The production of nanoparticles (NPs) is crucial to the development of nanotechnology, which has become well-known and has a wide range of uses. The size of a NPs can range from one to one hundred nanometers. Their physical and chemical features set them apart from their bulk equivalents, which makes them desirable for a range of cutting-edge applications. NPs made of a mixture of cobalt (Co) and gold (Au) components are referred to as cobalt-gold (Co-Au) NPs. Bimetallic Co-Au NPs have distinctive properties that make them particularly valuable in a variety of applications, including biological imaging and catalysis. Predictive models have gained popularity as a means of streamlining and improving NPs production procedures. In this paper, the prediction model is developed using Jamovi and orange data mining tool. The mean is 851.4560, the median is 553.2310 and the dispersion is 0.9058. According to the linear regression, R is 0.976, R² is 0.953, and adjusted R² is 0.953.

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