Predictive Modeling: Estimating Traffic

#artificialintelligence 

This is a dataset that counts the number of cars passing by during baseball games at the Los Angeles Dodgers home stadium. Let's see how to estimate the traffic. In the preceding lines, the C parameter specifies the penalty for misclassification and epsilon specifies the limit within which no penalty is applied. Output: Mean absolute error 7.28. Output: Predicted traffic is given as 29.