Machine Learning, Data Science, Overfitting, Underfitting.
algorithm is already quite complex (neural network or some ensemble model), you need to add more parameters to it, for example, increase the number of models in boosting. In the context of neural networks, this means adding more layers / more neurons in each layer / more connections between layers