This training program presents advanced models to predict categorical and continuous targets. Before reviewing the models, data preparation issues are addressed, such as detecting anomalies, partitioning, and balancing data. The professional is first introduced to a technique named PCA/Factor, to reduce the number of fields to a number of core fields, referred to as factors or components. The following units focus on supervised models, including Decision List, Random Trees, Support Vector Machines, and XGBoost. Methods are revised to combine supervised models, and then execute them in a single run, both for continuous as well as categorical targets.

Radiant Techlearning offers the Advanced Predictive Modeling Using IBM SPSS Modeler (v18.1.1) training program in Classroom & Virtual Instructor Led / Online mode.


Duration: 1day


Learning Objective

  • Preparing data for modeling
  • Reducing data with PCA/Factor
  • Creating rule sets for flag targets using Decision List
  • Exploring advanced supervised models
  • Combining models
  • Finding the best supervised model


  • It is necessary to have familiarity in opening, creating, editing, and saving streams with the help of IBM SPSS Modeler environment.
  • Gather knowledge and understanding with basic modeling techniques, either through completion of the training programs like ‘Predictive Modeling for Categorical Targets Using IBM SPSS Modeler’ and/or ‘Predictive Modeling for Continuous Targets Using IBM SPSS Modeler’, or having experience with predictive models in IBM SPSS Modeler.

Audience for the course

  • Business Analysts
  • Data Scientists
  • Users of IBM SPSS Modeler responsible for building predictive models

Course content

Preparing data for modeling

  • Address general data quality issues
  • Handle anomalies
  • Select important predictors
  • Partition the data to better evaluate models
  • Balance the data to build better models

Reducing data with PCA/Factor

  • Explain the idea behind PCA/Factor
  • Determine the number of components/factors
  • Explain the principle of rotating a solution

Creating rulesets for flag targets with Decision List

  • Explain how Decision List builds a ruleset
  • Use Decision List interactively
  • Create rulesets directly with Decision List

Exploring advanced supervised models

  • Explain the principles of Support Vector Machine (SVM)
  • Explain the principles of Random Trees
  • Explain the principles of XGBoost

Combining models

  • Use the Ensemble node to combine model predictions
  • Improve model performance by meta-level modeling

Finding the best supervised model

  • Use the Auto Classifier node to find the best model for categorical targets
  • Use the Auto Numeric node to find the best model for continuous targets


Q. What does SPSS Modeler do?


A: SPSS Modeler is a leading visual data science as well as machine learning solution. Foremost organizations worldwide depend on IBM for data preparation as well as discovery; predictive analytics, model management as well as deployment, as well as machine learning for monetize data assets


Q. Is IBM SPSS Modeler free?


A: SPSS Modeler available for free for educational usage


Q. What is the difference between SPSS Statistics and Modeler?


A: SPSS Modeler delivers data mining as well as text analysis software, while SPSS Statistics is an integrated family of products. Both tools allow users to build predictive models as well as implement other analytics tasks. Modeler can apply different processes as well as algorithms to help the user discover information hidden in the data.


Q. Why do we need SPSS?


A: SPSS (Statistical package for the social sciences) is the set of software programs that are merged together in a single package. The basic application of this program is to analyze scientific data associated with the social science. This data can be utilized for market research, surveys, data mining, etc.


Q. what is SQL pushback?


A: IBM SPSS Modeler stream reads data from a SQL (structured query language) database as well as performs processing on the data, users can improve the efficiency of this operation by pushing back the SQL instructions to implement in the database itself. SQL Pushback will speed up stream execution massively.


Q. Is SPSS better than excel?


A: Though Microsoft Excel as well as SPSS has a similar look as well as feel, with menus, spreadsheets also built-in statistical functions, SPSS is a clear winner when it comes to data analysis, as this software is especially created for statistics


Q. Where is Radiant Techlearning Located?


A: Radiant Techlearning is headquartered in Electronic city & technology hub of Nothern India, Noida, which is surrounded by several large multinational, medium & small Software companies.

We have our offices located all across the country and partners across the globe.


Q. What is the benefit of doing training from Radiant Techlearning?


A: Radiant Techlearning is receptive to new ideas and always believes in a creative approach that makes learning easy and effective. We stand strong with highly qualified & certified technology Consultants, trainers and developers who believe in amalgamation of practical and creative training to groom the technical skills.

Our training programs are practical oriented with 70% – 80% hands on the training technology tool.  Our training program focuses on one-on-one interaction with each participant, latest content in curriculum, real time projects and case studies during the training program.

Our experts will also share best practices & will give you guidance to score high & perform better in your certification exams.

To ensure your success, we provide support session even after the training program.

You would also be awarded with a course completion certificate recognized by the industry after completion of the course & the assignment.


Q. How do you ensure the quality of training program?


A: Radiant has highly intensive selection criteria for Technology Trainers & Consultants, who deliver you training programs. Our trainers & consultants undergo rigorous technical and behavioral interview and assessment process before they are on boarded in the company.

Our Technology experts / trainers & consultant carry deep dive knowledge in the technical subject & are certified from the OEM.

Our training programs are practical oriented with 70% – 80% hands on the training technology tool.  Our training program focuses on one-on-one interaction with each participant, latest content in curriculum, real time projects and case studies during the training program.

Our faculty will provide you the knowledge of each course from fundamental level in an easy way and you are free to ask your doubts any time from your respective faculty.

Our trainers have patience and ability to explain difficult concepts in simplistic way with depth and width of knowledge.

To ensure quality learning, we provide support session even after the training program.


Q. What if I/we have doubts after attending your training program?


A: Radiant team of experts would be available on the email to answer your technical queries, even after the training program.

We also conduct a 3 – 4 hours online session after 2 weeks of the training program, to respond on your queries & project assigned to you.


Q. If I face technical difficulty during the class what should I do?


A: Technical issues are unpredictable and might occur with you as well. Participants have to ensure that they have the system with required configuration with good internet speed to access online labs.

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