I have some feature sets say X1 and X2 ... Each feature set have some variable amount of features and there is no intersection between different feature sets Say X1 have 100 features and X2 have 500 features and none of the features they had is same . Though the file from which these features are extracted is same for both x1 and x2.
Each feature set can be used individually for binary classification. Like X1 can also be used for classification and X2 can also be used for classification. They can also be used together combined i.e X1 U X2 which will have 600 features
But I want to compare the feature sets and hence want to know if there is any statistical method which can be used to rank these feature sets other than classification accuracy
Like X1 is better than X2 and so on ...