Final answer:
Yes, it is possible to get higher accuracy with a time series regression model compared to a decision tree model when working on a time series data set.
Step-by-step explanation:
Yes, it is possible to get higher accuracy with a time series regression model compared to a decision tree model when working on a time series data set. While decision tree algorithms work well on various types of data, they may not be the most suitable for time series data, which has a temporal aspect. Time series regression models, on the other hand, are specifically designed to handle time-dependent data and can capture the patterns and trends over time more accurately, resulting in higher accuracy.