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1 vote
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Pre-process classification data according to ‘amount of evidence’

I have an area which is divided into polygons of different sizes. Each polygon has the same associated features/predictors and I know whether something occurs within the polygon or not. If something ...
cs0815's user avatar
  • 2,225
4 votes
1 answer
837 views

Weights of radial basis function networks

If I use radial basis function networks (RBFNs) for probability estimation by plugging the output of the RBFNs into the Logistic function are weights between 0 and 1 sufficient?
cs0815's user avatar
  • 2,225
2 votes
1 answer
331 views

What is the rationale for using scoring methods after logistic regression?

I generally come across scoring in logistic modeling (also other methods like discriminant analysis, etc.). I want to know what is the use of scoring of individuals after running a logistic ...
Beta's user avatar
  • 6,466
1 vote
2 answers
622 views

How to predict shares?

Lets say I know what is the overall budget for some units and I want to predict share of budget each unit will get. I have historical data and could do regression analysis. Is it better to predict ...
acroa's user avatar
  • 43
4 votes
1 answer
4k views

Weight variables for predictive model

I received a question today that I wasn't exactly sure how to answer. I have built a predictive model using a fairly basic logistic regression that works pretty well and fits our business needs. ...
Btibert3's user avatar
  • 1,344
59 votes
6 answers
19k views

Alternatives to logistic regression in R

I would like as many algorithms that perform the same task as logistic regression. That is algorithms/models that can give a prediction to a binary response (Y) with some explanatory variable (X). ...

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