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LinearRegression.java
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LinearRegression.java
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package ml_lab;
import java.util.*;
import java.sql.*;
public class LinearRegression
{
static int in,an,i;
static float temp=1;
static float data[][];
static float mean[]=new float[2];
static String db;
static String tab;
public static void main(String[] args)
{
Scanner obj=new Scanner(System.in);
System.out.println("Java Program for Linear Regression...");
System.out.println("Enter the database name..");
db=obj.nextLine();
System.out.println("Enter the table name..");
tab=obj.nextLine();
try
{
Class.forName("com.mysql.jdbc.Driver");
Connection conn = null;
conn = DriverManager.getConnection("jdbc:mysql://localhost:3306/"+db,"root","");
Statement st=conn.createStatement();
String tot_rows="SELECT COUNT(*) as cnt FROM "+tab;
ResultSet rs=st.executeQuery(tot_rows);
rs.next();
in=rs.getInt("cnt");
data=new float[2][in];
rs.close();
String que="SELECT * FROM "+tab;
ResultSet rs1=st.executeQuery(que);
ResultSetMetaData metadata = rs1.getMetaData();
int columnCount = metadata.getColumnCount();
int r=0;
while (rs1.next())
{
for (i = 1; i <=columnCount; i++)
{
data[i-1][r]=rs1.getFloat(i);
}
r++;
}
rs1.close();
}
catch(Exception ex)
{
System.out.println("Exception: " + ex.getMessage());
}
Arrays.fill(mean,0);
for(int i=0;i<2;i++)
{
for(int j=0;j<in;j++)
{
mean[i]+=data[i][j];
}
}
for(i=0;i<2;i++)
{
mean[i]/=in;
}
float diff[][]=new float[2][in];
for(i=0;i<2;i++)
{
for(int j=0;j<in;j++)
{
diff[i][j]=data[i][j]-mean[i];
}
}
float num=0,denom=0;
for(int j=0;j<in;j++)
{
temp=1;
for(i=0;i<2;i++)
{
temp*=diff[i][j];
}
num+=temp;
}
for(i=0;i<in;i++)
{
denom+=diff[0][i]*diff[0][i];
}
float b1=num/denom;
float b0=mean[1]-(b1*mean[0]);
System.out.println("b0--->"+b0+"\n"+"b1--->"+b1);
System.out.println("Y--->"+b0+"+"+b1+"x");
}
}