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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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Propensity US: Have Heart Disease

Latest Version:
1.1.0
Propensity model that determines the probability that a consumer has Heart Disease.

    Product Overview

    Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer has a specific health condition. Based on a set of basic demographics, the model identifies individuals who are likely to have the health condition. The model was trained with data from Prosper's large Media Behaviors & Influence (MBI) study (N=16,619). For additional guidance and reference information on SageMaker pricing and model deployment, please see: https://aws.amazon.com/sagemaker/pricing/ https://aws.amazon.com/s3/pricing/ https://docs.aws.amazon.com/sagemaker/latest/dg/how-it-works-deployment.html https://docs.aws.amazon.com/sagemaker/latest/dg/how-it-works-batch.html

    Key Data

    Highlights

    • Enhances digital and offline targeting by identifying individuals our likely to have a specific health condition.

    • 100% Privacy Compliant Models. No PII Used. HIPAA compliant.

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

    Not quite sure what you’re looking for? AWS Marketplace can help you find the right solution for your use case. Contact us

    Pricing Information

    Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.

    Contact us to request contract pricing for this product.


    Estimating your costs

    Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.

    Version
    Region

    Software Pricing

    Model Realtime Inference$1.00/hr

    running on ml.m4.xlarge

    Model Batch Transform$500.00/hr

    running on ml.m4.xlarge

    Infrastructure Pricing

    With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
    Learn more about SageMaker pricing

    SageMaker Realtime Inference$0.24/host/hr

    running on ml.m4.xlarge

    SageMaker Batch Transform$0.24/host/hr

    running on ml.m4.xlarge

    Model Realtime Inference

    For model deployment as Real-time endpoint in Amazon SageMaker, the software is priced based on hourly pricing that can vary by instance type. Additional infrastructure cost, taxes or fees may apply.
    InstanceType
    Realtime Inference/hr
    ml.m4.4xlarge
    $1.00
    ml.m4.2xlarge
    $1.00
    ml.m5.24xlarge
    $1.00
    ml.m5.12xlarge
    $1.00
    ml.m4.xlarge
    Vendor Recommended
    $1.00

    Usage Information

    Model input and output details

    Input

    Summary

    The model provides propensity estimates based on gender, age range, income range, and zip code. See the sample notebook for details concerning input variables and mappings.

    Input MIME type
    text/csv
    Sample input data
    1,5,24,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0

    Output

    Summary

    The probability that the person has the target attribute.

    Output MIME type
    text/csv
    Sample output data
    0.525400102138519

    End User License Agreement

    By subscribing to this product you agree to terms and conditions outlined in the product End user License Agreement (EULA)

    Support Information

    Propensity US: Have Heart Disease

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    AWS Infrastructure

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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    Refund Policy

    No refunds.

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