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Variable Selection in Predictive Modeling: Does it Really Matter
Variable Selection in Predictive Modeling: Does it Really Matter A discussion about how many models can address the over fitting issues caused by too many variables by regularization, variable ...Description: A discussion about how many models can address the over fitting issues caused by too many variables by regularization, variable selection is still meaningful.
Hide- Authors: Kailan Shang
- Date: Jun 2017
- Competency: External Forces & Industry Knowledge>Actuarial methods in business operations
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Predictive Analytics
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Modelling Process
Modelling Process An introduction of predictive modeling techniques that are applicable to insurance industry, including generalized linear model (GLM) and classification and regression tree ...Description: An introduction of predictive modeling techniques that are applicable to insurance industry, including generalized linear model (GLM) and classification and regression tree model(CART). Other models such as data clustering, neural network, and support vector machine (SVM), are also briefly discussed.
Hide- Authors: Qichun Xu
- Date: Dec 2013
- Competency: Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Problem analysis and definition
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Modeling & Statistical Methods>Data mining; Modeling & Statistical Methods>Regression analysis; Predictive Analytics