有些地方不对劲；缺少所有精度度量值:模型验证
有些地方不对劲；缺少所有精度度量值:模型验证
提问于 2021-02-15 16:36:20
我想运行这段代码来进行模型验证，但我在序列中得到了错误()
library(caret)
diabet<-read.csv("C:/Users/Downloads/diabetes.csv")
diabet$Outcome<-as.factor(diabet$Outcome)
diabet$BMI<-as.factor(diabet$BMI)
train_control<- trainControl(method="boot", number=100)
model <-train(diabet$Outcome~diabet$BMI, trControl=train_control, method="nb")
print(model)我收到此类型错误
Something is wrong; all the Accuracy metric values are missing:
Accuracy Kappa
Min. : NA Min. : NA
1st Qu.: NA 1st Qu.: NA
Median : NA Median : NA
Mean :NaN Mean :NaN
3rd Qu.: NA 3rd Qu.: NA
Max. : NA Max. : NA
NA's :2 NA's :2
Error: Stopping
In addition: There were 50 or more warnings (use warnings() to see the first 50)有人能帮我解决这个错误吗？
Stack Overflow用户
回答已采纳
发布于 2021-02-15 16:47:01
根据the documentation，有两种调用train()的方法
## S3 method for class 'default':
train(x, y,
method = "rf",
...,
weights = NULL,
metric = ifelse(is.factor(y), "Accuracy", "RMSE"),
maximize = ifelse(metric == "RMSE", FALSE, TRUE),
trControl = trainControl(),
tuneGrid = NULL,
tuneLength = 3)
## S3 method for class 'formula':
train(form, data, ..., weights, subset, na.action, contrasts = NULL)从你的问题帖子中，看起来你正在尝试使用第二个签名，所以这是你应该如何实现它：
model <-train(Outcome~BMI, data=diabet, trControl=train_control, method="nb")这样，您就有了一个有效的form公式，并且还在函数调用中传入了所需的data。
页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/66204852
复制相关文章
相似问题
腾讯云开发者
