confmat.cpp

计算机人工智能方面的决策树方法 c4.5

/*************************************************************************/
/*                                                                       */
/*      Routine for printing confusion matrices                          */
/*      ---------------------------------------                          */
/*                                                                       */
/*************************************************************************/

#include "defns.h"
#include "c45types.h"
#include "extern.h"

extern FILE *fpScreen;


void PrintConfusionMatrix(ItemNo * ConfusionMat)
/*  --------------------  */    
{
    int Row, Col;

    /*  Print the heading, then each row  */

    fprintf(fpScreen,"\n\n\t");
	printf("\n\n\t");
    ForEach(Col, 0, MaxClass)
    {
		fprintf(fpScreen,"  (%c)", 'a' + Col);
		printf("  (%c)", 'a' + Col);
    }

    fprintf(fpScreen,"\t<-classified as\n\t");
	printf("\t<-classified as\n\t");
    ForEach(Col, 0, MaxClass)
    {
		fprintf(fpScreen," ----");
		printf(" ----");
    }
    fprintf(fpScreen,"\n");
	printf("\n");

    ForEach(Row, 0, MaxClass)
    {
	fprintf(fpScreen,"\t");
	printf("\t");
	ForEach(Col, 0, MaxClass)
	{
	    if ( ConfusionMat[Row*(MaxClass+1) + Col] )
	    {
		fprintf(fpScreen,"%5d", ConfusionMat[Row*(MaxClass+1) + Col]);
		printf("%5d", ConfusionMat[Row*(MaxClass+1) + Col]);
	    }
	    else
	    {
		fprintf(fpScreen,"     ");
		printf("     ");
	    }
	}
	fprintf(fpScreen,"\t(%c): class %s\n", 'a' + Row, ClassName[Row]);
	printf("\t(%c): class %s\n", 'a' + Row, ClassName[Row]);
    }
    fprintf(fpScreen,"\n");
	printf("\n");
}