Is it a good idea to use a linear model (like logistic regression) to generate new features for a non linear model (like random forest)?
103456
Non-perpendicular hyperplane decision trees
88758
machine learning techniques for longitudinal data
91776
Understanding which features were most important for logistic regression
52851
Should I use a machine learning model to calculate propensity score?
20651
Difference between Random forest vs Bagging in sklearn
98895
Discriminant analysis vs logistic regression
98493
How to compute prediction bands for non-linear regression?
153261
Linear kernel and non-linear kernel for support vector machine?
17254
Why use logistic regression instead of SVM?
69831
Obtaining knowledge from a random forest
32234
Reference for random forests
26149
Logistic regression vs. LDA as two-class classifiers
44881
Using lasso for feature selection, followed by a non-regularized regression
81515
Method for generating correlated non-normal data
138321
Intuition behind logistic regression
51084
Won't highly-correlated variables in random forest distort accuracy and feature-selection?
12028
Do we have to tune the number of trees in a random forest?