Ranking method

ALLR

PCC

PCST

FIET

KLD

ED

SW


Sum

0.9823^{a}

0.9845^{a}

0.9786

0.9834

0.9793

0.9886

0.9809

AM

0.9595

0.9685

0.9619

0.9662

0.9736

0.9779

0.9735

GM

0.9643

0.9670

0.9630

0.9717

0.9724

0.9776

0.9720

p value

0.9786

0.9835

0.9797^{a}

0.9842^{a}

0.9864^{a}

0.9889^{a}

0.9861^{a}

 The table reports the performance of the seven different column comparison functions using four different methods for combining scores: summing the raw scores, computing the arithmetic mean (AM), or computing the geometric mean (GM). Each entry is the mean receiver operating characteristic (ROC) score across all queries in the simulation. The table reports results for the S/8 sampling rate. ^{a}Highest ROC in the column. ALLR, average loglikelihood ratio; ED, euclidean distance; FIET, FisherIrwin exact test; KLD, KullbackLeibler divergence; PCC, Pearson correlation coefficient; PCST, Pearson χ^{2} test; SW, SandelinWasserman function.