整理 Q1-Q3 实验代码与结果
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epoch,train_loss,valid_clean_loss
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1.0,1.05146148469713,0.9808105859127674
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2.0,0.8792424190927435,0.8854341854105939
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3.0,0.7658277087741427,0.8630200951963991
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4.0,0.7162007325225406,0.8734401222113725
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5.0,0.666606965440291,0.8838760400866414
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6.0,0.6495787705536242,0.9118019499621548
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7.0,0.5989178496378439,0.9559067448416909
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8.0,0.5539200300419772,0.9710462656649914
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9.0,0.5062780554095904,1.0261535592131563
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epoch,train_loss,valid_clean_loss
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1.0,1.0488198929362826,0.9925541471649002
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2.0,0.877586845446516,0.9104853272438049
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3.0,0.7854031710712998,0.8691042694416675
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4.0,0.7275559962899597,0.8561014971890293
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5.0,0.6785599307881461,0.8777891502275572
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6.0,0.6318395165381608,0.9196370329175677
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7.0,0.5972505140083807,0.9164495874237228
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8.0,0.5567877353341492,0.9559657193802216
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9.0,0.5066572507774388,1.0156079124618362
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10.0,0.47001609758094504,1.059160087134812
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epoch,train_loss,valid_clean_loss
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1.0,1.0536950241636347,0.9706045127176977
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2.0,0.8524193581607606,0.8777912927197886
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3.0,0.760877827251399,0.8636277507949661
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4.0,0.7150518761740791,0.8624753559028709
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5.0,0.6774439651657034,0.877832626248454
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6.0,0.6516634187212696,0.8901654671836685
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7.0,0.5939983526865641,0.918816069325248
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8.0,0.5618191918841114,0.9479289251369435
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9.0,0.513365975132695,1.013728333043528
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10.0,0.4933904481154901,1.030043561379988
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epoch,train_loss,valid_clean_loss
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1.0,1.0536950241636347,0.9706045127176977
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2.0,0.8524193581607606,0.8777912927197886
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3.0,0.760877827251399,0.8636277507949661
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4.0,0.7150518761740791,0.8624753559028709
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5.0,0.6774439651657034,0.877832626248454
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6.0,0.6516634187212696,0.8901654671836685
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7.0,0.5939983526865641,0.918816069325248
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8.0,0.5618191918841114,0.9479289251369435
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9.0,0.513365975132695,1.013728333043528
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10.0,0.4933904481154901,1.030043561379988
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epoch,train_loss,valid_clean_loss
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1.0,1.0184006403993677,0.9758902355864808
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2.0,0.8721449165432541,0.9131481346193251
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3.0,0.7584562389938919,0.9061737309445391
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4.0,0.70247816046079,0.908711409830785
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5.0,0.6474666976266437,0.9444795060943771
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6.0,0.6255715103061111,0.9916293214965652
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7.0,0.5631065650118722,1.0601372142414471
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8.0,0.5009032366452394,1.1017653536010574
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9.0,0.4493949540235378,1.177744794677902
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epoch,train_loss,valid_clean_loss
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1.0,1.0344635292335793,0.9769261263229034
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2.0,0.8467512428760529,0.8954217656628116
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3.0,0.7528229709024783,0.8857204809293642
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4.0,0.7020640406343672,0.8774335417118702
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5.0,0.6610019422239728,0.9038714190105815
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6.0,0.6052676102629414,0.9758975283130185
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7.0,0.5659312236088293,0.9750687735421317
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8.0,0.5310967906757638,1.049424912903335
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9.0,0.46808629096658144,1.1149894405197311
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10.0,0.4314451297676122,1.177863896548093
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epoch,train_loss,valid_clean_loss
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1.0,1.011995311136599,0.9519830608105921
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2.0,0.8360813723670112,0.8962717344472696
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3.0,0.7534678158936677,0.8991011263249995
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4.0,0.7069296527791906,0.9073571071519957
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5.0,0.6639300579274142,0.9432451947704776
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6.0,0.6353109103661997,0.9912105065125686
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7.0,0.5673890513954339,1.0443138106838687
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8.0,0.5254902547156369,1.1027433977022276
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epoch,train_loss,valid_clean_loss
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1.0,1.0119953784677718,0.9519833208440425
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2.0,0.8360813088991024,0.8962707964928596
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3.0,0.7534678666679947,0.8991013843934614
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4.0,0.7069298084135409,0.9073559026141743
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5.0,0.6639298437922089,0.9432453493495564
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6.0,0.6353108998801973,0.9912109388099922
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7.0,0.56738873405589,1.0443127351802783
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8.0,0.5254902160829968,1.1027441640476605
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epoch,train_loss,valid_clean_loss
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1.0,1.0707936783631642,1.0067818826371497
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2.0,0.9140718049473233,0.9000171115110208
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3.0,0.7863181178216581,0.8512143093151051
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4.0,0.7349886541013364,0.851207211122408
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5.0,0.6789810916891804,0.8575038864062383
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6.0,0.6610487986493994,0.8806245772393195
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7.0,0.6122590667671628,0.9165601101550427
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8.0,0.5692078007592095,0.9351011645662916
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9.0,0.5215919649711361,0.99570418714167
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+11
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epoch,train_loss,valid_clean_loss
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1.0,1.0577489623317011,0.9879156252840063
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2.0,0.8716377052995894,0.8907375866240197
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3.0,0.7750455615697084,0.8654810419449439
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4.0,0.7179531797214791,0.8613645519529071
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5.0,0.6809909796273267,0.8796235846949148
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6.0,0.6348593281926932,0.9029495820894347
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7.0,0.6029366790144531,0.9171899249265482
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8.0,0.5716203340777645,0.9463915248493572
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9.0,0.5201758698180869,0.9928344789442125
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10.0,0.5027363620422505,1.0327370245378096
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epoch,train_loss,valid_clean_loss
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1.0,1.0575931425447818,0.9988141858970726
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2.0,0.8773076059641661,0.8911895647153749
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3.0,0.7700778461164899,0.8651458110128131
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4.0,0.7248913248380026,0.8694970201659988
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5.0,0.682613401501267,0.884684423823933
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6.0,0.659738369010113,0.9030193935383807
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7.0,0.6011747334290434,0.9310533351950593
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8.0,0.5665941779260282,0.9628150620303311
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9.0,0.5270494206084145,1.0122937671430818
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epoch,train_loss,valid_clean_loss
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1.0,1.0575931425447818,0.9988141858970726
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2.0,0.8773076059641661,0.8911895647153749
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3.0,0.7700778461164899,0.8651458110128131
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4.0,0.7248913248380026,0.8694970201659988
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5.0,0.682613401501267,0.884684423823933
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6.0,0.659738369010113,0.9030193935383807
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7.0,0.6011747334290434,0.9310533351950593
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8.0,0.5665941779260282,0.9628150620303311
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9.0,0.5270494206084145,1.0122937671430818
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epoch,train_loss,valid_clean_loss
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1.0,1.0648082616152588,1.0257792996836232
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2.0,0.9508535012050912,0.9455079901349414
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3.0,0.83619585191762,0.9239543119629661
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4.0,0.7835445602734884,0.9075145099189256
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5.0,0.7335039586932571,0.9146714800006741
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6.0,0.7189743309109299,0.9153845460860284
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7.0,0.669045564201143,0.9579015452783186
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8.0,0.6221646765867869,0.9763828352257445
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9.0,0.5898675388760037,1.0184288430999924
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10.0,0.5511867072847154,1.0475065275862976
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epoch,train_loss,valid_clean_loss
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1.0,1.0638797470816859,1.028256350821191
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2.0,0.9404247038894229,0.9602446667440645
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3.0,0.8558459458527742,0.9207163734750433
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4.0,0.7991754125665735,0.9120825791096949
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5.0,0.7538611182460079,0.9113014386250422
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6.0,0.7000082863701714,0.9467641167588287
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7.0,0.6632694422646805,0.9526280204018394
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8.0,0.6257995438796503,0.9969304380836067
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9.0,0.5829168972041872,1.0277221163550576
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10.0,0.556718733575609,1.0591561126184987
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11.0,0.5129955758651098,1.1357925462198781
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+11
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epoch,train_loss,valid_clean_loss
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1.0,1.0713691667274192,1.017243931581686
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2.0,0.9250873768771136,0.9292757629038213
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3.0,0.827078006333775,0.9095677916820233
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4.0,0.7792822652392917,0.9027277290166079
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5.0,0.7457061266457593,0.9076534837156862
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6.0,0.709590431716707,0.9116529927148924
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7.0,0.670481797169756,0.9217575978446793
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8.0,0.6348734536656627,0.9528291304032881
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9.0,0.5908853731773518,0.982715639439258
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10.0,0.5694722047558537,0.9955548689915583
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+11
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epoch,train_loss,valid_clean_loss
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1.0,1.0713691667274192,1.017243931581686
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2.0,0.9250873768771136,0.9292757629038213
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3.0,0.827078006333775,0.9095677916820233
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4.0,0.7792822652392917,0.9027277290166079
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5.0,0.7457061266457593,0.9076534837156862
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6.0,0.709590431716707,0.9116529927148924
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7.0,0.670481797169756,0.9217575978446793
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8.0,0.6348734536656627,0.9528291304032881
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9.0,0.5908853731773518,0.982715639439258
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10.0,0.5694722047558537,0.9955548689915583
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