a

paper/imputation.tex

@@ -129,7 +129,7 @@ Moreover, we are also going to present our modeling approach for the case of a s
 % (Any deviation from this can be achieved by adjusting intercepts and coefficients in the following).
 
 
-In our setting, a negative decision $\decision=0$ leads to successful outcome $\outcome=1$.
+In our setting, a negative decision $\decision=0$ leads to a successful outcome $\outcome=1$.
 %
 When $\decision=1$, the outcome is modeled with a logistic regression model over the features $\obsFeatures$ and $\unobservable$:
 \begin{eqnarray}