correlation_multimodel/spearman_method.csv

label,n,rho,p_raw,method,q_bh,significant
CEAT | score_A vs score_AB,120,0.8758603971827383,3.811476912554627e-39,CEAT,8.167450526902772e-39,True
CEAT | score_B vs score_AB,120,0.8234306089853664,8.095146771624635e-31,CEAT,1.517840019679619e-30,True
CEAT | max_single vs score_AB,120,-0.19350548103025433,0.03420749377258861,CEAT,0.04664658241716629,True
CEAT | max_single vs |score_AB|,120,0.8909059445110817,2.93833453816766e-42,CEAT,7.34583634541915e-42,True
CEAT | max_single vs IAS,120,-0.31856495778633287,0.00039108607998404105,CEAT,0.0005866291199760616,True
MLM | score_A vs score_AB,120,0.9793922609153193,7.891130032974822e-84,MLM,5.918347524731116e-83,True
MLM | score_B vs score_AB,120,0.9851093996580146,4.39123687068759e-92,MLM,6.586855306031386e-91,True
MLM | max_single vs score_AB,120,0.1305891828853981,0.15512636498364615,MLM,0.1789919595965148,False
MLM | max_single vs |score_AB|,120,0.959468084132569,9.526228735735576e-67,MLM,3.572335775900841e-66,True
MLM | max_single vs IAS,120,-0.10104763905350009,0.2721394980185088,MLM,0.2915780335912594,False
SEAT | score_A vs score_AB,144,0.9446467496848038,1.3190222496121071e-70,SEAT,6.595111248060535e-70,True
SEAT | score_B vs score_AB,144,0.936131609547565,2.517386929289372e-66,SEAT,7.552160787868117e-66,True
SEAT | max_single vs score_AB,144,-0.1683013326209335,0.043755939372451896,SEAT,0.05469492421556487,False
SEAT | max_single vs |score_AB|,144,0.7708047884830551,1.3513328921099422e-29,SEAT,2.2522214868499038e-29,True
SEAT | max_single vs IAS,144,-0.08733725515043965,0.29792038531674,SEAT,0.29792038531674,False