Train and Apply Decision Tree Model
First, data is loaded from Excel files for both training and prediction. The main dataset is split into training and test sets. A Decision Tree model is trained using the training data. This model is then used to predict outcomes on the test set, and its accuracy is evaluated. Separately, the model is also applied to a new dataset to generate predictions for reporting purposes.
