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decisiontree.cpp
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decisiontree.cpp
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/**
Implementation of decision tree using ID-3 algorithm(for discrete values only)
Author : Sudheesh Singanamalla
References: http://www.decisiontrees.net/
**/
#include<iostream>
#include<fstream>
#include<algorithm>
#include<vector>
#include<string>
#include<map>
#include<cmath>
using namespace std;
int t, attributes;
vector<string> attrib(1);
struct dec_node
{
int attr;
int num_child;
dec_node** child;
string val;
dec_node(int n)
{
num_child = n;
child = new dec_node*[n];
for(int i=0; i<num_child; i++)
{
child[i] = NULL;
}
}
};
class db_tuple
{
public:
vector<string> values;
string tuple_class;
db_tuple()
{
values.resize(10000);
}
void setAttribute(int attr, string val)
{
values[attr] = val;
}
};
db_tuple database[10000];
dec_node *root = NULL;
void print_db(int index[], int siz)
{
for(int i=0; i<siz; i++)
{
for(int j=0; j<attributes; j++)
{
cout<<database[index[i]].values[j]<<" ";
}
cout<<endl;
}
}
int calc_distinct_values(int attr, int index[], vector<string>& val, int siz)
{
int s = 0;
map<string, bool> seen;
seen.clear();
for(int i=0; i<siz; i++)
{
string v = database[index[i]].values[attr];
if(seen[v] == false)
{
val[s++] = v;
seen[v] = true;
}
}
return s;
}
int create_partition(int attr, string val, int index[], int *sub_index, int siz)
{
int s = 0;
for(int i=0; i<siz; i++)
{
string v = database[index[i]].values[attr];
if(v == val)
{
sub_index[s++] = index[i];
//cout<<"inserted "<<index[i]<<endl;
}
}
return s;
}
double extract_info_gain(int index[], int siz)//extracts part of the info_gain from a given database partition..
{
double info = 0.0;
vector<string> val(1);
val.resize(10000);
map<string, int> count_val;
int s = calc_distinct_values(attributes-1, index, val, siz);//the tuple in the database partition belong to 's' different classes..
for(int i=0; i<siz; i++) // counts the occurences of class in the partition..
{
string s = database[index[i]].values[attributes-1];
count_val[s] += 1;
}
for(int i=0; i<s; i++)
{
info += ((double)count_val[val[i]]/siz) * (log(((double)count_val[val[i]]/siz)) / log(2.0));
}
info *= (-1.0);
return info;
}
int attribute_selection(int index[], int siz)
{
double min_info_gain = 99999999.0, sel_attr;
//check which attributes can be split..i.e which attributes of database have more than one distinct values?
for(int i=0; i<attributes-1; i++)
{
double info_gain = 0.0;
vector<string> val(1);
val.resize(10000);
int s = calc_distinct_values(i, index, val, siz);
if(s > 1)//this attribute can be split since it has more than one distinct value..
{
for(int j=0; j<s; j++)
{
int sub_index[10000];
int part_size = create_partition(i, val[j], index, sub_index, siz );
info_gain += ((double)(part_size)/siz) * (double)extract_info_gain(sub_index, part_size);
}
if(info_gain < min_info_gain)
{
min_info_gain = info_gain;
sel_attr =i;
}
}
}
//cout<<"splitting on "<<sel_attr<<" with info = "<<min_info_gain<<endl;
return sel_attr;//this is the attribute selected for splitting..
}
void construct_dec_tree(dec_node *& tree, int index[], int attr, string value, int siz)
{
vector<string> val(1);
val.resize(10000);
int p = calc_distinct_values(attributes-1, index, val, siz);
if(p > 1)
{
int sub_index[10000];
if(attr<0)
{
int new_attr = attribute_selection(index, siz);
int s = calc_distinct_values(new_attr, index, val, siz);
tree = new dec_node(s);
tree->attr = attributes;
tree->val = "";
attr = new_attr;
for(int i=0; i<s; i++)
{
int part_size = create_partition(attr, val[i], index, sub_index, siz);
construct_dec_tree(tree->child[i], sub_index, attr, val[i], part_size);
}
}
else
{
int new_attr = attribute_selection(index, siz);
int s = calc_distinct_values(new_attr, index, val, siz);
tree = new dec_node(s);
tree->attr = attr;
attr = new_attr;
tree->val = value;
for(int i=0; i<s; i++)
{
int part_size = create_partition(attr, val[i], index, sub_index, siz);
construct_dec_tree(tree->child[i], sub_index, attr, val[i], part_size);
}
}
}
else
{
tree = new dec_node(1);
tree->attr = attr;
tree->val = value;
tree->child[0] = new dec_node(1);
tree->child[0]->attr = attributes-1;
tree->child[0]->val = database[index[0]].values[attributes-1];
tree->num_child = 1;
}
}
void extract_rules(dec_node* node, string rules)
{
if(node == NULL)
{
int l = rules.length();
for(int i=10; i<l-4; i++)
{
cout<<rules[i];
}
cout<<endl;
return;
}
rules += node->val;
rules += " ( " + attrib[node->attr] + " ) ";
rules += " -> ";
for(int i=0; i<node->num_child; i++)
{
extract_rules(node->child[i], rules);
}
}
int main()
{
ifstream fin("trans11.txt");
fin>>t>>attributes;
cout<<t;
string s;
attrib.resize(attributes+1);
for(int j=0; j<attributes; j++)
{
fin>>s;
attrib[j] = s;
}
attrib[attributes] = "1";
for(int i=0; i<t; i++)
{
database[i].values.resize(10000);
for(int j=0; j<attributes; j++)
{
fin>>s;
database[i].setAttribute(j, s);
}
}
int index[10000];
for(int i=0; i<t; i++)
{
index[i] = i;
}
//print_db(index, t);
construct_dec_tree(root, index, -1, "tree", t);
//cout<<"drg";
cout<<"The following are the inferred rules:\n";
extract_rules(root, "");
return 0;
}