Weighted Average ensemble technique

This is an extension of the averaging method. All models are assigned different weights defining the importance of each model for prediction. For instance, if two of your colleagues are critics, while others have no prior experience in this field, then the answers by these two friends are given more importance as compared to the other people.

The result is calculated as [(50.23) + (40.23) + (50.18) + (40.18) + (4*0.18)] = 4.41.