Question: Confusion Matrix ( Accuracy 0 . 7 7 4 5 ) Q 9 - 4 . What can you say about the predictive performance of
Confusion Matrix Accuracy Q 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 tu class
Q Express the resulting small tree as a set of rules for the bottom rightmost leaf terminal node.
In :
Q Compute the GINI impurity index for the same leaf node. Show the steps of your calculations.
In :
Q Using the same training dataset, fit a classification tree using a tree with a maximum depth and criterion 'gini'. Visualize the output tree using exportgraphviz
Plz help me answer Q and Q
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