Use the iris dataset, to implement the decision treeclassifier. Ensure that you explain all results and all visualizations should have clearly labeled axes and a meaningful title.Perform the...

Use the iris dataset, to implement the decision treeclassifier. Ensure that you explain all results and all visualizations should have clearly labeled axes and a meaningful title.

Perform the following:

• (0 pts) Load the data and partition it into a training set and test set




• (3 pts) Build a decision tree classifier to predict the target




• (3 pts) Evaluate the predictions using the test set.




• (4 pts) Visualize the tree. Summarize your findings about the tree's ability to accurately predict this data.

from


sklearn.datasets


import


load_iris


iris


=


load_iris


()


iris

Iris flower data set - Wikipedia