"Top10Recall=%.2f, Top10Precision=%.2f, " +
"Bad10Recall=%.2f, Bad10Precision=%.2f, " +
"\n",
i, filter.getPartitions().get(i).size(),
localResults.getPearsonCorrelation(), localResults.getSpearmanCorrelation(),
localResults.topPercentRecall(0.1), localResults.topPercentPrecision(0.1),
localResults.badPercentRecall(0.1), localResults.badPercentPrecision(0.1)
);
spearman += localResults.getSpearmanCorrelation() / partitionCount;
pearson += localResults.getPearsonCorrelation() / partitionCount;
top20Recall += localResults.topPercentRecall(0.2) / partitionCount;