In my area (computer science), many researchers have employed some algorithms to solve the problem where most of them used their own private datasets.
I collected several public datasets and have benchmarked the performance (the accuracy) of the state-of-the-art algorithms on several public datasets. I have not seen anyone have done this so far.
However, 1. The benchmarked algorithms are existing algorithms. None of them is my own proposed algorithm. Most algorithms have been used for the researchers' private dataset. 2. The datasets I used are public dataset which has also been used in other studies but there are some algorithms that have not been employed for these datasets. Those algorithms have not been investigated on these public datasets.
The purpose of I'm doing so is: 1. To investigate the accuracy of the existing algorithms employed in my area across various datasets. 2. To show that the accuracy of a particular algorithm is not consistent across various datasets and there is a need for a combination of algorithms.
Is what I have done can be considered as one of the contributions of my thesis before I proceed to the next contribution which is to propose a combination of algorithms?