# margin

##### Margins of randomForest Classifier

Compute or plot the margin of predictions from a randomForest classifier.

- Keywords
- classif

##### Usage

```
# S3 method for randomForest
margin(x, ...)
# S3 method for default
margin(x, observed, ...)
# S3 method for margin
plot(x, sort=TRUE, ...)
```

##### Arguments

- x
an object of class

`randomForest`

, whose`type`

is not`regression`

, or a matrix of predicted probabilities, one column per class and one row per observation. For the`plot`

method,`x`

should be an object returned by`margin`

.- observed
the true response corresponding to the data in

`x`

.- sort
Should the data be sorted by their class labels?

- ...
other graphical parameters to be passed to

`plot.default`

.

##### Value

For `margin`

, the *margin* of observations from the
`randomForest`

classifier (or whatever classifier that
produced the predicted probability matrix given to `margin`

).
The margin of a data point is defined as the proportion of votes for
the correct class minus maximum proportion of votes for the other
classes. Thus under majority votes, positive margin means correct
classification, and vice versa.

##### See Also

##### Examples

```
# NOT RUN {
set.seed(1)
data(iris)
iris.rf <- randomForest(Species ~ ., iris, keep.forest=FALSE)
plot(margin(iris.rf))
# }
```

*Documentation reproduced from package randomForest, version 4.6-14, License: GPL (>= 2)*