Algorithm 1 Attribute weighted logistic regression

Input: training data 1: For each attribute xi in the training data     - Compute ${\chi }_i^2$ following Equation (4)     - Compute wi following Equation (6) 2: Incorporate attribute weights to train the weighted LR model (following Equation (3))    If wi = 0 then set aln(wi) = 1 × 10−10      Else if (βi > 0 and wi > 1) or (βi < 0 and wi < 1) then a = positive      Else if (βi > 0 and wi < 1) or (βi < 0 and wi > 1) then a = negative