Question: Confusion Matrix ( Accuracy 0 . 7 7 4 5 ) Q 9 - 4 . What can you say about the predictive performance of

Confusion Matrix (Accuracy 0.7745)Q9-4. What can you say about the predictive performance of the model?
In []: the data is still overfilling, but the numbers did become smaller. However this model does generalize better than tne tu11 class
Q9-5. Express the resulting small tree as a set of rules for the bottom right-most leaf (terminal) node.
In []:
Q9-6. Compute the GINI impurity index for the same leaf node. Show the steps of your calculations.
In []:
Q10-1. Using the same training dataset, fit a classification tree using a tree with a maximum depth =3 and criterion = 'gini'. Visualize the output tree using export_graphviz .
Plz help me answer Q9-5 and Q9-6
Confusion Matrix ( Accuracy 0 . 7 7 4 5 ) Q 9 - 4

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