Table 7 Results copied from Guo and Berkhahn [3], \(\text {MAPE}\) is mean absolute percentage error, \(\text {EE}\) is entity embedding \(\text {KNN}\) is K-Nearest Neighbors, in all cases using entity embedding for encoding gives lower error, transfer learning employed for all models except neural network where direct learning is employed