Performing non-regularized linear regression to solve a supervised regression problem on the dataset and predict scaled sound pressure level.
NASA data set consisting of 1,503 instances, each with 6 attributes obtained from a series of aerodynamic and acoustic tests of two and three-dimensional airfoil blade sections conducted in an anechoic wind tunnel. More details about the dataset can be found at the University of California, Irvine at UCI Machine Learning Repository Data Set page. (http://archive.ics.uci.edu/ml/datasets/Airfoil+Self-Noise).