No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Building and Using the Model for Prediction - Project 2 - S

The video tutorial guides viewers through the process of creating an SMS spam detection model using SageMaker Canvas. It covers naming the model, selecting the appropriate data set, and building the model by choosing a target column. The tutorial explains how SageMaker Canvas predicts the model type and provides a preview of the model's accuracy. It also discusses the creation of the model, the time it takes, and the advanced metrics available, such as F1 score, precision, and recall. The video concludes with a brief mention of the next steps for using the model to predict test data.

What is the first step in building the SMS spam detection model?

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What is the target column in the spam SMS detection model?

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What is the estimated accuracy of the model mentioned in the text?

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What advanced metrics are mentioned for evaluating the model's performance?

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What is the next step after the model is ready according to the text?

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