如何使用LOOCV构建交叉验证图

Question

loocv <- glm(data_set, tree)$delta[1]

尚未收到结果，glm中弹出错误(data_set，树(："family"无法识别

2。stop("‘family’not identified"(1.glm(数据集，树(

Answer 1

因此glm的语法如下：

glm(formula, family = gaussian, data, weights, subset,
na.action, start = NULL, etastart, mustart, offset,
control = list(…), model = TRUE, method = "glm.fit",
x = FALSE, y = TRUE, singular.ok = TRUE, contrasts = NULL, …)

请注意，第二个论点是家庭。tree不是可接受的族，允许的值为：

binomial(link = "logit")
gaussian(link = "identity")
Gamma(link = "inverse")
inverse.gaussian(link = "1/mu^2")
poisson(link = "log")
quasi(link = "identity", variance = "constant")
quasibinomial(link = "logit")
quasipoisson(link = "log")

你是不是在尝试像CART这样的基于树的模型？如果是这样，我建议使用像tree或rpart这样的软件包来适应您的数据。