Dependent Variable in the Credit Approval Dataset - Engineering Assignment Help

Assignment Task :

Part 1 - Run the exercise on the Credit Approval dataset and write a report on your findings. The report needs to cover the exercise key points below in order and in your own words.

1. Introduction
• Identify the dependent variable in the Credit Approval dataset.
• Identify the independent variables in the Credit Approval dataset.
• What do you expect the ctree method to accomplish for the Credit Approval data?

2. Data Pre-processing.  Load the data into RStudio, and discuss the data pre-processing steps (if any) you run before splitting the data into training and test set.  For each step, include the command you ran, the output, and an explanation of what the step accomplishes.

3.  Training and test data
• Why do we split the dataset into training and test data?
• Run the set.seed(1234) command and the commands to split the data into a training set containing 70% of instances and a test set containing the remaining 30% of instances.  Include the commands in the report.
 

4.  Build the ctree model on training data
• Run the command to build the ctree model. Store the model in a variable called “model”. Include the command in the report, and discuss the input parameters you used.
• Run the print(model) command to output the model we built in the textual format.  Include the command and the output in the report.
• Interpret the textual structure of the model, including node splitting, and leaf nodes.
• Which independent variables could be the significant predictors of the dependent variable in your data?  Why?
 

5. Visualize the tree – run the plot(model) command to build the tree plot.  Include the command, the plot, and the interpretation of the tree structure in the report.
 

6.  Confusion matrix
• Build the confusion matrix for the training data.  Include the command and the matrix in the report.
• What is the classification accuracy for the training data?
• Besides classification accuracy, what additional information does the confusion matrix provide?
 

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