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Classification-Structured (247 results) showing 131 - 140



This post-pandemic Propensity Model determines the probability that a US adult watches eSports Regularly. Lift over Random 2.24. This post-pandemic Propensity model is one of a series of consumer classification models based on data from over 17,000 US adults surveyed in 2021 from Prosper's US Media...

Model Package - Fulfilled on Amazon SageMaker


Pecan was designed to drive business value from AI. Sales and marketing teams use Pecan in order to create actionable AI-based predictions such as conversion, upsell/cross-sell, churn, LTV and others. The Pecan platform is an intuitive platform which doesn't require data-science expertise that...


Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer shops at a specific retailer. Based on a set of basic demographics, the model identifies individuals who are likely to shop at that retailer. The model was trained with data from Prosper's large...

Model Package - Fulfilled on Amazon SageMaker

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A logistic regression model for binary classification on sparse data set like LibSVM without translating the data set into other formats like recordIO. The algorithm scales efficiently across multi-cores on a single AWS EC2 Instance out of the box.

Algorithm - Fulfilled on Amazon SageMaker


This post-pandemic Propensity Model determines the probability that a US adult has Arthritis. Lift over Random 1.85. This post-pandemic Propensity model is one of a series of consumer classification models based on data from over 17,000 US adults surveyed in 2021 from Prosper's US Media Behaviors &...

Model Package - Fulfilled on Amazon SageMaker


Patient no-shows for scheduled appointments is a significant challenge for healthcare providers. Patient no-shows leads to inefficient utilization of scarce healthcare resources and service quality risks. This solution predicts the likelihood of patient no-shows, based on patients’ appointment and...

Model Package - Fulfilled on Amazon SageMaker


This post-pandemic Propensity Model determines the probability that a US adult uses Marijuana Edibles. Lift over Random 1.54. This post-pandemic Propensity model is one of a series of consumer classification models based on data from over 17,000 US adults surveyed in 2021 from Prosper's US Media...

Model Package - Fulfilled on Amazon SageMaker


Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult is For or Against a political issue. Based on a set of basic demographics, the model identifies individuals who are likely to be For or Against a specific issue. The model was trained with data from Prosper's...

Model Package - Fulfilled on Amazon SageMaker


Flight delays could cause airlines to incur financial losses in the form of accommodation expenses for the delayed passengers as well as penalties, fines, and operational costs for aircraft labor retention at airports. Furthermore, continual unexpected delays could cause the airline to lose their...

Algorithm - Fulfilled on Amazon SageMaker


This Pandemic Propensity Model determines the probability that a US adult is Comfortable at Casinos & Racetracks. Lift over Random 1.22 This Pandemic Propensity model is one of a series of consumer classification models based on data from over 31,000 US adults surveyed between April to July 2020...

Model Package - Fulfilled on Amazon SageMaker