I am new in this area. I am facing some issues while comparing the algorithms using statistical test. I have following result of Gmean of some classification algorithm. Abalone, Balance-scale, Car, Chess are the datasets here and ROS, RUS, RFS, NoS are the algorithms.
If I want to compare which dataset is better than others using some statistical test like, t-test, Friedmen test, Wilcoxon test etc then is it possible that I can compare the algorithm using the following table?
ROS RUS RFS NoS Abalone 0.003 0.0036 0.0039 0 Balance-scale 0.8858 0.8065 0.8966 0.9417 Car 0.9191 0.7216 0.9056 0.9094 Chess 0.4912 0.1973 0.5084 0.1438
If anyone has any idea about it please help me. Or you can share any references from where I can find the solutions. I studied these statistical test, null hypothesis, p-value etc but couldn't understand whether it is possible or not to compare these algorithms using Gmean.
***G-mean = Geometric Mean, used to evaluate the performance of multiclass classifiers
Thanks in advance.