Abstract

Prediction is the essential approach for countless problems. Prediction is done for a long time by using computational techniques. Analytics is an elegant way to make predictions by using machine learning techniques. Regression is the foremost technique in a lot of problems. FAP (finite arithmetic progression) is a simple mathematical technique that is rarely used. In this research work, standard regression techniques were applied to different kinds of data, such as autism, rainfall, and child abuse data. Evaluation methods applied for the P-FAP and accuracy compared with the existing techniques Mathematical methodologies are helpful for the machine learning region. The proposed technique of P-FAP (Prediction using Finite Arithmetic Progression) is explored and satisfied results are compared with the existing methodologies.