I've been using sklearn's random forest, and I've tried to compare several models. Then I noticed that random-forest is giving different results even with the s
while using the RandomForestRegressor I noticed something strange. To illustrate the problem, here a small example. I applied the RandomForestRegressor on a tes
For efficient memory utilization, I have used “matrix" package in R to create sparse matrix using code: library(randomForest) library(Matrix) documentTe
iw ould like to get a dataframe of important features. With the code below i have got the shap_values and i am not sure, what do the values mean. In my df are 1