@Override
public String toString() {
StringBuilder returnString = new StringBuilder();
returnString.append('\n');
returnString.append("=======================================================\n");
returnString.append("Summary\n");
returnString.append("-------------------------------------------------------\n");
int totalClassified = correctlyClassified + incorrectlyClassified;
double percentageCorrect = (double) 100 * correctlyClassified / totalClassified;
double percentageIncorrect = (double) 100 * incorrectlyClassified / totalClassified;
NumberFormat decimalFormatter = new DecimalFormat("0.####");
returnString
.append(StringUtils.rightPad("Correctly Classified Instances", 40))
.append(": ")
.append(StringUtils.leftPad(Integer.toString(correctlyClassified), 10))
.append('\t')
.append(StringUtils.leftPad(decimalFormatter.format(percentageCorrect), 10))
.append("%\n");
returnString
.append(StringUtils.rightPad("Incorrectly Classified Instances", 40))
.append(": ")
.append(StringUtils.leftPad(Integer.toString(incorrectlyClassified), 10))
.append('\t')
.append(StringUtils.leftPad(decimalFormatter.format(percentageIncorrect), 10))
.append("%\n");
returnString
.append(StringUtils.rightPad("Total Classified Instances", 40))
.append(": ")
.append(StringUtils.leftPad(Integer.toString(totalClassified), 10))
.append('\n');
returnString.append('\n');
returnString.append(confusionMatrix);
returnString.append("=======================================================\n");
returnString.append("Statistics\n");
returnString.append("-------------------------------------------------------\n");
RunningAverageAndStdDev normStats = confusionMatrix.getNormalizedStats();
returnString
.append(StringUtils.rightPad("Kappa", 40))
.append(StringUtils.leftPad(decimalFormatter.format(confusionMatrix.getKappa()), 10))
.append('\n');
returnString
.append(StringUtils.rightPad("Accuracy", 40))
.append(StringUtils.leftPad(decimalFormatter.format(confusionMatrix.getAccuracy()), 10))
.append("%\n");
returnString
.append(StringUtils.rightPad("Reliability", 40))
.append(
StringUtils.leftPad(decimalFormatter.format(normStats.getAverage() * 100.00000001), 10))
.append("%\n");
returnString
.append(StringUtils.rightPad("Reliability (standard deviation)", 40))
.append(StringUtils.leftPad(decimalFormatter.format(normStats.getStandardDeviation()), 10))
.append('\n');
returnString
.append(StringUtils.rightPad("Weighted precision", 40))
.append(
StringUtils.leftPad(
decimalFormatter.format(confusionMatrix.getWeightedPrecision()), 10))
.append('\n');
returnString
.append(StringUtils.rightPad("Weighted recall", 40))
.append(
StringUtils.leftPad(decimalFormatter.format(confusionMatrix.getWeightedRecall()), 10))
.append('\n');
returnString
.append(StringUtils.rightPad("Weighted F1 score", 40))
.append(
StringUtils.leftPad(decimalFormatter.format(confusionMatrix.getWeightedF1score()), 10))
.append('\n');
if (hasLL) {
returnString
.append(StringUtils.rightPad("Log-likelihood", 30))
.append("mean : ")
.append(StringUtils.leftPad(decimalFormatter.format(summarizer.getMean()), 10))
.append('\n');
returnString
.append(StringUtils.rightPad("", 30))
.append(StringUtils.rightPad("25%-ile : ", 10))
.append(StringUtils.leftPad(decimalFormatter.format(summarizer.getQuartile(1)), 10))
.append('\n');
returnString
.append(StringUtils.rightPad("", 30))
.append(StringUtils.rightPad("75%-ile : ", 10))
.append(StringUtils.leftPad(decimalFormatter.format(summarizer.getQuartile(3)), 10))
.append('\n');
}
return returnString.toString();
}
