The data set that was analyzed is about real-world commerce. This poster shows how to predict a past-due amount using traditional and machine learning techniques: logistic analysis, k-nearest neighbors, and random forest. This tool automates the generation of a SAS program that almost emulates a conventional scenario of submitting a batch program in a command-line shell using SASGSUB commands. In addition, an HTML and JavaScript tool developed in-house is introduced. However, submitting a sequence of SAS programs in a conventional batch program style and getting individual logs and outputs for them needs a customized approach. SAS has provided the SAS Grid Manager Client Utility and SASGSUB commands to enable command-line submission of SAS programs to the grid. Saving individual log and output files for each program might also be a favorite routine in many organizations. While SAS ® provides good graphical user interface solutions (for example, SAS ® Enterprise Guide ®) to develop and submit the SAS code to SAS Grid Computing, some situations might need command-line batch submission of a group of related SAS programs in a particular sequence. However, such migration might not be free from challenges especially considering users' pre-migration routines and programming practices. Migration to a SAS ® Grid Computing environment provides many advantages.
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