Randomforest implemented

Author: anumehaagrawal

md/Random-Forest.md

@@ -1,3 +1,23 @@
-#Random Forest
+# Random Forest
 
-##function ##
+__function__ RANDOMFOREST( S,F ) __return__ solution:  
+   __input__ S --> training set consisting of (Xi,Yi)  
+    F --> No. of features  
+  &emsp;&emsp;H <-- null  
+  
+  &emsp;for __each__ i 1,..B(no.of trees) __do__  
+    &emsp;&emsp;&emsp;h(i) --> RANDOMISEDTREE( S(i),F )  
+    &emsp;&emsp;&emsp;H <-- H U {h(i)}  
+    &emsp;&emsp;&emsp;__return__ H
+    
+__function__ RANDOMISEDTREE(S,F) __return__ learnt_tree :
+
+  &emsp;for each node of the tree do  
+    &emsp;&emsp;&emsp;f <-- Randomised subset of F  
+    &emsp;&emsp;&emsp;Split and choose best feature in f
+    
+    
+    
+    
+    
+