For simplicity, we use linear regression model here.
we denote an instance in the feature space as X, and the weights of features are denoted as w. Then the linear regression model is defined as: (3) where w T is the transpose of w. we will have a technical problem if we set the target value to the performance change directly: The range of , while the range of performance change is [-1,1].