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: 2.9813525676727295
Intra Cos: 0.03354979306459427
Inter Cos: -0.005712226033210754
Norm Quadratic Average: 4.000314712524414
Nearest Class Center Accuracy: 0.58025

Layer 1: ReLU()
Intra Cos: 0.037908416241407394
Inter Cos: -0.004427805542945862
Norm Quadratic Average: 2.9784252643585205
Nearest Class Center Accuracy: 0.5815

Layer 2: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 1.6312155723571777
Intra Cos: 0.039460789412260056
Inter Cos: -0.006628908682614565
Norm Quadratic Average: 1.3207063674926758
Nearest Class Center Accuracy: 0.67625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.516768455505371
Intra Cos: 0.033904194831848145
Inter Cos: -0.007460438646376133
Norm Quadratic Average: 1.6291992664337158
Nearest Class Center Accuracy: 0.68275

Layer 4: ReLU()
Intra Cos: 0.09140347689390182
Inter Cos: -0.01747456006705761
Norm Quadratic Average: 0.6604743003845215
Nearest Class Center Accuracy: 0.749

Layer 5: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 1.1076420545578003
Intra Cos: 0.12999334931373596
Inter Cos: -0.03464021533727646
Norm Quadratic Average: 0.20497283339500427
Nearest Class Center Accuracy: 0.905

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.4505805969238281
Intra Cos: 0.10970567166805267
Inter Cos: -0.028744708746671677
Norm Quadratic Average: 1.0765130519866943
Nearest Class Center Accuracy: 0.939

Layer 7: ReLU()
Intra Cos: 0.6294645071029663
Inter Cos: -0.14153054356575012
Norm Quadratic Average: 0.27516627311706543
Nearest Class Center Accuracy: 0.99975

Layer 8: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.6340493559837341
Intra Cos: 0.699802041053772
Inter Cos: -0.14797765016555786
Norm Quadratic Average: 0.1359511762857437
Nearest Class Center Accuracy: 0.999

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7289287447929382
Intra Cos: 0.6595090627670288
Inter Cos: -0.0744953379034996
Norm Quadratic Average: 0.6011452674865723
Nearest Class Center Accuracy: 0.9995

Layer 10: ReLU()
Intra Cos: 0.8858604431152344
Inter Cos: 0.018494363874197006
Norm Quadratic Average: 0.1995636224746704
Nearest Class Center Accuracy: 0.9985

Layer 11: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.2562140226364136
Intra Cos: 0.9535584449768066
Inter Cos: 0.040712594985961914
Norm Quadratic Average: 0.11898808926343918
Nearest Class Center Accuracy: 0.9995

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.4150780737400055
Intra Cos: 0.9301956295967102
Inter Cos: -0.07725289463996887
Norm Quadratic Average: 0.25073152780532837
Nearest Class Center Accuracy: 0.9995

Layer 13: ReLU()
Intra Cos: 0.9935363531112671
Inter Cos: 0.5307807922363281
Norm Quadratic Average: 0.04869789630174637
Nearest Class Center Accuracy: 1.0

Layer 14: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.13371743261814117
Intra Cos: 0.9939574003219604
Inter Cos: 0.5409250259399414
Norm Quadratic Average: 0.04844910278916359
Nearest Class Center Accuracy: 1.0

Layer 15: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.36228781938552856
Intra Cos: 0.9927711486816406
Inter Cos: 0.4412492513656616
Norm Quadratic Average: 0.12280541658401489
Nearest Class Center Accuracy: 1.0

Layer 16: ReLU()
Intra Cos: 0.9923694729804993
Inter Cos: 0.4575767517089844
Norm Quadratic Average: 0.024994047358632088
Nearest Class Center Accuracy: 1.0

Layer 17: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.1318739950656891
Intra Cos: 0.9923965930938721
Inter Cos: 0.45466968417167664
Norm Quadratic Average: 0.024935171008110046
Nearest Class Center Accuracy: 1.0

Layer 18: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.36007046699523926
Intra Cos: 0.9929909110069275
Inter Cos: 0.4152778685092926
Norm Quadratic Average: 0.1049773246049881
Nearest Class Center Accuracy: 1.0

Layer 19: ReLU()
Intra Cos: 0.99278324842453
Inter Cos: 0.4307798147201538
Norm Quadratic Average: 0.021578898653388023
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: 0.1692665070295334
Intra Cos: 0.9927836656570435
Inter Cos: 0.43089839816093445
Norm Quadratic Average: 0.02155800350010395
Nearest Class Center Accuracy: 1.0

Layer 21: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.3723442554473877
Intra Cos: 0.9935171604156494
Inter Cos: 0.39333394169807434
Norm Quadratic Average: 0.1251000463962555
Nearest Class Center Accuracy: 1.0

Layer 22: ReLU()
Intra Cos: 0.9934025406837463
Inter Cos: 0.39807045459747314
Norm Quadratic Average: 0.026477999985218048
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: 0.18392477929592133
Intra Cos: 0.9932985901832581
Inter Cos: 0.39891159534454346
Norm Quadratic Average: 0.026234285905957222
Nearest Class Center Accuracy: 1.0

Layer 24: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.3863772749900818
Intra Cos: 0.9933561682701111
Inter Cos: 0.3384973704814911
Norm Quadratic Average: 0.14134708046913147
Nearest Class Center Accuracy: 1.0

Layer 25: ReLU()
Intra Cos: 0.9933396577835083
Inter Cos: 0.3240335285663605
Norm Quadratic Average: 0.030736610293388367
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: 0.3055075407028198
Intra Cos: 0.993323802947998
Inter Cos: 0.32562321424484253
Norm Quadratic Average: 0.030583282932639122
Nearest Class Center Accuracy: 1.0

Layer 27: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.44830521941185
Intra Cos: 0.9929541945457458
Inter Cos: 0.27563318610191345
Norm Quadratic Average: 0.24392227828502655
Nearest Class Center Accuracy: 1.0

Layer 28: ReLU()
Intra Cos: 0.9941713809967041
Inter Cos: 0.4230141043663025
Norm Quadratic Average: 0.06610964238643646
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: 0.2068779021501541
Intra Cos: 0.9693878889083862
Inter Cos: 0.05747917294502258
Norm Quadratic Average: 0.04441709816455841
Nearest Class Center Accuracy: 1.0

Layer 30: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.4040517807006836
Intra Cos: 0.9738243818283081
Inter Cos: -0.09845203161239624
Norm Quadratic Average: 0.17993606626987457
Nearest Class Center Accuracy: 1.0

Layer 31: ReLU()
Intra Cos: 0.9879712462425232
Inter Cos: -0.13298478722572327
Norm Quadratic Average: 0.0374283604323864
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: 0.24646656215190887
Intra Cos: 0.9864280223846436
Inter Cos: -0.09042888134717941
Norm Quadratic Average: 0.03504669666290283
Nearest Class Center Accuracy: 1.0

Layer 33: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.42559054493904114
Intra Cos: 0.9865317344665527
Inter Cos: -0.13745416700839996
Norm Quadratic Average: 0.19367647171020508
Nearest Class Center Accuracy: 1.0

Layer 34: ReLU()
Intra Cos: 0.9877270460128784
Inter Cos: -0.15882009267807007
Norm Quadratic Average: 0.043634507805109024
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: 0.29661545157432556
Intra Cos: 0.9871782660484314
Inter Cos: -0.18195068836212158
Norm Quadratic Average: 0.0426996573805809
Nearest Class Center Accuracy: 1.0

Layer 36: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.45695003867149353
Intra Cos: 0.9865026473999023
Inter Cos: -0.23124387860298157
Norm Quadratic Average: 0.25180619955062866
Nearest Class Center Accuracy: 1.0

Layer 37: ReLU()
Intra Cos: 0.9870343208312988
Inter Cos: -0.2586929500102997
Norm Quadratic Average: 0.06484154611825943
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: 0.6264317631721497
Intra Cos: 0.9860134720802307
Inter Cos: -0.1836467981338501
Norm Quadratic Average: 0.060874782502651215
Nearest Class Center Accuracy: 1.0

Layer 39: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7058124542236328
Intra Cos: 0.985761821269989
Inter Cos: -0.2433006316423416
Norm Quadratic Average: 0.5585100650787354
Nearest Class Center Accuracy: 1.0

Layer 40: ReLU()
Intra Cos: 0.9846635460853577
Inter Cos: -0.2201053351163864
Norm Quadratic Average: 0.2246485948562622
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: 2.8640334606170654
Intra Cos: 0.9954063296318054
Inter Cos: -0.2534950077533722
Norm Quadratic Average: 0.19857607781887054
Nearest Class Center Accuracy: 1.0

Layer 42: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.8670880794525146
Intra Cos: 0.9955976009368896
Inter Cos: -0.2732062041759491
Norm Quadratic Average: 2.749462127685547
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9985482692718506
Inter Cos: -0.24450375139713287
Norm Quadratic Average: 4.546725749969482
Nearest Class Center Accuracy: 1.0

Test Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.9813525676727295
Intra Cos: 0.03459429368376732
Inter Cos: -0.0026184581220149994
Norm Quadratic Average: 3.9999916553497314
Nearest Class Center Accuracy: 0.577

Layer 1: ReLU()
Intra Cos: 0.03967246785759926
Inter Cos: 0.0011110289487987757
Norm Quadratic Average: 2.976961374282837
Nearest Class Center Accuracy: 0.574

Layer 2: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 1.6312155723571777
Intra Cos: 0.040718384087085724
Inter Cos: -0.004273843020200729
Norm Quadratic Average: 1.3237568140029907
Nearest Class Center Accuracy: 0.663

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.516768455505371
Intra Cos: 0.03554708510637283
Inter Cos: -0.0038069640286266804
Norm Quadratic Average: 1.6364243030548096
Nearest Class Center Accuracy: 0.665

Layer 4: ReLU()
Intra Cos: 0.0828099176287651
Inter Cos: -0.005620647221803665
Norm Quadratic Average: 0.6633961796760559
Nearest Class Center Accuracy: 0.687

Layer 5: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 1.1076420545578003
Intra Cos: 0.0786445140838623
Inter Cos: -0.011466439813375473
Norm Quadratic Average: 0.2022266834974289
Nearest Class Center Accuracy: 0.709

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.4505805969238281
Intra Cos: 0.06641494482755661
Inter Cos: -0.007814981043338776
Norm Quadratic Average: 1.0512547492980957
Nearest Class Center Accuracy: 0.719

Layer 7: ReLU()
Intra Cos: 0.29621297121047974
Inter Cos: -0.023369183763861656
Norm Quadratic Average: 0.2603473663330078
Nearest Class Center Accuracy: 0.718

Layer 8: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.6340493559837341
Intra Cos: 0.2569252848625183
Inter Cos: -0.05436618998646736
Norm Quadratic Average: 0.12000080198049545
Nearest Class Center Accuracy: 0.711

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7289287447929382
Intra Cos: 0.2460966259241104
Inter Cos: -0.03560575097799301
Norm Quadratic Average: 0.5227906703948975
Nearest Class Center Accuracy: 0.711

Layer 10: ReLU()
Intra Cos: 0.266750693321228
Inter Cos: 0.01687728986144066
Norm Quadratic Average: 0.1693188101053238
Nearest Class Center Accuracy: 0.702

Layer 11: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.2562140226364136
Intra Cos: 0.3400704264640808
Inter Cos: 0.0017643384635448456
Norm Quadratic Average: 0.09979041665792465
Nearest Class Center Accuracy: 0.712

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.4150780737400055
Intra Cos: 0.3676474690437317
Inter Cos: 0.08443006128072739
Norm Quadratic Average: 0.21347501873970032
Nearest Class Center Accuracy: 0.703

Layer 13: ReLU()
Intra Cos: 0.3414732813835144
Inter Cos: 0.33943504095077515
Norm Quadratic Average: 0.041984908282756805
Nearest Class Center Accuracy: 0.719

Layer 14: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.13371743261814117
Intra Cos: 0.34160667657852173
Inter Cos: 0.34426528215408325
Norm Quadratic Average: 0.0417754203081131
Nearest Class Center Accuracy: 0.719

Layer 15: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.36228781938552856
Intra Cos: 0.3416248857975006
Inter Cos: 0.28621822595596313
Norm Quadratic Average: 0.10609326511621475
Nearest Class Center Accuracy: 0.718

Layer 16: ReLU()
Intra Cos: 0.3382575511932373
Inter Cos: 0.2924145758152008
Norm Quadratic Average: 0.02161320112645626
Nearest Class Center Accuracy: 0.718

Layer 17: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.1318739950656891
Intra Cos: 0.3382980525493622
Inter Cos: 0.29095733165740967
Norm Quadratic Average: 0.021561020985245705
Nearest Class Center Accuracy: 0.718

Layer 18: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.36007046699523926
Intra Cos: 0.3379519581794739
Inter Cos: 0.2712157368659973
Norm Quadratic Average: 0.09070074558258057
Nearest Class Center Accuracy: 0.717

Layer 19: ReLU()
Intra Cos: 0.3359290063381195
Inter Cos: 0.27771154046058655
Norm Quadratic Average: 0.018659720197319984
Nearest Class Center Accuracy: 0.718

Layer 20: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.1692665070295334
Intra Cos: 0.33590778708457947
Inter Cos: 0.27770328521728516
Norm Quadratic Average: 0.01863936521112919
Nearest Class Center Accuracy: 0.718

Layer 21: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.3723442554473877
Intra Cos: 0.33595606684684753
Inter Cos: 0.2597090005874634
Norm Quadratic Average: 0.10805550217628479
Nearest Class Center Accuracy: 0.717

Layer 22: ReLU()
Intra Cos: 0.3364846408367157
Inter Cos: 0.2616841793060303
Norm Quadratic Average: 0.022879216820001602
Nearest Class Center Accuracy: 0.718

Layer 23: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.18392477929592133
Intra Cos: 0.33600887656211853
Inter Cos: 0.2618944048881531
Norm Quadratic Average: 0.02266940474510193
Nearest Class Center Accuracy: 0.718

Layer 24: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.3863772749900818
Intra Cos: 0.3366767168045044
Inter Cos: 0.23068639636039734
Norm Quadratic Average: 0.12206819653511047
Nearest Class Center Accuracy: 0.715

Layer 25: ReLU()
Intra Cos: 0.3377518355846405
Inter Cos: 0.22327572107315063
Norm Quadratic Average: 0.026543786749243736
Nearest Class Center Accuracy: 0.716

Layer 26: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.3055075407028198
Intra Cos: 0.3373289406299591
Inter Cos: 0.22399352490901947
Norm Quadratic Average: 0.026411904022097588
Nearest Class Center Accuracy: 0.716

Layer 27: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.44830521941185
Intra Cos: 0.33727261424064636
Inter Cos: 0.19674092531204224
Norm Quadratic Average: 0.21076174080371857
Nearest Class Center Accuracy: 0.715

Layer 28: ReLU()
Intra Cos: 0.32973551750183105
Inter Cos: 0.2782666087150574
Norm Quadratic Average: 0.057027269154787064
Nearest Class Center Accuracy: 0.715

Layer 29: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.2068779021501541
Intra Cos: 0.37968188524246216
Inter Cos: 0.09702679514884949
Norm Quadratic Average: 0.03941415995359421
Nearest Class Center Accuracy: 0.724

Layer 30: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.4040517807006836
Intra Cos: 0.3791957497596741
Inter Cos: 0.03700198605656624
Norm Quadratic Average: 0.16160060465335846
Nearest Class Center Accuracy: 0.724

Layer 31: ReLU()
Intra Cos: 0.36812734603881836
Inter Cos: 0.010589365847408772
Norm Quadratic Average: 0.03347310423851013
Nearest Class Center Accuracy: 0.723

Layer 32: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.24646656215190887
Intra Cos: 0.36716774106025696
Inter Cos: 0.02951239049434662
Norm Quadratic Average: 0.0314059741795063
Nearest Class Center Accuracy: 0.723

Layer 33: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.42559054493904114
Intra Cos: 0.3670175075531006
Inter Cos: 0.007183809764683247
Norm Quadratic Average: 0.1734495311975479
Nearest Class Center Accuracy: 0.724

Layer 34: ReLU()
Intra Cos: 0.3621932864189148
Inter Cos: -0.007982347160577774
Norm Quadratic Average: 0.038992200046777725
Nearest Class Center Accuracy: 0.725

Layer 35: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.29661545157432556
Intra Cos: 0.3634800910949707
Inter Cos: -0.01792033016681671
Norm Quadratic Average: 0.03818715736269951
Nearest Class Center Accuracy: 0.724

Layer 36: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.45695003867149353
Intra Cos: 0.3673204481601715
Inter Cos: -0.038037486374378204
Norm Quadratic Average: 0.2255105823278427
Nearest Class Center Accuracy: 0.724

Layer 37: ReLU()
Intra Cos: 0.36725807189941406
Inter Cos: -0.06066897138953209
Norm Quadratic Average: 0.05789326876401901
Nearest Class Center Accuracy: 0.724

Layer 38: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.6264317631721497
Intra Cos: 0.3724754750728607
Inter Cos: -0.06789689511060715
Norm Quadratic Average: 0.054840363562107086
Nearest Class Center Accuracy: 0.723

Layer 39: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7058124542236328
Intra Cos: 0.3782171905040741
Inter Cos: -0.10162417590618134
Norm Quadratic Average: 0.5042282938957214
Nearest Class Center Accuracy: 0.723

Layer 40: ReLU()
Intra Cos: 0.38303232192993164
Inter Cos: -0.11233001202344894
Norm Quadratic Average: 0.2024082988500595
Nearest Class Center Accuracy: 0.722

Layer 41: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.8640334606170654
Intra Cos: 0.4013577997684479
Inter Cos: -0.11249043047428131
Norm Quadratic Average: 0.17884419858455658
Nearest Class Center Accuracy: 0.721

Layer 42: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.8670880794525146
Intra Cos: 0.4032430946826935
Inter Cos: -0.12044593691825867
Norm Quadratic Average: 2.478255033493042
Nearest Class Center Accuracy: 0.721

Output Layer:
Intra Cos: 0.40706631541252136
Inter Cos: -0.11115732789039612
Norm Quadratic Average: 4.08510684967041
Nearest Class Center Accuracy: 0.721

