List of incorrect() Examples

Examples of incorrect()

weka.classifiers.Evaluation.incorrect()
Gets the number of instances incorrectly classified (that is, for which an incorrect prediction was made). (Actually the sum of the weights of these instances) @return the number of incorrectly classified instances

Examples of weka.classifiers.Evaluation.incorrect()

  // reset the weight back to its original value
  test.instance(k).setWeight(-test.instance(k).weight());
      }
      eval.evaluateModel(copies[j], test);
    }
    return eval.incorrect();
  }
  
  /**
   * Returns the revision string.
   *

View Full Code Here

Examples of weka.classifiers.Evaluation.incorrect()

    
  if (!m_isLeaf) {
      m_isLeaf = true;
      eval.evaluateModel(this, m_train);
      m_isLeaf = false;
      m_numIncorrectModel = eval.incorrect();
      for (int i = 0; i < m_sons.length; i++) m_sons[i].modelErrors();
  } else {
      eval.evaluateModel(this, m_train);
      m_numIncorrectModel = eval.incorrect();
  }

View Full Code Here

Examples of weka.classifiers.Evaluation.incorrect()

      m_isLeaf = false;
      m_numIncorrectModel = eval.incorrect();
      for (int i = 0; i < m_sons.length; i++) m_sons[i].modelErrors();
  } else {
      eval.evaluateModel(this, m_train);
      m_numIncorrectModel = eval.incorrect();
  }
    }
    
    /**
     *Updates the numIncorrectTree field for all nodes. This is needed for calculating the alpha-values.

View Full Code Here

Examples of weka.classifiers.Evaluation.incorrect()

  // reset the weight back to its original value
  test.instance(k).setWeight(-test.instance(k).weight());
      }
      eval.evaluateModel(copies[j], test);
    }
    return eval.incorrect();
  }
  
  /**
   * Returns the revision string.
   *

View Full Code Here

Examples of weka.classifiers.Evaluation.incorrect()

    int current = 0;
    result[current++] = new Double(train.numInstances());
    result[current++] = new Double(eval.numInstances());
    
    result[current++] = new Double(eval.correct());
    result[current++] = new Double(eval.incorrect());
    result[current++] = new Double(eval.unclassified());
    result[current++] = new Double(eval.pctCorrect());
    result[current++] = new Double(eval.pctIncorrect());
    result[current++] = new Double(eval.pctUnclassified());
    result[current++] = new Double(eval.totalCost());

View Full Code Here

Examples of weka.classifiers.Evaluation.incorrect()

    // number of instances to get absolute numbers
    int current = 0;
    result[current++] = new Double(train.numInstances());
    result[current++] = new Double(eval.numInstances());
    result[current++] = new Double(eval.correct());
    result[current++] = new Double(eval.incorrect());
    result[current++] = new Double(eval.unclassified());
    result[current++] = new Double(eval.pctCorrect());
    result[current++] = new Double(eval.pctIncorrect());
    result[current++] = new Double(eval.pctUnclassified());
    result[current++] = new Double(eval.kappa());

View Full Code Here

0 1

TOP

All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.