解释决策边界 - R中的Logistic回归

时间:2017-07-19 15:32:10

标签: r plot logistic-regression boundary

我绘制了决策边界:  Decision boundary我的逻辑回归,但我不清楚如何解释它。我怎么知道边界的哪一边y = 1,哪一边y = 0?

这是我的代码:

model <- glm (left ~ satisfaction_level + time_spend_company, family = binomial(link = 'logit'), data = data)
coefs = coef(model)
summary(model)

(x = c(min(data[,1])-2,  max(data[,1])+2))
(y = c((-1/coefs[3]) * (coefs[2] * x + coefs[1])))
lines(x, y, col="black", lwd=2)

有人可以解释一下吗?

谢谢!

P.S。我使用了Kaggle HR data set和split:

data <- HR.2 [1:12000,]
test.data <- HR.2 [12001:14999,]

0 个答案:

没有答案