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Results tagged with regression
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user 10747
Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.
0
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0
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202
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Concatenating LDA and WordVec vectors into single feature vector vector
I am using two different models, Latent Dirichlet Allocation (LDA) and WordVec, to create feature vectors for document classification. The output of the LDA model is a probability vector, i.e. the com …
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11
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Explain the difference between multiple regression and multivariate regression, with minimal...
I think the key insight (and differentiator) here aside from the number of variables on either side of the equation is that for the case of multivariate regression, the goal is to utilize the fact that … We could, in theory, create two "multiple regression" models, one regressing blood pressure on weight, age, and race, and a second model regressing cholesterol on those same factors. …
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8
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288
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Measuring effects of categorical factors on binomial outcome with many groups
I'd like to do some analysis of shooting efficiency in basketball when a team is leading (AHEAD) or trailing (BEHIND) by less than 8 points and whether they are HOME or AWAY. Here are a few examples o …
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5
votes
1
answer
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Is there something analogous to dropout for classification problems?
Has this been tried for, say, logistic regression with SGD optimization? Any thoughts/opinions appreciated. …
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2
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3
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Should I use training or testing AUC for selecting best classifier?
I am using 10-fold cross-validation to build a classifier (logistic regression). …
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