Select a transportation data set with at least one output parameter and three or more input parameters. a. Split data set into training (80% of total data patterns) and testing (20% of total data...

Select a transportation data set with at least one output parameter and three or more input parameters.

a. Split data set into training (80% of total data patterns) and testing (20% of total data patterns)

b. Use one of the regression methods and an NN approach and develop two different prediction models.

c. Use only training data set for cross validation method and calculate true performance of both models. DO NOT use testing data set.

d. Evaluate both models with testing data set.

e. Compare results obtained in c and d.

f. Present your conclusion, observations, and recommendations.