full to the two inquiries that were stated in the preceding clause.

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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When it comes to problem sets that are described over entirely nominal feature sets, classification algorithms that are based on vector spaces are not always the best choice to consider. Which of the above statements do you most strongly agree with and which do you most strongly disagree with? If you were implementing ML classification on nominal data, which technique would you decide to use? Please provide detailed replies to both of the questions that have been posed in the previous sentence.
When it comes to problem sets that are described over entirely nominal feature sets, vector space-based classification algorithms are not always the best option to consider. Which of the following statements most strongly agree with you, and which most strongly disagree with you? Which technique would you use if you were implementing ML classification on nominal data? Please provide detailed responses to both of the questions posed in the preceding sentence.
For problem sets that are given over strictly nominal feature sets, classification algorithms based on vector spaces are frequently not acceptable solutions. Where do you stand on this issue? In ML classification, when dealing with nominal data, which approach would you use? Give detailed explanations in answer to both of the inquiries made.
For problem sets that are given over strictly nominal feature sets, classification algorithms based on vector spaces are frequently not acceptable solutions. How strongly do you agree or disagree with this statement? If you were doing ML classification on nominal data, which approach would you use? Please respond to both of the questions posed above with detailed explanations.
Classification approaches based on vector spaces are often ineffective for problem sets with only nominal feature sets. How much do you agree or disagree with the above statement? Which approach would you use if doing ML classification on nominal data? Provide precise replies to both of the preceding questions.
Classification methods based on vector spaces are not always the best bet for problems that are stated over purely nominal feature sets. How much do you agree or disagree with this statement? If you were doing ML classification on nominal data, which method would you use? Please respond to both of the questions posed above with detailed explanations.
For problem sets that only include nominal features, vector space classification algorithms often fail. Do you agree or disagree with the assertion? What is the best approach for using ML to label nominal data? Give detailed responses to the questions asked above.
The problem sets that are given over entirely nominal feature sets are often not excellent candidates for classification approaches that are based on vector spaces. What percentage of the aforementioned statement do you agree or disagree with? Which technique would you use if you were doing ML classification on nominal data? Answer both of the aforementioned questions with clear details.
For problem sets with purely nominal feature sets, vector space classification methods are generally unsuitable. Do you agree or disagree? Which approach would you use for ML classification on nominal data? Give precise answers to both questions above?
Vector space-based classification methods tend to be poor choices for problem sets definedover purely nominal feature sets. Do you agree or disagree with this statement? What would be yourmethod of choice for ML classification on nominal data? Explain both the above questions in details?
Vector space-based classification methods tend to be poor choices for problem sets definedover purely nominal feature sets. Do you agree or disagree with this statement? What would be yourmethod of choice for ML classification on nominal data?
Is there a benefit to using the Vector Space Model (VSM) rather than the Latent Semantic Analysis (LSA)? Justify.