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Predictive models are statistical models whose primary purpose is to predict other observations of a system optimally, as opposed to models whose purpose is to test a particular hypothesis or explain a phenomenon mechanistically. As such, predictive models place less emphasis on interpretability and more emphasis on performance.

17
votes
1answer
I have two groups of subjects, A, and B, each with a size of approximately 400, and about 300 predictors. My goal is to build a prediction model for a binary response variable. My customer wants to s …
asked Aug 2 '12 by user765195
6
votes
2answers
I have about 400 pieces of silver of different geometric dimensions. They were assigned to six groups and each group went through a series of stress tests, such as bending, pulling, putting in fire fo …
asked Mar 16 '12 by user765195
2
votes
1answer
I'm building a predictive model for a medical condition that happens in both men and women. Physicians have reported that in some cases for women, their menstrual history seems to be a risk factor, th …
asked Nov 17 '12 by user765195
6
votes
1answer
I have a logistic regression model for 0/1 binary response data that is built from samples $(x_1,Y_1),\dots,(x_m,Y_m)$, where $x_1,\dots,x_m$ are, fixed, nonrandom, real values and $Y_1,\dots,Y_m$ are …
asked Oct 8 '12 by user765195