QUIZ BAn 210

.docx

School

Seneca College *

*We aren’t endorsed by this school

Course

21O

Subject

Electrical Engineering

Date

Apr 3, 2024

Type

docx

Pages

7

Uploaded by LieutenantCloverBison35

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3/28/23, 11:45 PM Review Test Submission: rb1paquiz5_mar27 – Predictive ... https://learn.senecacollege.ca/ultra/courses/_681650_1/cl/outline?legacyUrl=~2Fwebapps~2Fblackboard~2Fcontent~2FlaunchAssessment.jsp%3Fcourse_id%3D_681650_1%26content_id%3D_16952… 1/7
3/28/23, 11:45 PM Review Test Submission: rb1paquiz5_mar27 – Predictive ... https://learn.senecacollege.ca/ultra/courses/_681650_1/cl/outline?legacyUrl=~2Fwebapps~2Fblackboard~2Fcontent~2FlaunchAssessment.jsp%3Fcourse_id%3D_681650_1%26content_id%3D_16952… 2/7 Question 2 Selected Answer: Answers: The following is true. In neural net modelling, users can input di erent optimization techniques Overfitting is more of a problem with regression techniques than neural net techniques In neural net modelling, users can input different optimization techniques traditional models work better than neural net models in image applications all of the above none of the above Question 3 Selected Answer: Answers: The following is true Drop o rates help models to generalize well Drop off rates help models to generalize well bias and variance are only real issues with AI or neuural net models correlation output is a form of machine learning all of the above none of the above Question 4 Selected Answer: Answers: The following is true all of the above least squares is used primarily in AI. out of 1 points 1 1 out of 1 points out of 1 points 0
3/28/23, 11:45 PM Review Test Submission: rb1paquiz5_mar27 – Predictive ... https://learn.senecacollege.ca/ultra/courses/_681650_1/cl/outline?legacyUrl=~2Fwebapps~2Fblackboard~2Fcontent~2FlaunchAssessment.jsp%3Fcourse_id%3D_681650_1%26content_id%3D_16952… 3/7 least squares is used in cluster segmentation least squares is used in factor analysis all of the above none of the above Question 5 Selected Answer: Answers: Least squares is the concept in attempting to minimize randomness in a model true true false Question 6 Selected Answer: Answers: The following is true stepwise regression is a model variable selection technique stepwise regression is a model variable selection technique factor analysis in theory can be used as a model variable selection technique EDA's can be used to create new variables all of the above none of the above Question 7 The following is true 1 out of 1 points 0 out of 1 points 0 out of 1 points
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