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');
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(