To construct a Decision Tree for Exam_Results data and classify it.

Constructing a decision tree for Exam_Results data involves several steps. Firstly, you need to gather the dataset containing attributes like student's study hours, attendance, previous grades, etc., along with the corresponding exam results (pass/fail). Then, follow these steps:

1. Data Preprocessing: Handle missing values, encode categorical variables, and normalize numerical features if necessary.

2. Split Data: Divide the dataset into training and _____ ___ ___ ___ ____.
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