This post-pandemic Propensity Model determines the probability that a US adult has Insomnia. Lift over Random 3.73. 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
This post-pandemic Propensity Model determines the probability that a US adult uses TikTok Regularly. Lift over Random 2.11. 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
This Pandemic Propensity Model determines the probability that a US adult is Cancelling Vacation Travel. Lift over Random 1.28 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 from...
Model Package - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult watches Religious Programs. Lift over Random 1.47. 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...
Model Package - Fulfilled on Amazon SageMaker
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
Customer churn refers to the loss of existing clients or customers. This solution identifies bank customers who are more likely to close their account and leave the bank. During the training stage, the solution automatically conducts feature interaction on the training data and selects a subset of...
Algorithm - Fulfilled on Amazon SageMaker
This solution utilizes an Autoencoder model to learn and understand the data distribution which can fill in missing values once trained. Its objective is to classify the events based on the patterns and observations collected for data from multiple sensors. In production, the solution can handle...
Algorithm - Fulfilled on Amazon SageMaker
Membership inference attacks (MIA) can be staged just by observing the output of the model while having access to some datapoints of training data. MIA attack is a blackbox attack and does not need access to model's parameters. Such ML attacks can result in severe losses and cause security...
Algorithm - Fulfilled on Amazon SageMaker
Prosper Insights & Analytics' propensity model predicts the probability that a China adult consumer enjoys a specific leisure time activity. Based on a set of basic demographics, the model identifies individuals who are likely to participate in the activity. The model was trained with data from...
Model Package - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult is a Disney Viewer. Lift over Random 1.43. 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
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