As stated in the title, I’m confused by the k-folding approach in GridSearchCV which allows you to specify its cv attribute as the number of folds. Howeve
My goal it to force some feature used firstly to split tree. Below, the function spltted tree using feature_3 first. For instance, is there a way to force to us
I have taken a house price dataset. I have run the following code: import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns
The puzzle I can't interpret the values in the leaves of a CatBoostRegressor tree. The fitted model correctly captures the logic of the dataset, but the scale
I have this function to build ID3 decision tree: def buildTree(df,tree=None): Class = df.keys()[-1] #To make the code generic, changing target vari
I built a random forest by RandomForestClassifier and plot the decision trees. What does the parameter "value" (pointed by red arrows) mean? And why the sum of
I'm trying to make a single variable regression using decision tree regression. However when I'm plotting the results. Multiple lines show in the plot just like
Is there a way I can attach some sort of confidence with my predictions from Decision Tree Regression output in python? from sklearn.tree import DecisionTreeR
When I plot my sklearn decision tree using sklearn.tree.plot_tree(), the nodes are overlapping on the deeper levels and I cannot read what is in the nodes. It i
I'm reading about decision trees and bagging classifiers, and I'm trying to show the first decision tree that is used in the bagging classifier. I'm confused a
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