I need a little bit guidance. I have to compare the classification performance of multiple algorithms using simple or paired t-test.
Let's say I have four datasets (A,B,C) with training and test samples. I am running 3 algorithms (SIFT, SURF, ORB) and compute the classification accuracy such 0.9 means 90% of images correctly match from the test dataset.
Let' say I get the following table:
- SIFT (0.90, 0.84, 0.90,0.45)
- SURF (0.84, 0.67, 0.45,0.34)
- ORB (0.34,0.45,0.45,0.23)
Can you please guide me how I can compare the performance of these algorithms using some statistical analysis such as simple t-test?
Any guidance will be really appreciated. Thanks.