From 99d3fbf29e32177c0fdf5a7f0aae4d52f969c038 Mon Sep 17 00:00:00 2001 From: Richard Townsend Date: Sat, 26 Jul 2014 05:45:53 -0700 Subject: [PATCH] Updated Trees (markdown) --- Trees.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/Trees.md b/Trees.md index ae8be77..6928bce 100644 --- a/Trees.md +++ b/Trees.md @@ -7,4 +7,7 @@ ID3 is a decision tree induction algorithm which splits on the Attribute which g Random Trees are structurally identical to those generated by ID3, but the split Attribute is chosen randomly. Golearn's implementation allows you to choose up to *k* nodes for consideration at each split. ##Random forests -Random forests are a bagged ensemble technique which combines multiple Random Trees and outputs a classification via a majority vote. \ No newline at end of file +Random forests are a bagged ensemble technique which combines multiple Random Trees and outputs a classification via a majority vote. + +**See also: +[`examples/knnclassifier/knnclassifier_iris.go`](https://github.com/sjwhitworth/golearn/blob/master/examples/knnclassifier/knnclassifier_iris.go)** \ No newline at end of file