analysis,repeat,model,n,n_crc,prevalence,roc_auc,average_precision,balanced_accuracy,sensitivity,specificity,brier,tn,fp,fn,tp
CRC_vs_Polyp,1,metabolites,140,64,0.45714285714285713,0.8562911184210527,0.8715806693685649,0.7972861842105263,0.765625,0.8289473684210527,0.15295915829924372,63,13,15,49
CRC_vs_Polyp,1,dummy,140,64,0.45714285714285713,0.48848684210526316,0.4517857142857143,0.5,0.0,1.0,0.24827806122448978,76,0,64,0
CRC_vs_Polyp,2,metabolites,140,64,0.45714285714285713,0.8712993421052632,0.8860830577982073,0.7750822368421053,0.734375,0.8157894736842105,0.14222668733995164,62,14,17,47
CRC_vs_Polyp,2,dummy,140,64,0.45714285714285713,0.48848684210526316,0.4517857142857143,0.5,0.0,1.0,0.24827806122448978,76,0,64,0
CRC_vs_Polyp,3,metabolites,140,64,0.45714285714285713,0.8556743421052633,0.8518557623800764,0.7672697368421053,0.71875,0.8157894736842105,0.1570496435905437,62,14,18,46
CRC_vs_Polyp,3,dummy,140,64,0.45714285714285713,0.48848684210526316,0.4517857142857143,0.5,0.0,1.0,0.24827806122448978,76,0,64,0
