插入符号火车功能输出?

时间:2019-08-08 19:39:36

标签: r training-data caret

考虑到R在插入符号包中对train函数的以下用法:

model <- train(
    medv ~ ., 
    Boston,
    method = "lm",
    trControl = trainControl(
      method = "cv", 
      number = 5,
      verboseIter = TRUE
    )
  )
+ Fold1: intercept=TRUE 
- Fold1: intercept=TRUE 
+ Fold2: intercept=TRUE 
- Fold2: intercept=TRUE 
+ Fold3: intercept=TRUE 
- Fold3: intercept=TRUE 
+ Fold4: intercept=TRUE 
- Fold4: intercept=TRUE 
+ Fold5: intercept=TRUE 
- Fold5: intercept=TRUE 
Aggregating results
Fitting final model on full training set

1)请告知+和-FoldX是什么意思?

+ Fold1: intercept=TRUE 
- Fold1: intercept=TRUE

2)以下是否表示这是所有5折的平均RMSE:

Resampling results:

  RMSE      Rsquared   MAE     
  4.865282  0.7230966  3.389431

Tuning parameter 'intercept' was held constant at a value of TRUE

0 个答案:

没有答案