Does random forest (and, decision tree) require an independent observation assumption?
32548
On the importance of the i.i.d. assumption in statistical learning
153393
Is there a *simple* example showing that uncorrelated random variables need not be independent?
105377
Feature selection with Random Forests
63333
When to Log/Exp your Variables when using Random Forest Models?
139415
Interpretation of Importance score in Random Forest
104438
Random Forest mtry Spit-to-Split Variable Sampling Procedure
30824
Pairwise independence of Random variables does not imply indendence
98728
Random forest is overfitting?
62703
Is Gradient Boosting Regression Tree able to learn linear models
12028
Do we have to tune the number of trees in a random forest?
95663
How to interpret Mean Decrease in Accuracy and Mean Decrease GINI in Random Forest models
151799
Decision tree not using all features from training dataset
19055
Bias of maximum likelihood estimators for logistic regression
69637
Random Forests and data transformations
13076
Is random forest a boosting algorithm?
27143
Detecting significant predictors out of many independent variables
123322
How to make Random Forests more interpretable?