and then merges the columns based on the number of independent and dependent variables, in this case it is simple regression with 1 dependent and 1 independent variable. An optimized algorithm is then initialized, training data and dependent values are passed in, and trained based on the data within the csv file. A training result is produced, which is a line of best fit model for the data. The "testModel()" function is then called, which initilized initialized a test algorithm. The algorithm works by passing the dependent variable into the training model, and the independent values are predicted. The model predicted y = 0.5x + 1, which matches nearly perfectly with the random data which was stored to both the train.csv, and test.csv files.