Archive SE Attention 3D U-Net validation evaluation artifacts

evaluation/se_attention_per_class_metrics.csv

@@ -1,5 +1,5 @@
 Model,Best_Model_Epoch,Class_ID,Class_Name,Dice,IoU,Precision,Recall,Sensitivity,FNR,FPR,TP,TN,FP,FN
-SE3DUNet,48,0,Background,0.9795114002240208,0.9598455097284244,0.9731172889068949,0.9859900955471649,0.9859900955471649,0.014009904452834464,0.10025878886809707,15040639,3728802,415503,213712
-SE3DUNet,48,1,NCR/NET,0.6183617309542241,0.44755689300738144,0.7635862117483484,0.5195498859157799,0.5195498859157799,0.4804501140842101,0.008768426944108374,520988,18234585,161303,481780
-SE3DUNet,48,2,Edema,0.8006185372620702,0.6675261892362673,0.7738738075351906,0.829278011279885,0.829278011279885,0.17072198872011077,0.032495307322097544,1902212,16549012,555827,391605
-SE3DUNet,48,3,Enhancing Tumor,0.8345030983620815,0.7160062778282135,0.8581883956797834,0.8120900769121784,0.8120900769121784,0.1879099230878098,0.006132251224412608,688425,18437177,113759,159295
+SE3DUNet,48,0,Background,0.9791453624526838,0.9591427872680854,0.9722128321232629,0.986177470027551,0.986177470027551,0.013822529972448414,0.1023969319729286,15001209,3758431,428755,210261
+SE3DUNet,48,1,NCR/NET,0.6381620593792459,0.46860352494538254,0.7705300601872056,0.5446052785634561,0.5446052785634561,0.45539472143653364,0.008570863189988457,530268,18267064,157918,443406
+SE3DUNet,48,2,Edema,0.8067211075923311,0.6760541167074671,0.7795351502167275,0.8358717810478067,0.8358717810478067,0.16412821895218896,0.030957296113731023,1877526,16621473,530994,368663
+SE3DUNet,48,3,Enhancing Tumor,0.8383246099486229,0.7216513469494662,0.8841529565841552,0.7970129935915842,0.7970129935915842,0.20298700640840542,0.005480721334696733,770969,18330316,101017,196354