Contents
How many features are there in random forest?
Again, from the Random Forests paper: When many of the variables are categorical, using a low [number of features] results in low correlation, but also low strength. [The number of features] must be increased to about two-three times int(log2M+1) to get enough strength to provide good test set accuracy.
What are the limitations of random forest?
The main limitation of random forest is that a large number of trees can make the algorithm too slow and ineffective for real-time predictions. In general, these algorithms are fast to train, but quite slow to create predictions once they are trained.
Why is random forest better than linear regression?
If the dataset contains features some of which are Categorical Variables and some of the others are continuous variable Decision Tree is better than Linear Regression,since Trees can accurately divide the data based on Categorical Variables.
How many observations are needed for a random forest?
I have a dataset with many variables but only 25 observation each. Random forests produce reasonable results with low OOB errors (10-25%). Is there any rule of thumb regarding the minimum number of observations to use?
How to calculate Sample Size in random forest?
Sampling method: Observations are chosen randomly and may occur only once or several times in the sample. Sample size: Enter the size k of the sample to generate for the tree’s construction. Number of trees: Enter the desired number of trees q in the forest.
How to find minimum number of trees for random forest classifier?
I am searching for a theoretical or experimental estimation of the lower bound for the number of trees in a Random Forest classifier. I usually test different combinations and select the one that (using cross-validation) provides the median best result.
Is there a rule of thumb for minimum number of observations?
Random forests produce reasonable results with low OOB errors (10-25%). Is there any rule of thumb regarding the minimum number of observations to use? In fact one of the response variable is unbalanced, and if I’m going to subsample it I will end up with an even smaller number of observations.