Problem : To calculate accuracy about Randomforest ntree(from 1 ~ to 10), visualizing the results as a graph.

So, i was trying to make a code.

r = rpart(Species~., data = iris)

for(i in 1:10) {

f <- randomForest(Species~.,data = iris, ntree = i)

r_pred = predict(r, iris, type = 'class')}

after that, i also confuse how to use confusion matrix.

f

Call:

randomForest(formula = Species ~ ., data = iris, ntree = i)

Type of random forest: classification

Number of trees: 10

No. of variables tried at each split: 2

```
OOB estimate of error rate: 5.37%
```

Confusion matrix:

setosa versicolor virginica class.error

setosa 50 0 0 0.0000000

versicolor 0 47 3 0.0600000

virginica 0 5 44 0.1020408

I think this is right, but how can i visualize each accuracy (from 1 to 10 ntree) as each part and also graph.

Please help me.

Thanks