Model Properties

• Tree Depth:Depth of the tree can indicate model complexity.
• Splits and Leaves:Number of splits and leaves will show how the classifier has partitioned the data.

True Label Actual 1 Actual 0 Actual 2 22 36 Predicted 0 Confusion Matrix 10 4 23 2 2 21 | ! Predicted 1 Predicted 2 Predicted Label | # Get the original string class names from the fitted label encoder # This was handled earlier by storing original satisfaction classes # original class names = label encoders['Your level of satisfaction in Online Education'].classes_ # No longer tree.plot_tree(clf, filled=True, feature_names=X.columns, class_names=original satisfaction classes) # Use the plt.show()