Quick start: Build a model using SPSS Modeler
Quick start: Build a model using SPSS Modeler You can create, train, and deploy models using SPSS Modeler. Read about SPSS Modeler, then watch a video and follow a tutorial that’s suitable for beginners and requires no coding. Your basic workflow includes these tasks: 1. Open your sandbox project. Projects are where you can collaborate with others to work with data. 2. Add an SPSS Modeler flow to the project. 3. Configure the nodes on the canvas, and run the flow. 4. Review the model details and save the model. 5. Deploy and test your model. Read about SPSS Modeler With SPSS Modeler flows, you can quickly develop predictive models using business expertise and deploy them into business operations to improve decision making. Designed around the long-established SPSS Modeler client software and the industry-standard CRISP-DM model it uses, the flows interface supports the entire data mining process, from data to better business results. SPSS Modeler offers a variety of modeling methods taken from machine learning, artificial intelligence, and statistics. The methods available on the node palette allow you to derive new information from your data and to develop predictive models. Each method has certain strengths and is best suited for particular types of problems. [Read more about SPSS Modeler](https://dataplatform.cloud.ibm.com/docs/content/wsd/spss-modeler.html) [Learn about other ways to build models](https://dataplatform.cloud.ibm.com/docs/content/wsj/analyze-data/data-science.html) Watch a video about creating a model using SPSS Modeler ![Watch Video](https://dataplatform.cloud.ibm.com/docs/content/wsj/getting-started/images/lc-video.png) Watch this video to see how to create and run an SPSS Modeler flow to train a machine learning model. This video provides a visual method to learn the concepts and tasks in this documentation. Try a tutorial to create a model using SPSS Modeler In this tutorial, you will complete these tasks: * [Task 1: Open a project.](https://dataplatform.cloud.ibm.com/docs/content/wsj/getting-started/get-started-build-spss.html?context=cdpaas&locale=enstep01) * [Task 2: Add a data set to your project.](https://dataplatform.cloud.ibm.com/docs/content/wsj/getting-started/get-started-build-spss.html?context=cdpaas&locale=enstep02) * [Task 3: Create the SPSS Modeler flow.](https://dataplatform.cloud.ibm.com/docs/content/wsj/getting-started/get-started-build-spss.html?context=cdpaas&locale=enstep03) * [Task 4: Add the nodes to the SPSS Modeler flow.](https://dataplatform.cloud.ibm.com/docs/content/wsj/getting-started/get-started-build-spss.html?context=cdpaas&locale=enstep04) * [Task 5: Run the SPSS Modeler flow and explore the model details.](https://dataplatform.cloud.ibm.com/docs/content/wsj/getting-started/get-started-build-spss.html?context=cdpaas&locale=enstep05) * [Task 6: Evaluate the model.](https://dataplatform.cloud.ibm.com/docs/content/wsj/getting-started/get-started-build-spss.html?context=cdpaas&locale=enstep06) * [Task 7: Deploy and test the model with new data.](https://dataplatform.cloud.ibm.com/docs/content/wsj/getting-started/get-started-build-spss.html?context=cdpaas&locale=enstep07) This tutorial will take approximately 30 minutes to complete. Example data The data set used in this tutorial is from the University of California, Irvine, and is the result of an extensive study based on hospital admissions over a period of time. The model will use three important factors to help predict chronic kidney disease. Expand all sections * Tips for completing this tutorial ### Use the video picture-in-picture Tip: Start the video, then as you scroll through the tutorial, the video moves to picture-in-picture mode. Close the video table of contents for the best experience with picture-in-picture. You can use picture-in-picture mode so you can follow the video as you complete the tasks in this tutorial. Click the timestamps for each task to follow along.The following animated image shows how to use the video picture-in-picture and table of contents features: ![How to use picture-in-picture and chapters](https://dataplatform.cloud.ibm.com/docs/content/wsj/getting-started/images/pip-and-chapters.gif){: width="560px" height="315px" data-tearsheet="this"} ### Get help in the community If you need help with this tutorial, you can ask a question or find an answer in the [Cloud Pak for Data Community discussion forum](https://community.ibm.com/community/user/cloudpakfordata/communities/community-home/digestviewer?communitykey=c0c16ff2-10ef-4b50-ae4c-57d769937235){: new_window}. ### Set up your browser windows For the optimal experience completing this tutorial, open Cloud Pak for Data in one browser window, and keep this tutorial page open in another browser window to switch easily between the two applications. Consider arranging the two browser windows side-by-side to make it easier to follow along. ![Side-by-side tutorial and UI](https://dataplatform.cloud.ibm.com/docs/content/wsj/getting-started/images/tutorial-side-by-side.png){: width="560px" height="315px" data-tearsheet="this"} Tip: If you encounter a guided tour while completing this tutorial in the user interface, click Maybe later. [Back to the top](https://dataplatform.cloud.ibm.com/docs/content/wsj/getting-started/get-started-build-spss.html?context=cdpaas&locale=envideo-preview) * Task 1: Open a project You need a project to store the SPSS Modeler flow. You can use your sandbox project or create a project. 1. From the navigation menu ![Navigation menu](https://dataplatform.cloud.ibm.com/docs/content/wsj/getting-started/images/navigation-menu.svg){: iih}, choose Projects > View all projects 1. Open your sandbox project. If you want to use a new project: 1. Click New project. 1. Select Create an empty project. 1. Enter a name and optional description for the project. 1. Choose an existing [object storage service instance](https://dataplatform.cloud.ibm.com/docs/content/wsj/admin/storage-options.html){: new_window} or create a new one. 1. Click Create. For more information or to watch a video, see [Creating a project](https://dataplatform.cloud.ibm.com/docs/content/wsj/getting-started/projects.html){: new_window}. ### ![Checkpoint icon](https://dataplatform.cloud.ibm.com/docs/content/wsj/getting-started/images/checkmark--filled-blue.svg){: iih} Check your progress The following image shows the new project. ![The following image shows the new project.](https://dataplatform.cloud.ibm.com/docs/content/wsj/getting-started/images/spss-new-project.png){: width="100%" } [Back to the top](https://dataplatform.cloud.ibm.com/docs/content/wsj/getting-started/get-started-build-spss.html?context=cdpaas&locale=envideo-preview) * Task 2: Add the data set to your project ![preview tutorial video](https://dataplatform.cloud.ibm.com/docs/content/wsj/getting-started/images/lc-video.png) To preview this task, watch the video beginning at 00:13. This tutorial uses a sample data set. Follow these steps to add the sample data set to your project: 1. Access the [UCI ML Repository: Chronic Kidney Disease Data Set](https://dataplatform.cloud.ibm.com/exchange/public/entry/view/a25870b7249ad55605de7a2e59567a7e){: new_window} in the Samples. 1. Click Preview.