$.(8$ points$)$ Train a decision tree model based on the data:

a$.$ The features are $$Weather$,$Just Ate$,$ and $$Work Late$.$

b$.$ The target is $$Will Exercise?$$

c$.$ The decision tree will predict whether the person will go out for exercise based on the

features.

d$.$ The Scikit$-$Learn Decision Tree model can only take numerical data, so you will need

to use one$-$hot encoding to convert the original data to zero and one.

e$.$ Train the model with Gini impurity measurement

f$.$ Don$$t limit the maximum depth of the tree.

$4.(2$ points$)$ Display the decision tree.

$5.(1$ point$)$ Display the prediction result with the following input:

Weather: Sunny

Just Ate: yes

Work Late: yes