Which one of the following represents a disadvantage of artificial neural networks in prediction?

Question $15$ options:

they are effective only for categorical target variables

they are not capable of capturing any form of relationship between features and target

they are easy to interpret and fast in computational time to converge and generate results

they don't have inherent mechanisms to filter out less important features from the prediction model

They are effective only for numerical target variables