Weight of Evidence (WOE) measures the relative risk of an attribute. The value depends on the value of the binary target variable, which is either event or nonevent.

The predictive power of a characteristic, its ability to separate high-risk applicants from low-risk ones, is assessed by its Information Value or Gini Score. The Information Value is the weighted sum of the WOE of the characteristic's attributes. The weight is the difference between the proportion of nonevents and the proportion of events in the respective attribute.

The Gini Score is computed as follows:

1.Sort the data by the descending order of the proportion of events in an attribute. Suppose a characteristic has m attributes. Then, the sorted attributes are expressed as groups 1, 2, ...m. Each group corresponds to an attribute and group 1 has the highest proportion of events.

2.For each of these sorted groups, calculate the number of events and nonevents in group i.

哦，名白了啦

非常感谢你的回答！我还想再了解一些...
那WOE究竟是一个什么样的标准？
Gini Score是the proportion of events in an attribute？那这个分数都是小数吧。
Gini Ratio等于什么呢？

另外，想问一下您，上图中红框里面的数值是怎么计算出来的呢？谢谢...

图在这里，不好意思...
这个是我对一个变量分类之后产生的统计数据。红框里面的指标不知道是怎么计算出来的。