Regression Analysis on Sea Surface Temperature

This paper is aimed to analyze the sea surface temperature over salinity of regions near the North America Pacific Coast. The usage of different regression analysis techniques has been studied and compared to conclude the best method that will apply in our research on ocean water properties and Potential Fishing Zones. We have considered the systematic reciprocal options among the various analysis methods like linear, decision tree, random forest, and SVR. The optimal transition of the training and testing sets is monitored to arrive at the most responsive and reliable solution.