query: can i use random forest for feature selection and then use poisson regression for model fitting?
positive_passages.docid: 47428
positive_passages.text: Can a random forest be used for feature selection in multiple linear regression?
negative_passages.docid: 29443
negative_passages.text: Cross Validation for mixed models?
negative_passages.docid: 54796
negative_passages.text: Choosing between LM and GLM for a log-transformed response variable
negative_passages.docid: 2883
negative_passages.text: Can Tree-based regression perform worse than plain linear regression?
negative_passages.docid: 84565
negative_passages.text: How to select a subset of variables from my original long list in order to perform logistic regression analysis?
negative_passages.docid: 137199
negative_passages.text: Comparing the fit of quasi-Poisson and negative binomial models
negative_passages.docid: 99864
negative_passages.text: Using a regression model to make prediction: When to stop?
negative_passages.docid: 98728
negative_passages.text: Random forest is overfitting?
negative_passages.docid: 87047
negative_passages.text: For model selection/comparison, what kind of test should I use?
negative_passages.docid: 104438
negative_passages.text: Random Forest mtry Spit-to-Split Variable Sampling Procedure
negative_passages.docid: 53735
negative_passages.text: How to do logistic regression subset selection?
negative_passages.docid: 51927
negative_passages.text: Why is Poisson regression used for count data?
negative_passages.docid: 132761
negative_passages.text: independent variables in Random forest model
negative_passages.docid: 90482
negative_passages.text: Random forest regression not predicting higher than training data
negative_passages.docid: 111995
negative_passages.text: Poisson regression for modeling standardized mortality ratio (SMR)
negative_passages.docid: 142959
negative_passages.text: Do we still need to do feature selection while using Regularization algorithms?
negative_passages.docid: 59126
negative_passages.text: When to use Fisher and Neyman-Pearson framework?