学习R的悬疑录（不定期更新）

在使用caret包建模时候，没有导入机器学习包，如rpart、randomForest等，并不会对结果有影响。不知道是不是caret包内置了机器学习模块。

# 加载r包
library(data.table)
library(dplyr)
library(ggplot2)
# library(rpart)
# library(rpart.plot)
library(caret)
library(DT)
library(VIM)
-------------------snip-------------------
set.seed()
tr_control<-trainControl(method = 'cv',number = )
# 创建随机森林模型
model_rf<-train(Class~.,data=traindata,
                trControl=tr_control,method='rf')
model_rf

Random Forest

788 samples
30 predictor
2 classes: '0', '1'

No pre-processing
Resampling: Cross-Validated (5 fold)
Summary of sample sizes: 631, 631, 630, 630, 630
Resampling results across tuning parameters:

mtry Accuracy Kappa
2 0.9276465 0.8552977
16 0.9314521 0.8628921
30 0.9276627 0.8553120

Accuracy was used to select the optimal model using the one SE rule.
The final value used for the model was mtry = 2.