In software engineering, performance prediction means to gauge the execution time or other performance factors, (for example, reserve misses) of a program on a given PC. There are many ways to deal with predict program 's performance on PCs. It is a data mining strategy that changes crude data into a reasonable arrangement. Crude data(real world data) is dependably deficient and that data can't be sent through a model. That would cause specific mistakes. However, just excellent data can prompt exact models and, eventually, precise predictions. Henceforth, it's vital to deal with data for the most ideal quality. This progression of handling data is called data pre-processing, and it's one of the fundamental stages in data science, AI, and man-made reasoning Data Pre-processing alludes to the means applied to make data more appropriate for data mining. A critical interaction can influence the achievement of data mining and AI projects. It makes information revelation from datasets quicker and can eventually influence the performance of AI models.

Keywords: Prediction Precision, Data Pre-Processing, Data Mining, AI, Crude Data.