What is the measure of association of the variable used_ind with the target?

The measure of association for a variable with the target describes the strength and direction of the relationship between that variable and the target outcome. It typically reflects how changes in the variable used_ind impact the target variable's distribution.

In this context, the value of 17.6576 indicates a notably strong association compared to the other values provided. This figure suggests a significant relationship, thereby implying that as the levels of used_ind change, there is a considerable corresponding change in the target.

The specific metrics calculated for measures of association can depend on the analysis method or model being used, such as Chi-square statistics in categorical variables or various correlation methods for continuous variables. A higher value generally indicates that the variable is more predictive or has more impact on the target.

When comparing this value to the others, it stands out as the highest, reinforcing the interpretation that it has the most substantial measure of association with the target from the options given. Other values are lower, indicating weaker associations.