cc.mallet.extract.PerFieldF1Evaluator Maven / Gradle / Ivy

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MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text.

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/* Copyright (C) 2003 Univ. of Massachusetts Amherst, Computer Science Dept.
   This file is part of "MALLET" (MAchine Learning for LanguagE Toolkit).
   http://www.cs.umass.edu/~mccallum/mallet
   This software is provided under the terms of the Common Public License,
   version 1.0, as published by http://www.opensource.org.  For further
   information, see the file `LICENSE' included with this distribution. */
package cc.mallet.extract;


import java.io.PrintStream;
import java.io.OutputStream;
import java.text.DecimalFormat;
import java.util.Iterator;

import cc.mallet.types.Label;
import cc.mallet.types.LabelAlphabet;
import cc.mallet.types.MatrixOps;

/**
 * Created: Oct 8, 2004
 *
 * @author  0) || (numTrue[i] > 0)) {
        totalF1 += F1;
        totalFields++;
      }
      Label name = dict.lookupLabel (i);
      out.println (name+"\t"+f.format(P)+"\t"+f.format(R)+"\t"+f.format(F1));
    }

    int totalCorr = MatrixOps.sum (numCorr);
    int totalPred = MatrixOps.sum (numPred);
    int totalTrue = MatrixOps.sum (numTrue);

    double P = ((double)totalCorr) / totalPred;
    double R = ((double)totalCorr) / totalTrue;
    double F1 = (2 * P * R) / (P + R);
    out.println ("OVERALL (micro-averaged) P="+f.format(P)+" R="+f.format(R)+" F1="+f.format(F1));
    out.println ("OVERALL (macro-averaged) F1="+f.format(totalF1/totalFields));
    out.println();
  }

}