the training instances? Why or why not? Yes, this will usually result in a better hypothesis regarding the underlying concepts or data distribution. None of the others No, learning a complex decision boundary is likely to lead to overfitting. No, the underlying distributions might overlap. No, some of the Training instances might be mislabeled.

the training instances? Why or why not? Yes, this will usually result in a better hypothesis regarding the underlying concepts or data distribution. None of the others No, learning a complex decision boundary is likely to lead to overfitting. No, the underlying distributions might overlap. No, some of the Training instances might be mislabeled.

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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System Model Approaches

The systems model approach is a process-oriented representation that emphasizes the impact or flow of information between modules. The multidisciplinary study of the use of models to design and create systems in business and IT development is known as systems model approach. It models how processes interact and what these processes do, but it does not go into detail about how these processes are implemented. Functional decomposition may be utilized to enhance the models employed in this technique, and they can be coupled to requirements models for additional system partitioning.

Question

Do we always want to learn a decision boundary that separates all
the training instances? Why or why not?
| Yes, this will usually result in a better hypothesis regarding the
underlying concepts or data distribution.
None of the others
No, learning a complex decision boundary is likely to lead to
overfitting.
No, the underlying distributions might overlap.
No, some of the Training instances might be mislabeled.
Yes, Occam's Razor states that you should pick the simplest
hypothesis that fits the data.
Yes, this will result in the optimal hypothesis regarding the
underlying concepts or data distribution.

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