Attributable to challenges of social event enormous volumes of material area information in a setting of less mining research, foreseeing the qualities of articles of clothing turns into a significant open issue which gets increasingly more consideration from the materials research local area. In this exploration work, the field of data mining endeavors to anticipate clothing insurance factors completely plan on understanding the computational individual of learning. Qualities of dress learning are being explored as a methodology for settling on the decision and utilization of getting ready data and their outcomes. It is seen from the results got by experimentation that the linear regression hushes up engaging as a result of adequacy as far as high forecast rate and linear regression can find the dress protection execution in a most proficient way in contrast with any remaining inclining calculations tested.