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Part 5 - Exploring the max_features hyper-parameter In this part of the lab you should: • use a for loop to create a random forest model for each value of max_features from 1 to the total number of features in the data; • for each model, use the value for n estimators as determined in Part 4; • evaluate each model on the testing set using MAE; After that you should answer the following questions: Which value of max features gives the best results? · Explain how you decided that this value for max features gave the best results; Was the result here better than the result of Part 37 Why is that? What % better or worse was it?

Part 5 - Exploring the max_features hyper-parameter In this part of the lab you should: • use a for loop to create a random forest model for each value of max_features from 1 to the total number of features in the data; • for each model, use the value for n estimators as determined in Part 4; • evaluate each model on the testing set using MAE; After that you should answer the following questions: Which value of max features gives the best results? · Explain how you decided that this value for max features gave the best results; Was the result here better than the result of Part 37 Why is that? What % better or worse was it?

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Part 5 - Exploring the max_features hyper-parameter In this part of the lab you should: • use a for loop to create a random forest model for each value of max_features from 1 to the total number of features in the data; • for each model, use the value for n estimators as determined in Part 4; • evaluate each model on the testing set using MAE; After that you should answer the following questions: Which value of max features gives the best results? · Explain how you decided that this value for max features gave the best results; Was the result here better than the result of Part 37 Why is that? What % better or worse was it?
Transcribed Image Text:Part 5 - Exploring the max_features hyper-parameter In this part of the lab you should: • use a for loop to create a random forest model for each value of max_features from 1 to the total number of features in the data; • for each model, use the value for n estimators as determined in Part 4; • evaluate each model on the testing set using MAE; After that you should answer the following questions: Which value of max features gives the best results? · Explain how you decided that this value for max features gave the best results; Was the result here better than the result of Part 37 Why is that? What % better or worse was it?
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