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Questions - decision-tree

Building a Random Forest Classifier with equal output probabilities to a Decision Tree Classifier

I have been trying to build a RandomForestClassifier() (RF) model and a DecisionTreeClassifier() (DT) model in order to get the same output (only for learning purposes). I have found some questions wi...
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Chris

python

machine-learning

scikit-learn

random-forest

decision-tree

Votes: 0

Answers: 1

Latest Answer

It appears to be due to random states, despite your best efforts. For the random forest to be effective at its randomization, it needs to provide each component decision tree with a different random ...
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Ben Reiniger

How to plot the DecisionTree out of a SkLearn Pipeline?

So I am working on a decision tree within a SkLearn Pipeline. The model works fine. However, I am not able to plot the decision tree. I am not sure which object to use by calling the .plot method. Her...
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barneestinson

python

scikit-learn

decision-tree

Votes: 0

Answers: 1

Latest Answer

From this: Getting model attributes from pipeline I think, tree.plot_tree(pipeline['base']) will work
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Dmitry

C4.5:When to stop growing tree?

I have a dataset include 10 continuous attributes and 500 cases. When I growing a decision tree, I got a problem: when to stop growing tree? This is a tree that I build in java with c4.5, in attribute...
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hua

java

decision-tree

c4.5

Votes: 0

Answers: 0

Having trouble calculating mean squared error in sklearn python

I am trying to fit a decision tree regressor to a dataset, and it is working but when I test it out by calculating mean squared error. I get an error that looks like this: msee = mse(x_test, y_test) ...
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Jensen_ray

python

numpy

scikit-learn

decision-tree

Votes: 0

Answers: 1

Latest Answer

from the documentation: Parameters y_true array-like of shape (n_samples,) or (n_samples, n_outputs) Ground truth (correct) target values. y_pred array-like of shape (n_samples,) or (n_samples, n_out...
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warped

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