Answer:
Theoretically Yes
Explanation:
The data given is linearly separable. So, the subset of the data will also be linearly separable. And it will pass for all training dataset. However, you should definitely never expect such thing In any real-life problem because the data is noisy, for a bazilion of reasons, so no model is guaranteed to perform perfectly.
The window that shows instructions for a lab activity is known as the Cisco Packet Tracer Activity window.
<h3>What is Packet Tracer activity?</h3>
Cisco Packet Tracer is known to be a form of a comprehensive networking technology that is made for lecture and it is also a learning tool that gives a kind of a special combination that are made up of realistic simulation and visualization experiences as well as assessment, activity authoring capabilities, and others.
Hence, The window that shows instructions for a lab activity is known as the Cisco Packet Tracer Activity window.
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I'm gonna say D. No sentence error
Answer:
Evidence based decision-making
Explanation:
Evidence-based decision-making uses research as the backbone for making decisions. It ensures that proper investigations are done before any decision is made.
This decision making technique carries out an in-depth analysis of empirical data collected from targeted sources. The decisions made are based on the following type of evidence:
- Ethical evidence: research based on social justice to guide in making ethical decisions.
- Statistical modeling: using regression methods to make decisions in organizations.
- Impact evidence: making investigations based on the impact on others.
- Implementation evidence: considering the implementation and delivery success, after proper investigation.
L.L. Bean works with the records of how quick customers make decisions and whether they complete their purchase. This means that they suggest solutions based on the evidence retrieved from the data.