Currently it is possible that predicted costs are negative (which happened for small datasets and that's why the chooser avoided those). A solution is to put the durations on a log scale for modelling and to exponentiate later. However, this might render the polynomial kernel useless. What are our options?
Currently it is possible that predicted costs are negative (which happened for small datasets and that's why the chooser avoided those). A solution is to put the durations on a log scale for modelling and to exponentiate later. However, this might render the polynomial kernel useless. What are our options?