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Predictive Modeling for Categorical Targets Using IBM SPSS Modeler (v18.1.1) SPVC

  • Tuition USD $350
  • Reviews star_rate star_rate star_rate star_rate star_half 2325 Ratings
  • Course Code 0E0U8G-SPVC
  • Duration 1 day
  • Available Formats Self Paced
This course is available in other formats
Instructor-Led Classroom & Virtual
Predictive Modeling for Categorical Targets Using IBM SPSS Modeler (v18.1.1) (0A0U8G)

This IBM Self-Paced Virtual Class (SPVC) includes:
- PDF course guide available to attendee during and after course
- Lab environment where students can work through demonstrations and exercises at their own pace

Contains PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace.

This course focuses on using analytical models to predict a categorical field, such as churn, fraud, response to a mailing, pass/fail exams, and machine break-down. Students are introduced to decision trees such as CHAID and C&R Tree, traditional statistical models such as Logistic Regression, and machine learning models such as Neural Networks. Students will learn about important options in dialog boxes, how to interpret the results, and explain the major differences between the models.

If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.

Skills Gained

1: Introduction to predictive models for categorical targets 
- Identify three modeling objectives 
- Explain the concept of field measurement level and its implications for selecting a modeling technique 
- List three types of models to predict categorical targets 
 

2: Building decision trees interactively with CHAID 
- Explain how CHAID grows decision trees 
- Build a customized model with CHAID 
- Evaluate a model by means of accuracy, risk, response and gain 
- Use the model nugget to score records 
 

3: Building decision trees interactively with C&R Tree and Quest 
- Explain how C&R Tree grows a tree 
- Explain how Quest grows a tree 
- Build a customized model using C&R Tree and Quest 
- List two differences between CHAID, C&R Tree, and Quest

 

4: Building decision trees directly 
- Customize two options in the CHAID node 
- Customize two options in the C&R Tree node 
- Customize two options in the Quest node 
- Customize two options in the C5.0 node 
- Use the Analysis node and Evaluation node to evaluate and compare models 
- List two differences between CHAID, C&R Tree, Quest, and C5.0 
 

5: Using traditional statistical models 
- Explain key concepts for Discriminant 
- Customize one option in the Discriminant node 
- Explain key concepts for Logistic 
- Customize one option in the Logistic node 
 

6: Using machine learning models 
- Explain key concepts for Neural Net 
- Customize one option in the Neural Net node

Who Can Benefit

- Analytics business users who have completed the Introduction to IBM SPSS Modeler and Data Mining course and who want to become familiar with analytical models to predict a categorical field (yes/no churn, yes/no fraud, yes/no response to a mailing, pass/fail exams, yes/no machine break-down, and so forth).

Prerequisites

- Experience using IBM SPSS Modeler including familiarity with the Modeler environment, creating streams, reading data files, exploring data, setting the unit of analysis, combining datasets, deriving and reclassifying fields, and a basic knowledge of modeling.
- Prior completion of Introduction to IBM SPSS Modeler and Data Science (v18.1) is recommended.
 

Course Details

Course Outline

1: Introduction to predictive models for categorical targets
- Identify three modeling objectives
- Explain the concept of field measurement level and its implications for selecting a modeling technique
- List three types of models to predict categorical targets

2: Building decision trees interactively with CHAID
- Explain how CHAID grows decision trees
- Build a customized model with CHAID
- Evaluate a model by means of accuracy, risk, response and gain
- Use the model nugget to score records

3: Building decision trees interactively with C&R Tree and Quest
- Explain how C&R Tree grows a tree
- Explain how Quest grows a tree
- Build a customized model using C&R Tree and Quest
- List two differences between CHAID, C&R Tree, and Quest

4: Building decision trees directly
- Customize two options in the CHAID node
- Customize two options in the C&R Tree node
- Customize two options in the Quest node
- Customize two options in the C5.0 node
- Use the Analysis node and Evaluation node to evaluate and compare models
- List two differences between CHAID, C&R Tree, Quest, and C5.0

5: Using traditional statistical models
- Explain key concepts for Discriminant
- Customize one option in the Discriminant node
- Explain key concepts for Logistic
- Customize one option in the Logistic node

6: Using machine learning models
- Explain key concepts for Neural Net
- Customize one option in the Neural Net node

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals, and private on sites. View our group training page for more information.

Very good course to get insights on spring framework. It would have been more helpful if reactive services were included in the course.

This is my second class with this Tech Data ExitCertified Personnel. I learned so much in BigFix Foundations and BigFix Inventory. Very well organized training instructors and well organized course contents and labs. I am glad I have attended.

The learning format is great and allows one to still keep up with daily work activities.

Thank you for the lab environment. Thank you for the skillpipe study materials.

Class material was clear and well communicated. Virtual setup was easy. Plenty of material was provided ahead of time. Sean was a fantastic instructor.

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