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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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… 4/7 Selected Answer: Answers: random forests generate model scores neural nets require only 2 datasets regression models require only 2 datasets random forests generate model scores all of the above none of the above Question 8 Selected Answer: Answers: The following is true R2 could be used to explain a logistic model output R2 could be used to explain a logistic model output confusion matrix could be used to evaluate the performance of a multiple regression model predicting income accuracy rates are the most important performance metric in consumer behaviour predictive models all of the above none of the above Question 9 Selected Answer: Answers: The following is true all of the above stepwise regression is a form of machine learning factor analysis is a form of machine learning 1 out of 1 points 0 out of 1 points
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… 5/7 exploratory data analysis is a form of machine learning all of the above none of the above Question 10 Selected Answer: Answers: Neural net modelling or AI modelling is completely dependant on the machine and algorithm. false true false Question 11 Selected Answer: Answers: In selecting model variables using stepwise regression b and c the practitioner can use p-values as one option the practitioner can use drop-off rates as one option the practitioneer can use forward stepwise regression as one option b and c a and c Question 12 Selected Answer: The following is true backward stepwise is another stepwise regression option 1 out of 1 points 0 out of 1 points 1 out of 1 points
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… 6/7 Answers: backward stepwise is another stepwise regression option The least squares value in a perfect regression model would be 1. random forests are built on a development sample and then validated against a validation dataset all of the above none of the above Question 13 Selected Answer: Answers: The following is true gradient boosting is another form of decision-tree modelling In developing models,modelling techniques are applied right after the creation of the analytical file gradient boosting is another form of decision-tree modelling Selection of the modelling technique is the most important element in building models all of the above none of the above Question 14 Selected Answer: Answers: The following is true all of the above modelling weights or coefficients are determined by its impact on the target variable modelling weights or coefficients are determined by multicollineaarity. modelling weights or coefficients are determined by the scale or magnitude of the given variable all of the above 1 out of 1 points 1 out of 1 points
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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… 7/7 Tuesday, March 28, 2023 11:44:39 PM EDT none of the above Question 15 Selected Answer: Answers: Multicollinearity is a serious problem when a model variable has a di erent trend than observed in correlation false true false OK 0 out of 1 points