Regression analysis in Galaxy with car purchase price prediction dataset

Source/Credit: Michael Grogan<br> https://github.com/MGCodesandStats<br> https://github.com/MGCodesandStats/datasets/blob/master/cars.csv Sample dataset for regression analysis. Given 5 attributes (age, gender, miles driven per day, debt, and income) predict how much someone will spend on purchasing a car. All 5 of the input attributes have been scaled to be in 0 to 1 range. Training set has 723 training examples. Test set has 242 test examples.<br> <br> This dataset will be used in an upcoming Galaxy Training Network tutorial (https://training.galaxyproject.org/training-material/topics/statistics/) on use of feedforward neural networks for regression analysis.