Jun 28, 2018 · This paper analyzes two uplift modeling approaches to linear regression, one based on the use of two separate models and the other based on ...
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This paper analyzes two uplift modeling approaches to linear regression, one based on the use of two separate models and the other based on target variable ...
Jun 28, 2018 · Abstract. The purpose of statistical modeling is to select targets for some action, such as a medical treatment or a marketing campaign.
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In this chapter we will present a model for predicting the time remaining for patients after a diagnosis of colon cancer of medium stage (B/C).
As in all regression-based modeling, an issue in uplift modeling is the ease of interpretation of the results. The model becomes harder to interpret when ...
It focuses on building regression models adapted for uplift; it proposes two distinct methods for quantization and visualization of continuous variables; and it ...
Linear regression for uplift modeling. https://doi.org/10.1007/s10618-018-0576-8 · Full text. Journal: Data Mining and Knowledge Discovery, 2018, № 5, p. 1275 ...
Jun 28, 2018 · This paper analyzes two uplift modeling approaches to linear regression, one based on the use of two separate models and the other based on ...
Apr 25, 2024 · Explore evaluation methods for uplift models, including uplift curves, fractional lift, gain curves, and expected response curves.
Uplift modeling is used to order the individuals with respect to the value of a causal effect, e.g., positive, neutral, or negative. Though there are some ...