xgb.plot.tree {xgboost} | R Documentation

## Plot a boosted tree model

### Description

Read a tree model text dump and plot the model.

### Usage

    xgb.plot.tree(feature_names = NULL, model = NULL, trees = NULL,
      plot_width = NULL, plot_height = NULL, render = TRUE,
      show_node_id = FALSE, ...)

### Arguments

`feature_names` | names of each feature as a `character` vector.
`model` | produced by the `xgb.train` function.
`trees` | an integer vector of tree indices that should be visualized. If set to `NULL`, all trees of the model are included. IMPORTANT: the tree index in xgboost model is zero-based (e.g., use `trees = 0:2` for the first 3 trees in a model).
`plot_width` | the width of the diagram in pixels.
`plot_height` | the height of the diagram in pixels.
`render` | a logical flag for whether the graph should be rendered (see Value).
`show_node_id` | a logical flag for whether to show node id's in the graph.
`...` | currently not used.

### Details

The content of each node is organised that way:

- Feature name.

- `Cover`: The sum of second order gradient of training data classified to the leaf. If it is square loss, this simply corresponds to the number of instances seen by a split or collected by a leaf during training. The deeper in the tree a node is, the lower this metric will be.

- `Gain` (for split nodes): the information gain metric of a split (corresponds to the importance of the node in the model).

- `Value` (for leafs): the margin value that the leaf may contribute to prediction.

The tree root nodes also indicate the Tree index (0-based).

The "Yes" branches are marked by the "< split_value" label. The branches that also used for missing values are marked as bold (as in "carrying extra capacity").

This function uses GraphViz as a backend of DiagrammeR.

### Value

When `render = TRUE`: returns a rendered graph object which is an `htmlwidget` of class `grViz`. Similar to ggplot objects, it needs to be printed to see it when not running from command line.

When `render = FALSE`: silently returns a graph object which is of DiagrammeR's class `dgr_graph`. This could be useful if one wants to modify some of the graph attributes before rendering the graph with `render_graph`.

### Examples

    data(agaricus.train, package='xgboost')

    bst <- xgboost(data = agaricus.train$data, label = agaricus.train$label, max_depth = 3,
                   eta = 1, nthread = 2, nrounds = 2,objective = "binary:logistic")
    # plot all the trees
    xgb.plot.tree(model = bst)
    # plot only the first tree and display the node ID:
    xgb.plot.tree(model = bst, trees = 0, show_node_id = TRUE)

    ## Not run:
    # Below is an example of how to save this plot to a file.
    # Note that for `export_graph` to work, the DiagrammeRsvg and rsvg packages must also be installed.
    library(DiagrammeR)
    gr <- xgb.plot.tree(model=bst, trees=0:1, render=FALSE)
    export_graph(gr, 'tree.pdf', width=1500, height=1900)
    export_graph(gr, 'tree.png', width=1500, height=1900)

    ## End(Not run)

[Package xgboost version 0.90.0.2 Index]