(Best Essay Writers) 2. Use train data-frame to train a decision tree model (2 points). 3. Plot the tree (2 points). 4.
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| Use train data-frame to train a decision tree model (2 points). 3. Plot the tree (2 points). 4. Use test data-frame to show confusion matrix and model accuracy (2 points). 5. Perform steps 1-4 with two columns: (1) Goal and (2) funding_status, and document the change in accuracy |
1. Load the data file Create a data-frame with three columns (1) Goal; (2) num_donors and (3) funding_status Convert values in column funding_status from text to integers (completed=1; NotCompleted=0); and perform 70:30 (i.e., 70% training data and remaining test data) split and create two data-frames: (1) train and (2) test. The rows must be selected (2 points) 2. Use train data-frame to train a decision tree model (2 points). 3. Plot the tree (2 points). 4. Use test data-frame to show confusion matrix and model accuracy (2 points). 5. Perform steps 1-4 with two columns: (1) Goal and (2) funding_status, and document the change in accuracy as a comment (2 points). Upload one Screenshot of Jupyter Notebook file for assignment submission.
