How do you use DecisionTreeClassifier and visualize the decision tree using Scikit-learn s plot tree

Question

With the help of proper code can I know How do you use DecisionTreeClassifier and visualize the decision tree using Scikit-learn’s plot_tree?

Answer 1

You can train a DecisionTreeClassifier and visualize the tree using Scikit-learn’s plot_tree to interpret model decisions.

Here is the code snippet you can refer to:

In the above code we are using the following key points:

• DecisionTreeClassifier(max_depth=3) limits tree depth to improve interpretability.
• plot_tree() creates a visual representation of decision splits, showing feature names and class labels.
• filled=True colorizes nodes based on class, improving readability.
• feature_names and class_names add context to the tree structure.

Hence, visualizing decision trees helps understand feature importance and decision paths, making models more transparent and interpretable.