--- a
+++ b/classification/bagging/bagSomeData.m
@@ -0,0 +1,53 @@
+%% Script Description
+% A script that runs both RUSBoosting and plots the final ensemble 
+% error.
+
+
+%% Setup the workspace and load the data
+
+    %clean up the variables and remove from the console window.
+    clear all;
+    clc;
+    close all;
+    
+    addpath('data');
+    %load radiologist's dataset
+    LIDCData = xlsread('sample_set.xlsx');
+    
+    %very specific to this dataset
+    X = LIDCData(:,10:83);
+    Y = LIDCData(:,end);
+    
+    %Open Matlab pool for multi-threading
+    if(matlabpool('size') == 0) %checking to see if my pool is already open
+       matlabpool open 4
+    end
+    
+%% run bagging    
+    rfName = 'Random Forest';
+    bagName = 'Bagging';
+    leafs = [1 5 10 20 50 100];
+    
+    tic
+    disp('Running Bagging...');
+    bags = runBagging(X,Y,200,leafs,0);
+    disp('Bagging complete! Running Random Forest...');
+    rfs = runBagging(X,Y,200,leafs,1);
+    toc
+    
+    %close matlab pool
+    matlabpool close;
+    
+%% graph the error
+    tic
+    disp('Random Forest complete! Graphing OOB...');
+    graphBags(bags,leafs,bagName);
+    graphBags(rfs,leafs,rfName);
+    disp('Graphing Complete!');
+    toc
+    
+%% Wrap up
+
+    
+    %send a message out
+    matlabMail('Pinkjello92@gmail.com','Bagging and RF Complete!');