The goal of this project is to recommend a learning model for predicting the average time variable in the test times data. This is accomplished through the use of evaluation techniques such as R-squared, plots of the residuals, and the mean squared error for the follow learning algorithms:
- k-Nearest Neighbors
- Linear Regression
The data has been copied over from the sorting algorithms analysis project.