All Questions
5 questions
3
votes
2
answers
538
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Variable selection in logistic regression [duplicate]
So I'm trying to make a multivariate logistic regression model in R studio. I'm not sure how to go about this. What seemed to make sense to me was to model every predictor against the response ...
- 126
0
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0
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20
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Was approaching this as a classification problem a mistake and should I have to use regression instead?
So I am training a model to predict baseball plate appearance outcomes, which I have been modelling as a single multi-class output problem, namely because single, mutually exclusive outcomes is what ...
3
votes
1
answer
175
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Best practise for model selection when building predictive models?
What is the best practise when it comes to choosing how many models to evaluate when building a predictive model? It seems there are countless possibilities so I'm not sure how one chooses where to ...
- 893
3
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0
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169
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Choosing the best model to predict second hand widget prices
I am looking for some thoughts on how best to approach a dataset and pick the right model for predicting the second hand price of widgets.
Some background on the properties of these widgets:
The ...
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-14
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1
answer
2k
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Finding the best two predictor variables used conjointly, and levels of each [closed]
Twenty possible predictor variables in data set. One outcome variable.
Some of the predictor variables are not linear. So a standard linear multiple regression approach probably won't do. (And I do ...
- 141