A company is developing a new ML model to rank customers in order of their potential to pay back loans. The company needs to use an Amazon SageMaker AI built-in algorithm. Which algorithm should the…

The correct answer is A. XGBoost. XGBoost is a supervised learning algorithm well suited for ranking and prediction tasks on structured tabular data, such as estimating customers’ likelihood of loan repayment, and is available as a built-in algorithm in Amazon SageMaker.

ML Model Development

Question

A company is developing a new ML model to rank customers in order of their potential to pay back loans. The company needs to use an Amazon SageMaker AI built-in algorithm. Which algorithm should the company use to meet these requirements?

Options

AXGBoost
BK-means clustering
CPrincipal component analysis (PCA)
DNeural Topic Model (NTM)

How the community answered

(32 responses)

A
94% (30)
C
3% (1)
D
3% (1)

Explanation

XGBoost is a supervised learning algorithm well suited for ranking and prediction tasks on structured tabular data, such as estimating customers’ likelihood of loan repayment, and is available as a built-in algorithm in Amazon SageMaker.

Topics

#SageMaker Built-in Algorithms#Supervised Learning#XGBoost#Classification/Regression

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