Use standard statistical hypothesis tests to find features that significantly vary (change accuracy) over the classes (e.g., feature_importances_)

Variable/feature selection via regularization techniques

Use dimensionality reduction technique like Lasso.

Exploit domain knowledge

Fix an effective algorithm and quantify the success of predictions using different feature/variable sets