Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/dataset_mlp3_model_depth_MLP_15.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 10.496557235717773
Intra Cos: 0.004865854978561401
Inter Cos: -0.0010423028143122792
Norm Quadratic Average: 4.000314712524414
Nearest Class Center Accuracy: 0.372

Layer 1: ReLU()
Intra Cos: 0.005094483960419893
Inter Cos: -0.0014135697856545448
Norm Quadratic Average: 10.490659713745117
Nearest Class Center Accuracy: 0.3665

Layer 2: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 4.905916690826416
Intra Cos: 0.007990696467459202
Inter Cos: 0.0029776855371892452
Norm Quadratic Average: 5.163957118988037
Nearest Class Center Accuracy: 0.4065

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 15.06889533996582
Intra Cos: 0.007637144066393375
Inter Cos: 0.003163296263664961
Norm Quadratic Average: 4.893950939178467
Nearest Class Center Accuracy: 0.41

Layer 4: ReLU()
Intra Cos: 0.010048883035779
Inter Cos: 0.005873663350939751
Norm Quadratic Average: 9.403916358947754
Nearest Class Center Accuracy: 0.39825

Layer 5: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 4.871890544891357
Intra Cos: 0.010884544812142849
Inter Cos: 0.0066946158185601234
Norm Quadratic Average: 4.061184406280518
Nearest Class Center Accuracy: 0.49175

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 14.182604789733887
Intra Cos: 0.009779667481780052
Inter Cos: 0.006040747277438641
Norm Quadratic Average: 4.859995365142822
Nearest Class Center Accuracy: 0.4945

Layer 7: ReLU()
Intra Cos: 0.017489345744252205
Inter Cos: 0.01187970582395792
Norm Quadratic Average: 7.57023811340332
Nearest Class Center Accuracy: 0.49725

Layer 8: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 4.279853820800781
Intra Cos: 0.02592979557812214
Inter Cos: 0.0057829818688333035
Norm Quadratic Average: 3.2081544399261475
Nearest Class Center Accuracy: 0.67975

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 11.121527671813965
Intra Cos: 0.02342786081135273
Inter Cos: 0.0033050235360860825
Norm Quadratic Average: 4.270054817199707
Nearest Class Center Accuracy: 0.69575

Layer 10: ReLU()
Intra Cos: 0.06249650940299034
Inter Cos: -0.003903548698872328
Norm Quadratic Average: 5.313989162445068
Nearest Class Center Accuracy: 0.731

Layer 11: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 3.498544692993164
Intra Cos: 0.06879530847072601
Inter Cos: -0.018421165645122528
Norm Quadratic Average: 2.3935024738311768
Nearest Class Center Accuracy: 0.883

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.504700183868408
Intra Cos: 0.06717967242002487
Inter Cos: -0.014817444607615471
Norm Quadratic Average: 3.489978551864624
Nearest Class Center Accuracy: 0.8955

Layer 13: ReLU()
Intra Cos: 0.1932976096868515
Inter Cos: -0.07055743783712387
Norm Quadratic Average: 3.5199856758117676
Nearest Class Center Accuracy: 0.94575

Layer 14: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.8793468475341797
Intra Cos: 0.19507670402526855
Inter Cos: -0.06822537630796432
Norm Quadratic Average: 1.8619006872177124
Nearest Class Center Accuracy: 0.984

Layer 15: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.921392917633057
Intra Cos: 0.17403660714626312
Inter Cos: -0.05775073915719986
Norm Quadratic Average: 2.887514114379883
Nearest Class Center Accuracy: 0.9925

Layer 16: ReLU()
Intra Cos: 0.4651390612125397
Inter Cos: -0.14348448812961578
Norm Quadratic Average: 2.726522207260132
Nearest Class Center Accuracy: 0.9965

Layer 17: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.5857465267181396
Intra Cos: 0.44135841727256775
Inter Cos: -0.1542033702135086
Norm Quadratic Average: 1.7042920589447021
Nearest Class Center Accuracy: 0.9995

Layer 18: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.558711051940918
Intra Cos: 0.38429009914398193
Inter Cos: -0.1376136839389801
Norm Quadratic Average: 2.6116349697113037
Nearest Class Center Accuracy: 0.99975

Layer 19: ReLU()
Intra Cos: 0.7564362287521362
Inter Cos: -0.18530915677547455
Norm Quadratic Average: 2.540071725845337
Nearest Class Center Accuracy: 1.0

Layer 20: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.4886460304260254
Intra Cos: 0.7098708152770996
Inter Cos: -0.24232350289821625
Norm Quadratic Average: 1.7372585535049438
Nearest Class Center Accuracy: 1.0

Layer 21: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.8748581409454346
Intra Cos: 0.6702213883399963
Inter Cos: -0.20499645173549652
Norm Quadratic Average: 2.5117175579071045
Nearest Class Center Accuracy: 1.0

Layer 22: ReLU()
Intra Cos: 0.9491581916809082
Inter Cos: -0.17262335121631622
Norm Quadratic Average: 2.4315755367279053
Nearest Class Center Accuracy: 1.0

Layer 23: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.4486355781555176
Intra Cos: 0.9326816201210022
Inter Cos: -0.23436829447746277
Norm Quadratic Average: 1.6952959299087524
Nearest Class Center Accuracy: 1.0

Layer 24: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.5728228092193604
Intra Cos: 0.9169536828994751
Inter Cos: -0.2290918529033661
Norm Quadratic Average: 2.463594913482666
Nearest Class Center Accuracy: 1.0

Layer 25: ReLU()
Intra Cos: 0.9866878390312195
Inter Cos: -0.19220741093158722
Norm Quadratic Average: 2.2983343601226807
Nearest Class Center Accuracy: 1.0

Layer 26: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.4493789672851562
Intra Cos: 0.981067955493927
Inter Cos: -0.28905966877937317
Norm Quadratic Average: 1.6124012470245361
Nearest Class Center Accuracy: 1.0

Layer 27: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.483577251434326
Intra Cos: 0.9792466759681702
Inter Cos: -0.27730679512023926
Norm Quadratic Average: 2.456115961074829
Nearest Class Center Accuracy: 1.0

Layer 28: ReLU()
Intra Cos: 0.993681013584137
Inter Cos: -0.23903222382068634
Norm Quadratic Average: 2.203425407409668
Nearest Class Center Accuracy: 1.0

Layer 29: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.454498291015625
Intra Cos: 0.9900131225585938
Inter Cos: -0.2619013488292694
Norm Quadratic Average: 1.5408905744552612
Nearest Class Center Accuracy: 1.0

Layer 30: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.471250295639038
Intra Cos: 0.9897703528404236
Inter Cos: -0.2911129295825958
Norm Quadratic Average: 2.453862190246582
Nearest Class Center Accuracy: 1.0

Layer 31: ReLU()
Intra Cos: 0.996214747428894
Inter Cos: -0.1786077916622162
Norm Quadratic Average: 2.122178554534912
Nearest Class Center Accuracy: 1.0

Layer 32: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.463942527770996
Intra Cos: 0.9940426349639893
Inter Cos: -0.26486945152282715
Norm Quadratic Average: 1.5122272968292236
Nearest Class Center Accuracy: 1.0

Layer 33: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.4931836128234863
Intra Cos: 0.9934970140457153
Inter Cos: -0.2677711248397827
Norm Quadratic Average: 2.45694899559021
Nearest Class Center Accuracy: 1.0

Layer 34: ReLU()
Intra Cos: 0.9968700408935547
Inter Cos: -0.1889793574810028
Norm Quadratic Average: 2.0799083709716797
Nearest Class Center Accuracy: 1.0

Layer 35: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.4773666858673096
Intra Cos: 0.9941040277481079
Inter Cos: -0.2618407607078552
Norm Quadratic Average: 1.4610037803649902
Nearest Class Center Accuracy: 1.0

Layer 36: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.5823757648468018
Intra Cos: 0.9929494261741638
Inter Cos: -0.24766971170902252
Norm Quadratic Average: 2.4628164768218994
Nearest Class Center Accuracy: 1.0

Layer 37: ReLU()
Intra Cos: 0.996159017086029
Inter Cos: -0.2375926822423935
Norm Quadratic Average: 2.1514320373535156
Nearest Class Center Accuracy: 1.0

Layer 38: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.4884355068206787
Intra Cos: 0.9933964014053345
Inter Cos: -0.28078436851501465
Norm Quadratic Average: 1.501742959022522
Nearest Class Center Accuracy: 1.0

Layer 39: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.794572353363037
Intra Cos: 0.9918056726455688
Inter Cos: -0.2710825204849243
Norm Quadratic Average: 2.4641506671905518
Nearest Class Center Accuracy: 1.0

Layer 40: ReLU()
Intra Cos: 0.9950596690177917
Inter Cos: -0.2798272669315338
Norm Quadratic Average: 2.4368879795074463
Nearest Class Center Accuracy: 1.0

Layer 41: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 3.5601258277893066
Intra Cos: 0.986569881439209
Inter Cos: -0.27961722016334534
Norm Quadratic Average: 1.5112571716308594
Nearest Class Center Accuracy: 1.0

Layer 42: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.4280238151550293
Intra Cos: 0.9811997413635254
Inter Cos: -0.2872435450553894
Norm Quadratic Average: 3.4947309494018555
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.991733729839325
Inter Cos: -0.2878589332103729
Norm Quadratic Average: 6.639705657958984
Nearest Class Center Accuracy: 1.0

Test Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 10.496557235717773
Intra Cos: 0.0012242719531059265
Inter Cos: 0.0006972036208026111
Norm Quadratic Average: 3.9999916553497314
Nearest Class Center Accuracy: 0.367

Layer 1: ReLU()
Intra Cos: 0.0014938805252313614
Inter Cos: 0.0011799602070823312
Norm Quadratic Average: 10.493675231933594
Nearest Class Center Accuracy: 0.366

Layer 2: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 4.905916690826416
Intra Cos: 0.001834014430642128
Inter Cos: 0.0021951203234493732
Norm Quadratic Average: 5.172598361968994
Nearest Class Center Accuracy: 0.418

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 15.06889533996582
Intra Cos: 0.0017445744015276432
Inter Cos: 0.002240212168544531
Norm Quadratic Average: 4.916284084320068
Nearest Class Center Accuracy: 0.428

Layer 4: ReLU()
Intra Cos: 0.0023665609769523144
Inter Cos: 0.004700298886746168
Norm Quadratic Average: 9.423017501831055
Nearest Class Center Accuracy: 0.395

Layer 5: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 4.871890544891357
Intra Cos: 0.0015970193780958652
Inter Cos: 0.007024386897683144
Norm Quadratic Average: 4.0687336921691895
Nearest Class Center Accuracy: 0.446

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 14.182604789733887
Intra Cos: 0.0012787752784788609
Inter Cos: 0.006877535954117775
Norm Quadratic Average: 4.883200168609619
Nearest Class Center Accuracy: 0.46

Layer 7: ReLU()
Intra Cos: 0.0029319212771952152
Inter Cos: 0.01447219680994749
Norm Quadratic Average: 7.540060997009277
Nearest Class Center Accuracy: 0.435

Layer 8: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 4.279853820800781
Intra Cos: 0.0023871096782386303
Inter Cos: 0.009184409864246845
Norm Quadratic Average: 3.1755831241607666
Nearest Class Center Accuracy: 0.448

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 11.121527671813965
Intra Cos: 0.0021754903718829155
Inter Cos: 0.008209390565752983
Norm Quadratic Average: 4.230492115020752
Nearest Class Center Accuracy: 0.463

Layer 10: ReLU()
Intra Cos: 0.007977588102221489
Inter Cos: 0.017085159197449684
Norm Quadratic Average: 5.200819492340088
Nearest Class Center Accuracy: 0.421

Layer 11: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 3.498544692993164
Intra Cos: 0.00462950486689806
Inter Cos: 0.011424434371292591
Norm Quadratic Average: 2.2415812015533447
Nearest Class Center Accuracy: 0.429

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.504700183868408
Intra Cos: 0.0038039125502109528
Inter Cos: 0.010681034997105598
Norm Quadratic Average: 3.2609291076660156
Nearest Class Center Accuracy: 0.435

Layer 13: ReLU()
Intra Cos: 0.008900489658117294
Inter Cos: 0.02405252680182457
Norm Quadratic Average: 3.1741435527801514
Nearest Class Center Accuracy: 0.41

Layer 14: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.8793468475341797
Intra Cos: 0.007354100234806538
Inter Cos: 0.01662476733326912
Norm Quadratic Average: 1.571867823600769
Nearest Class Center Accuracy: 0.406

Layer 15: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.921392917633057
Intra Cos: 0.005822685547173023
Inter Cos: 0.015432607382535934
Norm Quadratic Average: 2.431074619293213
Nearest Class Center Accuracy: 0.409

Layer 16: ReLU()
Intra Cos: 0.011912000365555286
Inter Cos: 0.02795891836285591
Norm Quadratic Average: 2.1504037380218506
Nearest Class Center Accuracy: 0.381

Layer 17: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.5857465267181396
Intra Cos: 0.009786730632185936
Inter Cos: 0.0180419459939003
Norm Quadratic Average: 1.2856754064559937
Nearest Class Center Accuracy: 0.384

Layer 18: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.558711051940918
Intra Cos: 0.006899625062942505
Inter Cos: 0.023022249341011047
Norm Quadratic Average: 1.979506254196167
Nearest Class Center Accuracy: 0.383

Layer 19: ReLU()
Intra Cos: 0.0132383918389678
Inter Cos: 0.02318001352250576
Norm Quadratic Average: 1.8249907493591309
Nearest Class Center Accuracy: 0.374

Layer 20: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.4886460304260254
Intra Cos: 0.016200989484786987
Inter Cos: 0.006997562479227781
Norm Quadratic Average: 1.249624252319336
Nearest Class Center Accuracy: 0.373

Layer 21: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.8748581409454346
Intra Cos: 0.01359547022730112
Inter Cos: 0.010942872613668442
Norm Quadratic Average: 1.8100149631500244
Nearest Class Center Accuracy: 0.372

Layer 22: ReLU()
Intra Cos: 0.01615944132208824
Inter Cos: 0.005315066315233707
Norm Quadratic Average: 1.7252024412155151
Nearest Class Center Accuracy: 0.368

Layer 23: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.4486355781555176
Intra Cos: 0.01139877550303936
Inter Cos: 0.0012876163236796856
Norm Quadratic Average: 1.2359410524368286
Nearest Class Center Accuracy: 0.367

Layer 24: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.5728228092193604
Intra Cos: 0.012750322930514812
Inter Cos: 0.0025357212871313095
Norm Quadratic Average: 1.7959315776824951
Nearest Class Center Accuracy: 0.368

Layer 25: ReLU()
Intra Cos: 0.009994500316679478
Inter Cos: -0.0009700959781184793
Norm Quadratic Average: 1.6750792264938354
Nearest Class Center Accuracy: 0.366

Layer 26: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.4493789672851562
Intra Cos: 0.008370762690901756
Inter Cos: -0.00259555340744555
Norm Quadratic Average: 1.2241915464401245
Nearest Class Center Accuracy: 0.363

Layer 27: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.483577251434326
Intra Cos: 0.009378353133797646
Inter Cos: -0.001300230622291565
Norm Quadratic Average: 1.864703893661499
Nearest Class Center Accuracy: 0.363

Layer 28: ReLU()
Intra Cos: 0.00836921390146017
Inter Cos: -0.0038246880285441875
Norm Quadratic Average: 1.6807632446289062
Nearest Class Center Accuracy: 0.359

Layer 29: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.454498291015625
Intra Cos: 0.00804545171558857
Inter Cos: -0.0008744726073928177
Norm Quadratic Average: 1.2043813467025757
Nearest Class Center Accuracy: 0.362

Layer 30: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.471250295639038
Intra Cos: 0.00731501542031765
Inter Cos: -0.0023048464208841324
Norm Quadratic Average: 1.9186160564422607
Nearest Class Center Accuracy: 0.36

Layer 31: ReLU()
Intra Cos: 0.007105928845703602
Inter Cos: -0.0011547787580639124
Norm Quadratic Average: 1.6712003946304321
Nearest Class Center Accuracy: 0.36

Layer 32: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.463942527770996
Intra Cos: 0.0073407841846346855
Inter Cos: -0.001299866707995534
Norm Quadratic Average: 1.204174280166626
Nearest Class Center Accuracy: 0.364

Layer 33: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.4931836128234863
Intra Cos: 0.007042094133794308
Inter Cos: -0.0018868001643568277
Norm Quadratic Average: 1.9603034257888794
Nearest Class Center Accuracy: 0.363

Layer 34: ReLU()
Intra Cos: 0.007345863617956638
Inter Cos: -0.0003763968124985695
Norm Quadratic Average: 1.671602725982666
Nearest Class Center Accuracy: 0.363

Layer 35: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.4773666858673096
Intra Cos: 0.006928271614015102
Inter Cos: -0.0009190248092636466
Norm Quadratic Average: 1.1832153797149658
Nearest Class Center Accuracy: 0.363

Layer 36: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.5823757648468018
Intra Cos: 0.006440276280045509
Inter Cos: -0.0019497592002153397
Norm Quadratic Average: 2.002715826034546
Nearest Class Center Accuracy: 0.363

Layer 37: ReLU()
Intra Cos: 0.00697724986821413
Inter Cos: -0.0018571470864117146
Norm Quadratic Average: 1.7576044797897339
Nearest Class Center Accuracy: 0.364

Layer 38: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.4884355068206787
Intra Cos: 0.006266406737267971
Inter Cos: -0.00024356288486160338
Norm Quadratic Average: 1.2300245761871338
Nearest Class Center Accuracy: 0.363

Layer 39: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.794572353363037
Intra Cos: 0.006750769913196564
Inter Cos: -9.52008122112602e-05
Norm Quadratic Average: 2.043858051300049
Nearest Class Center Accuracy: 0.361

Layer 40: ReLU()
Intra Cos: 0.008746197447180748
Inter Cos: -0.0004302759189158678
Norm Quadratic Average: 2.0330283641815186
Nearest Class Center Accuracy: 0.362

Layer 41: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 3.5601258277893066
Intra Cos: 0.00833849050104618
Inter Cos: -0.00017164309974759817
Norm Quadratic Average: 1.31238853931427
Nearest Class Center Accuracy: 0.363

Layer 42: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.4280238151550293
Intra Cos: 0.009113125503063202
Inter Cos: 0.001033355831168592
Norm Quadratic Average: 3.122528314590454
Nearest Class Center Accuracy: 0.365

Output Layer:
Intra Cos: 0.010966201312839985
Inter Cos: 0.0037200513761490583
Norm Quadratic Average: 5.693639278411865
Nearest Class Center Accuracy: 0.363

