
No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Building the Model - Project 3 - Customer Churn Prediction
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Information Technology (IT), Architecture
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University
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Practice Problem
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Hard
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5 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the first step in building a model according to the tutorial?
Selecting a trained dataset
Selecting the target column
Previewing the model
Choosing the best model
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of the preview model canvas?
To select the target column
To run different models and find the best fit
To remove unnecessary columns
To finalize the dataset
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does feature importance indicate in a model?
The time taken to build the model
The number of models tested
The significance of each column in making predictions
The accuracy of the model
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a model recipe?
A method to increase model accuracy
A guide to selecting datasets
A list of models tested
A summary of actions taken during model building
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What happens if you remove columns that are not beneficial for prediction?
The model accuracy decreases
The model recipe updates to reflect the changes
The target column changes
The dataset becomes invalid
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