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Amazon Sagemaker

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

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Prosper Propensity: Use Uber Regularly

By:
Prosper Insights & Analytics
Propensity model that determines the probability that a US consumer uses Uber regularly
  • This product has been removed and is no longer available to new customers.

Product Overview

Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer uses Uber regularly. Based on a set of basic demographics, the model identifies individuals likely to use Uber. The model was trained with data from Prosper's large Media Behaviors & Influence (MBI) study (N=16,619).

Key Data

By
Prosper Insights & Analytics
Categories
ML Solutions
Classification-Structured
Media & Entertainment
Type
Model Package
Fulfillment Methods
Amazon SageMaker

Highlights

  • Enhances digital and offline targeting by identifying US individuals likely to be an Uber user. Propensity scores can be used to make your marketing spend more effective by focusing on consumers with a high propensity. Key Metrics: Accuracy=.89 AUC=.78 Lift over random=3.37

  • 100% Privacy Compliant Models. No PII Used.

  • Based on unique large sample US consumer survey data (N=16,619).

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