I need help with the assignment, I\'m using SAS. No spacing Predictive Modeling

Question

I need help with the assignment, I'm using SAS. No spacing Predictive Modeling Using Decision Trees For this project use the data source CATALOG2010 located in the ABA1 folder. This data comes from a catalog retailer. The target variable, respond, is i for people who ve placed an order from the previous year's Christmas catalog. Using that historical data, you build a decision tree to classify customers as likely (1), or unlikely (0 to place an order if mailed this year's Christmas catalog. Each leaf of this three is labeled with a 1 or a 0. Records reaching a leaf labeled 1 are classed as likely responders. Those reaching a leaf labeled 0 are classed as likely non-responders. a. Define the data set CATALOG2010 as a data source for the project. b. Add a Data Partition node to the diagram and connect it to the Data Source node. Assign 40% of the data for training and 30% for validation, and 30% for test. Predictive Modeling Using Decision Trees a. Your target variable is "respond". b. Create a decision tree model interactively. Keep in mind that you'll be making a "Decision." c. Examine the tree results. How many leaves are in the tree? What is the misclassification rate of the final nodes in the tree you grew? d. view the tree. Which variable was used for the first split? What were the competing splits for this first split? e. Add a second Decision Tree node to the diagram and connect it to the Data Partition node. Your target variable in this step is the variable "order size." Run the diagram from the new Decision Tree node and examine the tree results. How many leaves are in the tree? g. Which variables were important in growing this tree? h. View the tree. Which variable was used for the first split? L Maximize the tree window and comment on the people in terms of their spending pattems.

Explanation / Answer

now ,

Preparing for Interactive Tree C

onstruction

Follow these st

eps to prepare the Decision Tree tool for interactive tree construction.

1.

Select the

Model tab

.

The Decision Tree tool is second from the left:

Drag a

Decision Tree

tool into the diagram workspace.

Place the node next to the

Data Partition

node.

3.

Connect the

Data Partition

node to the

Decision Tree

node.

The Decision Tree tool

can

build predictive models

autonomously

or interactively. To build a model

autonomously

, simply run the Decision Tree node. Building models interactively, however, is more

informative and is

helpful

when you first learn about the node and even when you are more expert

at predictive modelin

8

Decision

Trees (Introduction to Predictive Modeling)

3.

Connect the

Data Partition

node to the

Decision Tree

node.

The Decision Tree tool

can

build predictive models

autonomously

or interactively. To build a model

autonomously

, simply run the Decision Tree node. Building models interactively, however, is more

informative and is helpful when you first learn about the node and even when you are more expert at predictive modeling.

4.

Select

Interactive from the Decision Tree nodes Properties panel.

The SAS Enterprise Miner Interactive Decision Tree application open

Related Questions

Navigate

• Browse (All)
• Browse I
• Subjects

---