#include <iostream.h>
#include <math.h>
#include <stdlib.h>

/*
// 1. Title: 1984 United States Congressional Voting Records Database
// 
// 2. Source Information:
//     (a) Source:  Congressional Quarterly Almanac, 98th Congress, 
//                  2nd session 1984, Volume XL: Congressional Quarterly Inc. 
//                  Washington, D.C., 1985.
//     (b) Donor: Jeff Schlimmer (Jeffrey.Schlimmer@a.gp.cs.cmu.edu)
//     (c) Date: 27 April 1987 
// 
// 4. Relevant Information:
//       This data set includes votes for each of the U.S. House of
//       Representatives Congressmen on the 16 key votes identified by the
//       CQA.  The CQA lists nine different types of votes: voted for, paired
//       for, and announced for (these three simplified to yea), voted
//       against, paired against, and announced against (these three
//       simplified to nay), voted present, voted present to avoid conflict
//       of interest, and did not vote or otherwise make a position known
//       (these three simplified to an unknown disposition).
//
// 5. Number of Instances: 435 (267 democrats, 168 republicans)
//
// MSB NOTE: Any voting record (instance) that contained >=1 unknowns was removed.
// MSB NOTE: This left only 232 of the original 435 instances.
//
// 6. Number of Attributes: 16 + class name = 17 (all Boolean valued)
//
// MSB NOTE: All attribute values were changed to 0s and 1s as noted below
//
// 7. Attribute Information:
//   1. Class Name: 2 (0=democrat, 1=republican)
//   2. handicapped-infants: 2 (1=y,0=n)
//   3. water-project-cost-sharing: 2 (1=y,0=n)
//   4. adoption-of-the-budget-resolution: 2 (1=y,0=n)
//   5. physician-fee-freeze: 2 (1=y,0=n)
//   6. el-salvador-aid: 2 (1=y,0=n)
//   7. religious-groups-in-schools: 2 (1=y,0=n)
//   8. anti-satellite-test-ban: 2 (1=y,0=n)
//   9. aid-to-nicaraguan-contras: 2 (1=y,0=n)
//  10. mx-missile: 2 (1=y,0=n)
//  11. immigration: 2 (1=y,0=n)
//  12. synfuels-corporation-cutback: 2 (1=y,0=n)
//  13. education-spending: 2 (1=y,0=n)
//  14. superfund-right-to-sue: 2 (1=y,0=n)
//  15. crime: 2 (1=y,0=n)
//  16. duty-free-exports: 2 (1=y,0=n)
//  17. export-administration-act-south-africa: 2 (1=y,0=n)
*/

#define N 232

int table[N][17]={
0,0,1,1,0,1,1,0,0,0,0,0,0,1,1,1,1,
1,0,1,0,1,1,1,0,0,0,0,0,1,1,1,0,1,
0,1,1,1,0,0,0,1,1,1,0,1,0,0,0,1,1,
0,1,1,1,0,0,0,1,1,1,0,0,0,0,0,1,1,
0,1,0,1,0,0,0,1,1,1,1,0,0,0,0,1,1,
0,1,0,1,0,0,0,1,1,1,0,1,0,0,0,1,1,
0,1,1,1,0,0,0,1,1,1,0,1,0,0,0,1,1,
1,1,0,0,1,1,0,1,1,1,0,0,1,1,1,0,1,
0,1,1,1,0,0,0,1,1,1,0,1,0,0,0,1,1,
1,0,1,0,1,1,1,0,0,0,0,0,1,1,1,0,0,
0,1,1,1,0,0,0,1,1,1,1,0,0,1,0,1,1,
1,0,1,0,1,1,1,0,0,0,0,0,1,1,1,0,1,
0,1,1,1,0,0,0,1,1,1,0,0,0,0,0,1,1,
1,0,1,0,1,1,1,0,0,0,0,0,1,1,1,0,0,
1,1,1,0,1,1,1,0,0,0,0,0,0,1,1,0,1,
1,0,1,0,1,1,1,0,0,0,1,0,1,1,1,0,0,
0,1,0,1,0,0,0,1,1,1,1,1,0,1,0,1,1,
0,1,0,1,0,0,0,1,1,1,0,0,0,0,0,0,1,
0,1,0,1,0,0,0,1,1,1,0,0,0,0,0,1,1,
0,1,1,1,0,0,0,1,1,1,0,0,0,0,0,0,1,
0,1,1,1,0,0,0,1,1,0,0,0,0,0,1,0,1,
0,1,1,1,0,0,0,1,1,1,0,1,0,0,0,1,1,
1,1,1,0,1,1,1,0,0,0,1,0,1,1,1,0,0,
1,0,1,0,1,1,1,0,0,0,1,1,1,1,1,0,0,
1,0,1,0,1,1,1,0,0,0,1,1,1,1,1,0,1,
1,0,1,0,1,1,1,0,0,0,1,0,1,1,1,0,1,
1,0,1,0,1,1,1,0,0,0,1,0,1,1,1,0,1,
1,0,1,0,1,1,1,0,0,0,0,0,1,1,1,0,0,
0,1,1,1,0,0,0,1,1,1,0,1,0,0,0,0,1,
1,1,1,0,1,1,1,1,0,0,0,0,1,1,1,0,1,
1,0,1,0,1,1,1,1,0,0,0,1,1,1,1,0,1,
1,0,1,0,1,1,1,0,0,0,1,0,1,1,1,0,0,
0,1,1,1,0,0,0,1,1,1,0,0,0,0,0,1,1,
1,1,1,1,1,0,0,1,1,1,1,1,0,0,1,0,1,
1,1,0,1,1,1,0,1,0,1,1,0,0,1,1,0,1,
0,1,0,1,0,0,1,1,1,1,1,1,0,0,1,1,1,
0,0,1,1,1,1,1,0,0,0,1,1,0,1,1,0,0,
0,0,1,1,1,1,1,0,1,1,1,1,1,1,1,0,1,
0,1,1,1,0,1,1,0,0,0,1,1,0,1,1,0,1,
1,0,0,0,1,1,0,0,0,0,1,0,1,1,1,0,0,
1,0,0,0,1,1,1,0,0,0,1,0,1,1,1,0,1,
1,0,0,0,1,1,1,0,0,0,0,0,1,1,1,0,0,
0,0,0,1,0,1,1,0,0,0,1,1,1,1,1,0,1,
1,0,0,0,1,1,1,0,0,0,1,0,1,1,1,0,0,
1,0,0,0,1,1,1,0,0,0,0,0,1,1,1,0,0,
0,0,1,1,0,1,1,1,0,1,1,1,0,1,1,0,1,
0,1,0,1,0,0,0,1,1,1,1,0,0,0,0,1,1,
0,1,0,1,0,0,0,1,1,1,1,1,0,0,0,1,1,
0,1,0,1,0,0,0,1,0,1,1,1,0,0,0,1,1,
0,1,0,1,0,1,1,0,0,0,0,0,0,0,0,0,1,
0,1,0,0,0,1,1,1,0,0,1,1,0,0,1,0,1,
0,1,1,1,0,0,1,1,1,1,1,0,0,0,0,0,1,
0,1,0,0,0,1,1,0,0,0,0,1,1,0,1,0,1,
0,1,0,1,0,1,1,1,0,0,0,1,0,0,1,0,1,
0,1,1,1,0,0,0,0,1,1,0,1,0,0,0,1,1,
1,0,1,0,1,1,1,0,0,0,0,0,1,1,1,0,1,
0,0,0,1,0,0,0,1,1,1,1,0,0,0,0,1,1,
0,1,0,1,0,0,0,1,1,1,0,1,0,0,0,1,1,
1,1,1,1,1,1,0,1,0,0,0,0,1,1,1,0,1,
0,0,1,1,0,0,0,0,1,1,1,1,0,0,0,1,1,
1,0,0,0,1,1,1,0,0,0,0,0,1,1,1,0,0,
1,0,0,0,1,1,1,0,0,0,1,0,1,0,1,0,1,
0,0,0,1,0,0,1,0,1,1,1,0,0,0,1,0,1,
1,0,0,0,1,1,1,0,0,0,1,0,1,1,1,0,1,
1,0,0,0,1,1,1,0,0,0,1,0,1,1,1,0,0,
1,0,1,0,1,1,1,0,0,0,1,1,1,1,0,0,1,
0,0,0,1,0,0,1,1,1,1,1,0,0,0,1,0,1,
0,1,0,1,0,0,1,1,1,1,0,0,0,0,0,1,1,
1,0,0,0,1,0,0,1,1,1,1,0,0,1,1,0,1,
1,0,0,0,1,1,1,1,1,1,1,0,1,1,1,0,1,
1,0,1,0,1,1,1,0,0,0,0,0,1,1,1,0,1,
0,0,0,0,0,0,0,1,1,1,1,0,1,1,1,1,1,
1,0,1,0,1,1,1,0,0,0,1,1,1,1,1,0,1,
0,0,0,1,0,0,0,1,1,1,1,0,0,1,0,1,1,
1,1,1,0,1,1,1,0,0,0,1,0,1,1,1,0,1,
0,0,1,1,0,0,1,0,1,1,1,1,0,1,0,1,1,
0,0,0,1,0,0,1,1,1,1,1,1,0,1,1,0,1,
1,0,1,0,1,1,1,0,0,0,0,0,1,1,1,0,0,
1,1,1,0,1,1,1,1,0,0,0,0,1,1,1,0,0,
1,0,1,0,1,1,1,0,0,0,1,0,1,1,1,0,0,
0,0,1,0,0,1,1,0,0,0,0,0,1,1,1,1,1,
0,0,0,0,0,1,1,1,0,0,0,0,1,1,1,0,1,
0,0,1,1,0,1,1,1,0,0,0,1,1,1,1,0,1,
1,0,1,0,1,1,1,1,0,0,0,0,1,1,1,0,1,
1,1,0,1,1,1,1,1,1,0,1,0,1,0,1,1,1,
1,1,0,1,1,1,1,1,1,0,1,1,1,0,1,1,1,
0,1,0,1,0,0,0,1,1,1,1,1,0,0,1,0,1,
0,0,0,0,0,1,1,0,0,0,1,1,1,1,1,0,1,
0,0,1,1,0,0,0,1,1,1,1,0,0,0,0,1,1,
1,0,0,1,1,0,0,1,1,1,1,0,0,0,1,1,1,
0,1,0,1,0,0,0,1,1,1,1,0,0,0,0,1,1,
0,0,0,1,0,0,0,1,1,1,1,1,0,0,0,1,1,
0,0,0,1,0,0,0,1,1,1,1,1,0,0,0,1,1,
0,0,1,1,0,0,0,1,1,1,1,1,0,0,0,1,1,
0,1,0,1,0,0,0,1,1,1,0,0,0,0,0,1,1,
0,0,0,0,0,0,1,1,1,1,0,1,0,0,1,1,1,
0,0,0,1,0,0,0,1,1,1,0,0,0,0,0,1,1,
0,0,0,1,0,0,0,1,1,1,0,0,0,0,1,1,1,
0,1,1,1,0,0,0,1,1,1,0,0,0,0,0,1,1,
0,1,0,1,0,0,1,1,1,1,1,1,0,0,0,1,1,
0,1,0,1,0,0,0,1,1,1,1,0,0,0,0,1,1,
1,0,0,1,1,1,1,1,0,0,0,0,1,1,1,0,1,
0,0,0,1,0,0,1,1,1,1,1,0,1,0,0,0,1,
1,0,0,0,1,1,1,0,0,0,1,0,1,0,1,0,1,
0,1,1,1,0,0,0,1,1,1,1,1,0,0,0,0,1,
0,0,0,1,0,0,1,1,1,1,0,0,0,0,0,1,1,
1,0,1,0,1,1,1,0,0,0,1,0,1,1,1,0,1,
0,0,0,1,0,0,0,1,1,1,0,1,0,0,0,1,1,
0,0,1,1,0,0,1,0,1,1,0,1,0,1,0,1,1,
1,1,1,0,1,1,1,0,0,0,1,0,1,1,1,0,1,
1,0,1,0,1,1,1,0,0,0,1,0,1,1,1,0,0,
0,0,1,1,0,0,0,0,1,1,0,1,0,0,1,1,1,
1,0,0,0,1,1,0,0,0,0,0,0,1,1,1,0,1,
0,0,0,1,0,0,1,1,1,1,0,1,0,0,1,1,1,
1,0,1,1,1,1,1,1,0,1,1,0,1,1,1,0,1,
1,0,1,0,1,1,1,0,0,0,0,0,1,1,1,0,1,
1,0,1,0,1,1,1,0,0,1,1,0,1,1,1,0,1,
1,0,1,0,1,1,1,0,0,0,1,0,1,1,1,0,1,
1,0,0,0,1,1,1,0,0,0,1,0,1,0,1,0,1,
0,0,0,1,0,0,0,1,1,1,0,0,0,0,0,1,1,
0,1,0,1,0,0,1,1,1,0,0,0,1,1,0,0,1,
1,0,0,0,1,1,1,1,0,0,1,0,0,0,1,1,1,
0,1,0,1,0,0,0,1,1,1,1,1,0,0,1,1,1,
0,1,0,1,0,0,0,0,1,1,1,0,0,0,0,1,1,
0,1,0,1,0,0,0,1,1,1,1,1,0,0,0,1,1,
1,0,1,0,1,1,1,0,0,0,0,0,1,1,1,0,0,
1,0,1,0,1,1,1,0,0,0,0,0,1,1,1,0,0,
0,1,1,1,0,0,1,1,1,1,0,0,0,0,0,1,1,
1,0,1,0,1,1,1,0,0,0,0,0,1,1,1,0,1,
0,1,0,1,0,0,0,1,1,1,1,0,0,0,0,0,1,
0,1,0,1,0,0,0,1,1,1,1,0,0,0,1,1,1,
1,0,0,0,1,1,0,0,0,0,0,0,1,0,1,0,0,
0,0,0,1,0,0,0,1,1,1,0,1,0,0,0,1,1,
0,1,0,1,0,0,0,1,1,1,0,0,0,0,0,0,1,
0,1,0,1,0,0,0,1,1,1,1,0,0,0,0,0,1,
0,1,0,1,0,0,0,1,1,1,1,0,0,0,0,0,1,
1,0,0,0,1,1,1,0,0,0,1,0,1,0,1,0,1,
1,1,0,0,0,0,0,1,1,1,1,0,0,0,1,0,1,
0,1,0,1,0,0,0,1,1,1,0,0,0,0,0,0,1,
0,1,1,1,0,0,0,1,1,1,0,0,0,0,0,1,1,
1,1,0,0,1,1,0,1,0,0,1,0,0,0,1,1,1,
1,0,0,0,1,1,1,0,0,0,0,0,1,1,1,1,0,
1,0,0,1,1,1,1,1,1,0,1,0,0,0,1,0,1,
1,0,0,0,1,1,1,0,0,0,0,0,1,1,1,0,1,
1,0,0,0,1,1,1,0,0,0,1,0,1,1,1,0,0,
0,0,0,1,0,0,0,1,1,1,1,0,0,0,1,0,1,
1,0,0,0,1,1,1,0,0,0,0,0,1,1,1,0,1,
0,0,0,1,0,0,1,1,1,1,1,1,0,0,0,1,1,
0,1,1,1,0,1,1,0,1,0,1,1,0,1,1,1,1,
0,1,0,1,0,0,1,1,1,0,1,1,0,1,1,1,1,
0,1,1,1,0,0,1,1,1,1,1,1,0,1,1,1,1,
1,0,0,1,1,1,1,0,0,0,1,0,1,1,1,1,1,
0,0,1,0,0,0,0,1,1,1,1,1,0,0,0,1,1,
0,0,1,1,0,0,1,1,1,1,1,0,0,1,1,1,1,
1,0,0,0,1,1,0,1,1,1,1,0,1,1,1,0,1,
1,0,0,0,1,1,1,1,0,0,1,0,1,1,1,0,1,
1,0,0,0,1,1,1,0,0,0,0,0,1,1,1,0,0,
1,0,0,0,1,1,1,0,0,0,1,0,1,1,1,0,0,
1,0,0,0,1,1,1,0,0,0,0,0,1,1,1,0,0,
1,0,0,0,1,1,1,0,0,0,1,0,1,1,1,0,0,
0,1,0,0,0,0,1,1,1,1,1,0,0,0,1,1,1,
1,0,0,0,1,1,1,0,0,0,1,0,1,1,1,1,0,
0,0,0,1,0,0,1,1,1,1,1,0,0,1,0,0,1,
0,1,1,1,0,0,0,1,1,1,1,0,0,0,0,1,1,
1,0,1,1,1,1,1,0,0,0,1,0,1,1,1,0,1,
1,0,1,0,1,1,1,1,1,0,0,1,1,1,1,1,1,
0,0,0,0,0,0,1,0,1,1,0,1,1,1,1,1,0,
0,1,0,0,0,0,0,1,1,1,1,0,0,0,0,1,1,
0,0,1,1,0,0,1,0,1,1,1,0,0,1,1,0,1,
0,1,1,1,0,0,0,1,1,1,1,0,0,1,0,0,1,
1,0,1,0,1,1,1,0,0,0,0,1,1,1,1,0,0,
0,1,1,0,1,0,0,1,1,1,0,1,0,0,1,0,1,
1,0,1,0,1,1,1,0,0,0,0,0,1,1,1,0,1,
0,1,1,1,0,0,0,1,1,1,0,1,0,0,0,0,1,
1,0,1,0,1,1,1,0,0,0,1,0,1,1,1,0,0,
0,0,0,1,0,0,0,1,1,1,0,0,0,0,0,1,1,
0,1,0,1,0,0,0,1,1,1,0,0,0,0,0,1,1,
0,1,0,1,0,0,0,1,1,1,1,0,0,0,1,1,1,
1,1,0,0,1,1,1,0,0,0,0,1,1,1,1,0,0,
1,0,0,0,1,1,1,0,0,0,1,1,1,0,1,0,1,
1,0,0,0,1,1,0,1,0,1,1,0,0,0,1,0,1,
0,0,0,1,0,0,0,1,1,1,1,1,0,0,0,1,1,
1,0,0,0,1,1,1,1,0,0,1,0,1,0,1,1,1,
1,0,0,0,1,1,1,0,0,0,1,0,1,1,1,0,1,
1,1,0,0,1,1,1,0,0,0,1,0,1,1,1,0,0,
1,0,1,1,1,1,1,1,1,1,0,0,1,1,1,0,1,
0,0,1,0,0,0,1,1,0,1,0,1,0,0,0,1,1,
1,0,0,1,1,1,1,1,1,1,1,0,1,1,1,1,1,
1,0,0,1,1,1,1,1,0,0,1,1,1,1,1,0,1,
1,1,0,1,1,0,0,0,1,1,1,0,0,0,1,1,1,
1,0,0,0,1,1,1,0,0,0,0,0,1,1,1,0,0,
1,0,0,0,1,1,1,0,0,0,0,0,1,1,1,0,0,
0,1,0,1,0,0,1,1,1,1,1,0,0,1,0,0,1,
0,1,1,1,0,0,1,1,1,1,1,1,1,1,0,0,1,
1,1,1,0,1,1,1,0,0,0,1,1,0,1,0,0,0,
1,1,1,0,1,1,1,0,0,0,0,1,0,1,1,0,1,
0,0,1,0,0,1,1,0,0,0,1,1,0,1,1,0,0,
0,0,1,1,0,0,1,1,1,0,1,0,0,0,0,1,1,
1,0,1,0,1,1,1,0,0,0,0,0,0,1,1,0,1,
1,0,1,0,1,1,1,0,0,0,0,0,1,1,1,0,1,
0,0,1,0,1,1,1,0,0,0,0,1,1,0,1,0,0,
1,0,0,0,1,1,1,0,0,0,0,0,1,1,1,0,1,
1,0,0,0,1,1,1,0,0,0,0,0,1,1,1,0,1,
0,1,1,1,0,1,1,0,1,1,1,1,0,0,0,0,1,
0,1,1,1,1,1,1,0,0,0,0,1,1,1,1,0,1,
0,1,1,0,0,1,1,0,0,0,0,1,1,1,1,1,0,
0,1,1,0,0,0,0,0,1,1,0,1,0,0,0,1,0,
1,1,1,0,1,1,1,0,0,0,0,1,1,1,1,0,1,
0,1,1,1,0,1,1,0,1,0,0,1,0,1,0,1,1,
0,0,1,1,0,1,1,0,1,0,0,0,0,0,0,0,1,
1,0,1,0,1,1,1,0,0,0,1,1,1,1,1,0,0,
1,1,1,0,1,1,1,0,0,0,1,0,1,1,1,0,1,
1,0,0,0,1,1,1,0,0,0,0,0,1,1,1,0,1,
0,1,0,1,0,1,1,0,0,1,1,0,0,1,1,0,1,
0,0,0,0,1,1,1,0,0,0,0,1,1,1,1,0,0,
1,0,0,0,1,1,1,0,0,0,0,0,1,1,1,0,0,
1,0,0,0,1,1,1,0,0,0,0,1,1,1,1,0,1,
0,1,0,1,0,0,1,1,1,1,1,1,0,0,0,0,1,
1,0,0,0,1,1,1,0,0,0,1,0,1,1,1,0,1,
0,1,1,1,0,0,0,1,1,1,0,0,0,0,0,0,1,
1,1,1,0,1,1,1,0,0,0,1,0,0,1,1,0,1,
0,1,1,1,0,0,0,1,1,1,1,1,0,1,0,0,1,
0,1,1,1,0,0,0,1,1,0,1,0,0,0,0,0,1,
0,1,1,1,0,0,0,1,1,1,0,0,0,0,0,0,1,
1,1,1,1,1,1,1,1,1,0,1,0,0,1,1,0,1,
0,0,1,1,0,1,1,1,1,0,0,1,0,1,0,1,1,
0,0,0,1,0,0,1,1,1,1,0,1,0,0,0,1,1,
0,0,1,1,0,0,1,1,1,1,0,1,0,0,1,1,1,
0,1,0,1,0,0,0,1,1,1,1,0,0,0,0,1,1,
1,0,0,0,1,1,1,1,1,0,1,0,1,1,1,0,1,
1,0,0,1,1,1,1,0,0,1,1,0,1,1,1,0,1,
0,0,0,1,0,0,0,1,1,1,1,0,0,0,0,0,1};

// Mitchell's Entropy function
double Entropy(int p, int n) {
  double p1, p2, t1, t2;
  if (p) {
    p1=((double) p)/((double) p+n);
    t1=(-p1*log2(p1));
  } else { t1=0.; }
  if (n) {
    p2=((double) n)/((double) p+n);
    t2=(-p2*log2(p2));
  } else { t2=0.; }
  return(t1+t2);
}

// Russell and Norvig's information content function, I,
// tailored for the case n=2 (see page 659)
double I(double p1, double p2) {
  double t1, t2;
  if (p1) {
    t1=(-p1*log2(p1));
  } else { t1=0.; }
  if (p2) {
    t2=(-p2*log2(p2));
  } else { t2=0.; }
  return(t1+t2);
}

void Normalize(double w[], int size) {
  double sum=0.;
  for (int i=0; i<size; i++) sum+=w[i];
  for (int i=0; i<size; i++) w[i]=w[i]/sum;
}

int main() {
  int pos[17], neg[17];
  double wpos[17], wneg[17], weight[N];
  
  // Test the Entropy function
  double e;
  e=Entropy(0,1); cout << "Entropy(0,1) = " << e << endl;
  e=Entropy(1,0); cout << "Entropy(1,0) = " << e << endl;
  e=Entropy(2,2); cout << "Entropy(2,2) = " << e << endl;
  e=Entropy(9,5); cout << "Entropy(9,5) = " << e << endl;
  e=Entropy(5,9); cout << "Entropy(5,9) = " << e << endl;

  // Test the information content function
  double H;
  H=I(0.0,1.0); cout << "I(0,1) = " << H << endl;
  H=I(1.0,0.0); cout << "I(1,0) = " << H << endl;
  H=I(0.5,0.5); cout << "I(2,2) = " << H << endl;
  H=I(9./14.,5./14.); cout << "I(9,5) = " << H << endl;
  H=I(5./14.,9./14.); cout << "I(5,9) = " << H << endl;

  for(int j=0; j<17; j++) {
    pos[j]=0;
    neg[j]=0;
    for(int i=0; i<N; i++) {
      if(table[i][j]) pos[j]++;
      else neg[j]++;
    }
    printf("Attribute %2d: %3d+, %3d- (%f)\n",j,pos[j],neg[j],Entropy(pos[j],neg[j]));
  }

  // weighted
  for(int i=0; i<N; i++) weight[i]=1./((double) N);
  // the following gives the same answer
  // for(int i=0; i<N; i++) weight[i]=1.;
  // Normalize(weight,N);
  for(int j=0; j<17; j++) {
    wpos[j]=0.;
    wneg[j]=0.;
    for(int i=0; i<N; i++) {
      if(table[i][j]) wpos[j]+=weight[i];
      else wneg[j]+=weight[i];
    }
    printf("Attribute %2d: %f+, %f- (%f)\n",j,wpos[j],wneg[j],I(wpos[j],wneg[j]));
  }
}