Is there a scikit-learn method / class, similar to the MetaCost algorithm implemented by Weka or other utilities, for performing const sensitivity analysis?
No no. Some classifiers offer class_weight and sample_weight , but these are just optimized implementations over oversampling and undersampling, not MetaCost.
class_weight
sample_weight