Convert Text File Into Arff File In Weka | Machine Learning Weka Arff File| Weka in Java |Weka

Waikato Environment for Knowledge Analysis (Weka) is a suite of machine learning software written in Java, developed at the University of Waikato, New Zealand. It is free software licensed under the GNU General Public License.
Convert Text File Into Arff File In Weka when you are using Weka Library it is important to convert a text file into arff file.

About Arff file:

DescriptionAn ARFF (Attribute-Relation File Format) file is an ASCII text file that describes a list of instances sharing a set of attributes.
ARFF files were developed by the Machine Learning Project ARFF files have two distinct sections.

Here is the Conversion Video on that 

Here Is the Code 

package WekaDemo;

import java.io.File;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.FileOutputStream;
import java.io.IOException;
import java.util.ArrayList;

public class Txt2Arff {
 static ArrayList inList = new ArrayList();
 static String colNames[];
 static String colTypes[];
 static String indata[][];
 static ArrayList clsList = new ArrayList();
 static ArrayList disCls = new ArrayList();

 static String res = "";

 public String genTrain() throws IOException {

  File fe = new File("C:\\Users\\VIKRANT\\Desktop\\Testing\\Weka\\input2.txt");
  FileInputStream fis = new FileInputStream(fe);
  byte bt[] = new byte[fis.available()];
  fis.read(bt);
  fis.close();
  String st = new String(bt);
  String s1[] = st.trim().split("\n");
  String col[] = s1[0].trim().split("\t");
  colNames = col;
  colTypes = s1[1].trim().split("\t");
  for (int i = 2; i < s1.length; i++) {
   inList.add(s1[i]);
  }
  ArrayList at = new ArrayList();
  for (int i = 0; i < inList.size(); i++) {
   String g1 = inList.get(i).toString();
   if (!g1.contains("?")) {
    at.add(g1);
    res = res + g1 + "\n";
   }
  }
  indata = new String[at.size()][colNames.length - 1]; // remove cls

  for (int i = 0; i < at.size(); i++) {
   String s2[] = at.get(i).toString().trim().split("\t");
   for (int j = 0; j < s2.length - 1; j++) {
    indata[i][j] = s2[j].trim();
   }
   if (!disCls.contains(s2[s2.length - 1].trim()))
    disCls.add(s2[s2.length - 1].trim());
   clsList.add(s2[s2.length - 1]);
  }
  String ar = "@relation tra\n";
  try {

   for (int i = 0; i < colNames.length - 1; i++) // all columName which you have split and store in Colname
   {
    // where yor attitude in nominal or you can say character value
    if (colTypes[i].equals("con"))
     ar = ar + "@attribute " + colNames[i].trim().replace(" ", "_") + " real\n";
    else {

     ArrayList at1 = new ArrayList();
     for (int j = 0; j < indata.length; j++) // your all numeric data
     {
      if (!at1.contains(indata[j][i].trim()))
       at1.add(indata[j][i].trim());
     }
     String sg1 = "{";
     for (int j = 0; j < at1.size(); j++) {
      sg1 = sg1 + at1.get(j).toString().trim() + ",";
     }
     sg1 = sg1.substring(0, sg1.lastIndexOf(","));
     sg1 = sg1 + "}";

     ar = ar + "@attribute " + colNames[i].trim().replace(" ", "_") + " " + sg1 + "\n";
    }
   }

   // end of attribute

   // now adding a class Attribute

   ArrayList dis = new ArrayList();
   String c1 = "";
   for (int i = 0; i < clsList.size(); i++) {
    String g = clsList.get(i).toString().trim();
    if (!dis.contains(g)) {
     dis.add(g);
     c1 = c1 + g + ",";
    }
   }
   c1 = c1.substring(0, c1.lastIndexOf(","));
   ar = ar + "@attribute class {" + c1 + "}\n"; // attribute name
   // adding class attribute is done
   // now data
   ar = ar + "@data\n";

   for (int i = 0; i < indata.length; i++) {
    String g1 = "";
    for (int j = 0; j < indata[0].length; j++) {
     g1 = g1 + indata[i][j] + ",";
    }
    g1 = g1 + clsList.get(i);
    ar = ar + g1 + "\n";
   }

  } catch (Exception e) {
   e.printStackTrace();
  }
  return ar;
 }

 public static void main(String[] args) throws IOException {
  // TODO Auto-generated method stub
  Txt2Arff T2A = new Txt2Arff();

  String ar1 = T2A.genTrain();

  File fe1 = new File("C:\\Users\\VIKRANT\\Desktop\\Testing\\Weka\\tr.arff");
  FileOutputStream fos1 = new FileOutputStream(fe1);
  fos1.write(ar1.getBytes());
  fos1.close();

 }

}