Add files using upload-large-folder tool

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/Aizawa_coarse_target_ts_11.csv

@@ -0,0 +1,20 @@
+0.2074998442743072,0.5949239174389993,1.680253998186422
+0.15684616522449019,0.626921680061732,1.6812014725223012
+0.1021420195122372,0.6549234522709845,1.6813272617278208
+0.043668043799905416,0.6784545511396001,1.6806416589537518
+-0.018241356175331548,0.6970548615801906,1.6791504475349477
+-0.0831978363759906,0.7102846960865712,1.6768530989102717
+-0.1507595249310081,0.7177308354754205,1.673741151133008
+-0.2204320345399636,0.7190127071033204,1.6697969512950068
+-0.2916701005265433,0.7137886625195351,1.6649929474507057
+-0.36387987480874506,0.7017623204004866,1.6592917010788293
+-0.43642191717973233,0.6826889403920161,1.6526467575707655
+-0.5086149394042347,0.6563817866802273,1.645004458707083
+-0.5797403719771789,0.6227184247352238,1.6363067083176512
+-0.6490478341607729,0.5816468697809127,1.626494613327917
+-0.7157615906437502,0.5331914717185955,1.6155128229723967
+-0.779088068356138,0.4774583809870542,1.6033142879586413
+-0.8382244809361381,0.414640397643508,1.5898650704823476
+-0.892368564097199,0.34502096812283206,1.5751487688403278
+-0.9407293633484721,0.268977068078715,1.5591700907878083
+-0.9825389400535025,0.18698070281602697,1.54195712933536

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/Aizawa_coarse_target_ts_14.csv

@@ -0,0 +1,20 @@
+-0.20004805308362697,0.19183297489533627,0.21275479994222465
+-0.21389825351633887,0.17085866238523736,0.2315417770307604
+-0.22576248000214127,0.14906415795460187,0.250808253843846
+-0.23561250826304023,0.12661947947344643,0.27055761403063966
+-0.24343304943870905,0.103692847728164,0.2907927203251816
+-0.24922122228328591,0.08044985726283249,0.3115158321603931
+-0.2529859880949656,0.05705272081765512,0.33272851264816994
+-0.2547475562395912,0.033659587233222224,0.35443152444726345
+-0.2545367678552992,0.01042393203056168,0.37662471458390534
+-0.2523944650202325,-0.012505980745210747,0.3993068888647708
+-0.24837085233635275,-0.034987567420991565,0.42247567709834416
+-0.24252485751937888,-0.056884326894757885,0.4461273908957333
+-0.234923497200506,-0.07806617923955933,0.4702568763297641
+-0.2256412537237368,-0.09840974432963849,0.4948573641754264
+-0.214759468266304,-0.11779856459793968,0.5199203208153365
+-0.2023657551114545,-0.13612327650327105,0.5454353031618044
+-0.18855344135867572,-0.15328173572530354,0.5713898211117997
+-0.17342103576290163,-0.16917910151036983,0.5977692111075193
+-0.15707172974786013,-0.18372788595424125,0.6245565243239353
+-0.13961293294008068,-0.19684797431682324,0.6517324328441054

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/Aizawa_coarse_target_ts_15.csv

@@ -0,0 +1,20 @@
+1.166792029049252,0.9119439054324378,0.9736358842448477
+1.086823898394588,1.020320667861176,0.9379423663646125
+0.9958656107893955,1.1206475048818123,0.9009810657412352
+0.894783106753556,1.2116957777679396,0.8629322047360358
+0.7845961976154113,1.2923406631315955,0.8240066792390844
+0.6664647018176191,1.361583539455683,0.7844309516101156
+0.5416706006780716,1.4185717575744508,0.7444318758319322
+0.4115969165916965,1.4626149919698714,0.7042231980720212
+0.2777041934435684,1.4931976456820055,0.663995132227544
+0.14150551951217183,1.509987079023391,0.6239078887830505
+0.004540985761982758,1.5128377011013296,0.5840894402947253
+-0.1316476543289677,1.5017911662338295,0.544637238775668
+-0.2655415239383021,1.4770730367743563,0.5056231367765235
+-0.3956679282691421,1.4390863119447743,0.4671004509963785
+-0.5206221282144433,1.388402197725451,0.4291119612856864
+-0.6390873695080335,1.32574843415259,0.3916976535196697
+-0.7498529873526093,1.251995434109401,0.354901172548683
+-0.8518303981958667,1.1681404476988355,0.3187742223029746
+-0.9440667616837266,1.0752899644049607,0.283378496835346
+-1.0257560711385147,0.974640604772884,0.24878510328160552

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/Aizawa_coarse_target_ts_4.csv

@@ -0,0 +1,20 @@
+1.1776265046253152,0.9235326292944244,0.850376987744347
+1.093139340126711,1.0296337632289487,0.8143392552365997
+0.9981510252878221,1.1269426987690987,0.7773501264770456
+0.8936421417340796,1.2143205950491187,0.7396006181945667
+0.780731501769734,1.2907506581539374,0.7013029661604975
+0.6606590633216268,1.355357391401891,0.6626761328631796
+0.5347655885290022,1.4074226423491836,0.6239322709605291
+0.40446986468306306,1.446397868652644,0.5852655835477847
+0.27124440147755485,1.4719123279222224,0.5468445720868781
+0.13659050631700864,1.4837771687237271,0.508808115400271
+0.0020135407398674094,1.4819856215413274,0.4712652794577449
+-0.13100099022738115,1.4667096368253278,0.4342983001584217
+-0.26101003042304016,1.4382933877853128,0.39796786141383395
+-0.386633910811203,1.3972440605059848,0.362319628039971
+-0.5065754096343533,1.3442203157463393,0.3273909815388506
+-0.6196367768653819,1.2800187516757933,0.2932170249274528
+-0.7247345914217654,1.2055586487438708,0.25983513977497097
+-0.8209123193395169,1.1218652532894156,0.22728765939245024
+-0.9073504329408963,1.0300518621664632,0.19562252868603633
+-0.9833739530006909,0.9313010034970163,0.1648921142704696

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/Aizawa_coarse_target_ts_6.csv

@@ -0,0 +1,20 @@
+-1.3311760695372075,-0.5303835121200253,0.940224874841867
+-1.285131523145244,-0.6521446362850427,0.9006135624783121
+-1.2267053532615233,-0.7691357528694445,0.8615227756861414
+-1.1564695827268658,-0.8800108514308096,0.8230287123843568
+-1.0751515122295352,-0.983501902058595,0.7851655928711961
+-0.983620997224671,-1.0784366373984655,0.7479325735321162
+-0.8828761241626483,-1.1637541710913284,0.7113030058880057
+-0.7740276539332835,-1.2385185302484196,0.6752349406944372
+-0.6582824707888021,-1.301930199795262,0.6396817467395755
+-0.5369261706399815,-1.3533357389951255,0.6046017857589905
+-0.4113048637988136,-1.3922354557100218,0.5699662489663039
+-0.2828062630961232,-1.4182890377728903,0.5357645053667162
+-0.15284017614084647,-1.4313189700143885,0.5020066185295735
+-0.02281860647663806,-1.4313115316652198,0.4687230271242964
+0.10586422901473341,-1.4184151856485347,0.4359617149366991
+0.23185156473575072,-1.3929362399288387,0.4037834728366689
+0.35384296757799355,-1.3553317722668452,0.37225603767406534
+0.47061195140441325,-1.3061999441815864,0.3414479558037017
+0.5810218745371095,-1.246267965021298,0.3114229586204076
+0.6840397481531655,-1.1763780805677984,0.2822354738023276

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/Aizawa_coarse_target_ts_9.csv

@@ -0,0 +1,20 @@
+-0.016471290543795526,-0.3311886761941679,1.3000731053298769
+0.013722852067142946,-0.3366068198400111,1.3244895104419803
+0.04479820560655949,-0.33952974062555774,1.348261745893856
+0.07657443695133503,-0.3398416034015447,1.3713558497652047
+0.1088576261178482,-0.3374365358517734,1.3937414321995163
+0.14144038174628903,-0.33222010047289807,1.4153918587355852
+0.17410210593663708,-0.32411084820122527,1.4362843351480867
+0.2066094262033961,-0.3130419389591124,1.4563998835279672
+0.2387168105994672,-0.29896281157045995,1.4757232038149775
+0.2701673798986463,-0.2818408830307941,1.494242420489358
+0.3006939282620654,-0.2616632550555887,1.511948720420551
+0.3300201611558734,-0.2384384042302206,1.5288358946674439
+0.35786215657191955,-0.21219783095708367,1.5448998039375648
+0.383930052981688,-0.18299764166119317,1.560137793977754
+0.40792996502342416,-0.150920038276509,1.5745480928675653
+0.42956612574368386,-0.11607468873262748,1.588129226470607
+0.44854325228242786,-0.07859995187448257,1.6008794906185206
+0.4645691301388157,-0.03866392972375839,1.6127965184498168
+0.4773574094083871,0.0035346808477181176,1.6238769782814795
+0.48663060442562256,0.047765966212108255,1.6341164311718719

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/AnishchenkoAstakhov_coarse_target_ts_1.csv

@@ -0,0 +1,20 @@
+-1.6525182208142684,-0.9200353061185059,0.7887916674693995
+-2.6098985804471786,0.5507551654148591,0.5610265139072298
+-3.00672687951902,2.5115580404744224,0.39902899876787606
+-2.2370859816869895,4.384677155420176,0.2838085864227507
+0.4007845190990884,5.134627048269081,0.2038129324672004
+3.7284422516632776,3.5199073207254417,2.2331429492135406
+1.580102613840362,1.6814608314886539,3.7238337332159928
+0.794349319132939,0.9405526787818356,2.9903794392009173
+0.6052403133622123,0.4752861210194796,2.2602723295909883
+0.5044808918030631,0.09761037434208633,1.695641641921622
+0.3775866525705029,-0.2059537809930156,1.262786394350517
+0.18165767447527853,-0.4012038774910392,0.9218742677191728
+-0.1047176335623276,-0.4328341484002058,0.6576960532532767
+-0.4767803338373425,-0.2385648614461594,0.467785017494961
+-0.8712986198114204,0.222790778696712,0.3327111687995864
+-1.13364570506291,0.91979261422387,0.23664016097998988
+-1.0015416696980228,1.6789354073644245,0.168309846617568
+-0.136501150204552,2.118108235801208,0.11971004562841463
+1.6997413156099697,1.6351202128608409,0.3360362014753044
+2.433560429026212,0.020603871387787426,1.909030911086456

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/AnishchenkoAstakhov_coarse_target_ts_13.csv

@@ -0,0 +1,20 @@
+0.35763583692109524,-0.0997144300314969,1.4490114442513884
+0.20568778837844076,-0.29461311358721165,1.0540741790197068
+-0.009720377718134615,-0.36548289126631733,0.7535934196780016
+-0.29555241171732666,-0.2650578812982159,0.5359918297587472
+-0.6175633083933038,0.04606314121297203,0.3812231291652606
+-0.8748492558059294,0.5626036091510751,0.2711441968732506
+-0.8820000371628086,1.1822164185931927,0.19285077392606184
+-0.38056291072620807,1.6492662159472051,0.13716473165489218
+0.8834289975908554,1.5259224029354503,0.14527427058175177
+2.351827612773324,0.3594479313355279,1.0502547329073553
+1.4736000480617573,-1.0607815405299612,1.9930376052899927
+0.1456270698115724,-1.5878036970402407,1.615835208981791
+-0.8711470780565328,-1.33039335030348,1.1494861467148116
+-1.724196279274334,-0.4354665619937183,0.81756974911386
+-2.2815379180264443,0.9539291222290378,0.5814948675772478
+-2.206462253346442,2.5315702916199,0.4135870748461289
+-1.0279189980259724,3.71050361100874,0.29416298924951634
+1.6801276460104655,3.579315458471928,0.3664609014926967
+2.9572280495377328,1.6524804753472964,2.692275246550893
+1.104058847771736,0.33166907968272913,3.0269247153461265

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/Arneodo_coarse_target_ts_10.csv

@@ -0,0 +1,20 @@
+3.3318808620901774,-0.2227633564305304,-8.758970270354416
+2.8037241990159423,-3.0756812101994564,-7.9652863595135965
+1.537714261108898,-4.532163575740527,-0.6643341181022192
+0.19410793156887812,-3.6244839532134705,5.626429492577949
+-0.631553896646832,-1.5344577054428583,6.79450345809428
+-0.8053932816781345,0.3145263953868566,4.537107763587791
+-0.5329240698159039,1.2348027742546148,1.2936453801969852
+-0.12328809461401072,1.2274886620867649,-1.0971815072124582
+0.1901380605300924,0.7110012490656039,-1.909219793619888
+0.32288035206492227,0.15123757204222385,-1.4811582055519623
+0.31145115945179286,-0.17373408554490236,-0.5487492907079649
+0.24396334192519775,-0.20944813321259909,0.2686015770180502
+0.19985188019426736,-0.04765199060220913,0.6806937865169156
+0.22065185083875277,0.180559269249392,0.7115618284434628
+0.3111031369784651,0.382435613266474,0.5503410619350473
+0.45672366388877783,0.529453291013257,0.3914622916845688
+0.6424953467429211,0.6420242213572728,0.3411472828452679
+0.8633778491236509,0.7572308763090222,0.4007862118763063
+1.1246902367381155,0.899345857334266,0.4936229430592983
+1.4346595513274611,1.0598027264189167,0.49184243361446006

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/Arneodo_coarse_target_ts_2.csv

@@ -0,0 +1,20 @@
+-1.3384728268164316,4.229920526552752,-0.9182916109431952
+-0.15174182227844168,2.996938566478903,-6.068319818201648
+0.46937012502846753,0.9125326525217616,-6.4149542913581215
+0.47197484813983587,-0.7612668981166688,-3.899924525104432
+0.08766175929512687,-1.5087543597681996,-0.913868424654492
+-0.39806152334715694,-1.462253219943081,0.9569362255883441
+-0.8003838976208477,-1.0586503863935444,1.3816847106839911
+-1.0722709650275035,-0.6877979656069412,0.8610959889233518
+-1.2603727017242483,-0.5448733907662691,0.038328900188082785
+-1.4430724528890693,-0.6441491472928533,-0.6077249415785507
+-1.6827870665417484,-0.8811973844552995,-0.8005240543313414
+-1.9976930956993155,-1.0880799895416042,-0.400963736815716
+-2.3473250467910773,-1.066785336405539,0.6372443375570931
+-2.6294136782256423,-0.6388751667124904,2.0865795626002166
+-2.7062197699362995,0.20645489752348767,3.067622787175885
+-2.4906423632135466,1.1178577582609843,2.340532936260297
+-2.0564061115095567,1.493042339788331,-0.1601363987758624
+-1.638978491358766,1.00631767027437,-2.764707313185869
+-1.485296751555053,-0.09401420606970312,-3.8808400442037487
+-1.7052196108365645,-1.261192649907657,-3.2289002258637756

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/ArnoldBeltramiChildress_coarse_target_ts_3.csv

@@ -0,0 +1,20 @@
+0.03661117378868989,0.957841248813528,0.6163708074809284
+-0.4398056534194768,0.9980244393849325,0.2426113035507566
+-0.7051755767888064,0.9504995413710973,-0.023324389849262328
+-0.8380756906552234,0.8810588812647516,-0.16089124046913775
+-0.9094953812617864,0.811511182579629,-0.20158581770279407
+-0.955061723652492,0.7435630749415053,-0.16681319340488973
+-0.9875876207162892,0.6745842276148556,-0.059396474320524605
+-0.9992444863501696,0.6045801717526934,0.13281971273896342
+-0.9443375730449,0.5406731003750489,0.4238015517475463
+-0.711641005575908,0.5000400759528572,0.7760260754903235
+-0.19937954466157937,0.5047608693826942,0.9961637652147245
+0.41000259948825535,0.5611113240045364,0.8534485670333134
+0.7981078072337758,0.6457768202210171,0.4678269034880552
+0.9510238891570431,0.7278262242285495,0.0992060497748179
+0.9930347187477555,0.7913873823681674,-0.16713814869634497
+0.9998669038723668,0.8339998355411904,-0.3501501283840497
+0.9998439467122787,0.8576622559553058,-0.4853957227531308
+0.9999849563470856,0.8630344322729037,-0.6028072326493094
+0.9960828482437888,0.845535765868492,-0.7248743148980095
+0.9700434745556161,0.7892824015261946,-0.8610251662283882

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/ArnoldBeltramiChildress_coarse_target_ts_5.csv

@@ -0,0 +1,20 @@
+0.8841184045482875,0.39984210464536457,0.9516444239996033
+0.998678063608656,-0.03525537970135601,0.9988184118306995
+0.8859611301814283,-0.3403181705092655,0.9763058524174703
+0.6694076067094329,-0.5215872514239036,0.9744633815906191
+0.4012505239199349,-0.626327030188136,0.9926786331414995
+0.10813156270038536,-0.6897589312537535,0.9985872228445978
+-0.17488718375636067,-0.7324653627928419,0.9677422107943447
+-0.4119160257558479,-0.7659273521088917,0.9005392294826213
+-0.585584610734808,-0.7965375244470217,0.8142815171514075
+-0.6990302499583185,-0.8279822653030293,0.7248446328629636
+-0.7638865624719903,-0.8626307359346802,0.6365687103810206
+-0.7890704851536802,-0.9020154842609612,0.541160144153986
+-0.7735941311950753,-0.945707504220548,0.4177745715411433
+-0.6978868972346652,-0.9863731903220109,0.2304391533440709
+-0.5087921473876524,-0.9971019353019325,-0.06900518399021362
+-0.12299240585459759,-0.9163254141252913,-0.4902297311632876
+0.4377240688852526,-0.6838230300893217,-0.8761879460828321
+0.8806487569687487,-0.3580195196752812,-0.9997257772564826
+0.9989349076615565,-0.08431833739624933,-0.9265578998420467
+0.88662374363811,0.06954334908815074,-0.8453635174920334

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/ArnoldWeb_coarse_target_ts_10.csv

@@ -0,0 +1,20 @@
+0.07648024287638827,-0.1021373734412988,0.952455353760268,0.1146400369754488,0.9676992345539666
+0.06606403866687548,-0.10762607596768171,0.704975577219384,0.7296020653791286,0.9824491143719416
+0.06029618947571789,-0.1170616565966132,0.35271903880550665,0.999989719263059,0.8079585522766595
+0.05902901829714837,-0.12328754475934887,-0.03911679463504155,0.6845867382472826,0.4778381145534932
+0.060010363970469695,-0.1251094432851144,-0.4251010136720833,-0.08385644657815987,0.05567596734591713
+0.06257585239659244,-0.12322258012201076,-0.7522998652861626,-0.7956404612329387,-0.3772105466548904
+0.06714155756821609,-0.11827179271483154,-0.9603692186155379,-0.9871264021285812,-0.7374383453094616
+0.07368828853952686,-0.11270857023446489,-0.9815475501042968,-0.5944000492289028,-0.9556199490938214
+0.07957730848200234,-0.11091679924472896,-0.7582940423556072,0.11136628352903616,-0.9897289746426688
+0.08228054525717785,-0.11308199833955879,-0.3093527509750032,0.7596372094314792,-0.8331953034901528
+0.08238255625937434,-0.11614333354685116,0.23811804458450517,0.9980756740470722,-0.5161706256015527
+0.0811085954531795,-0.1183207601961378,0.7112224014537931,0.6596058235190978,-0.09972058729219946
+0.0789796065049467,-0.11896630768840025,0.9713175065725005,-0.07828913887898793,0.3359377415341536
+0.07590934747874428,-0.11742278983269266,0.960452484383717,-0.767542132366074,0.706887368674816
+0.07144937990675429,-0.11235398949613896,0.7114829908197403,-0.9968320172785201,0.9416755640714709
+0.0657731213617554,-0.10259921334385956,0.3241447906067196,-0.693987879631042,0.9950771641910986
+0.06324690321772423,-0.0936495166223408,-0.10089670997906638,-0.11132000590666684,0.8568058933858074
+0.06959148571435977,-0.09708261225522968,-0.5216172939294536,0.5037891107221759,0.553495717739254
+0.0782697436808844,-0.10616803698171624,-0.8682393508092545,0.9380830679980874,0.14357058088014743
+0.0837899276692405,-0.11191013122438984,-0.9995468230811638,0.9270009431885552,-0.29400928106756685

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/ArnoldWeb_coarse_target_ts_11.csv

@@ -0,0 +1,20 @@
+0.08556611962207825,-0.11445605598764608,0.3117549191199048,0.9469536953594032,-0.8454113981171087
+0.08422714904979091,-0.1162935940027612,0.7761544311763755,0.4497126359398777,-0.9926915499370944
+0.08189157167976908,-0.11642658789811952,0.9924662896524499,-0.3121949036222478,-0.9487583505050461
+0.07831722101883491,-0.11391185920660636,0.9139746685366281,-0.8889060469561326,-0.7220742615948734
+0.0730466281288567,-0.1068033598246666,0.5974264230514559,-0.96288722878197,-0.35630342472039817
+0.06804464728870903,-0.09522738476451988,0.1626792578506528,-0.571732025076168,0.07809897440287587
+0.07089267630087569,-0.09016676430473788,-0.2936435520660913,0.014475885877688223,0.49745786214956256
+0.08050634331075443,-0.09635101155596784,-0.7180756575579336,0.5939921927132155,0.8209958627996302
+0.08810801070473878,-0.10341897758296555,-0.979386425213161,0.9653518944804381,0.98639272655786
+0.09220972560943257,-0.1075078025976892,-0.9194662965948789,0.9020096254511036,0.9617895254322003
+0.09408581803208724,-0.10923127153006831,-0.5134846315136774,0.38431680459230927,0.7519253554085621
+0.094559146475679,-0.10933800743247413,0.09570295450490345,-0.3346801156574673,0.3972244865048348
+0.09373584256138451,-0.107990799135083,0.6665519779443193,-0.878398815264401,-0.033990205115295144
+0.0909578684310824,-0.10481437772461312,0.9759649281273391,-0.9764783220363152,-0.45865766559373616
+0.08449731424841153,-0.09939816295951763,0.9320639269525949,-0.6193510258896715,-0.794977976022224
+0.07303882382952227,-0.09486947738971924,0.6222313321637221,-0.020934517406751924,-0.978168743868828
+0.06384502816943001,-0.10119239208994596,0.21723333707395648,0.5862739095205267,-0.9729435595326985
+0.06359180808390447,-0.11312195316563121,-0.20291756866524127,0.9744041180940531,-0.7803089038364883
+0.06653942384294732,-0.12006863134121427,-0.5971064371342824,0.8483649807272563,-0.43737027857004146
+0.06970325821569369,-0.12227665505310972,-0.8897050471287957,0.1954939403139384,-0.010184903428534788

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/AtmosphericRegime_coarse_target_ts_10.csv

@@ -0,0 +1,20 @@
+0.13094011942162231,-0.44156963930920007,0.03187398909292301
+0.3577422910216404,0.29744009857241543,0.10952706992890009
+0.5873287330108171,0.02248841608888063,0.2959477117453387
+0.29198845894146663,-0.3229415063217572,0.7112836127589911
+0.018277356029631216,-0.2908767109745205,0.7142287320417177
+0.002559302205456701,-0.19842564329747295,0.6768490609606748
+0.0009108548116628028,-0.10068023913943508,0.6369807429718052
+0.0009075001785201507,0.01372051580710833,0.5894578569813798
+0.0037143727655215425,0.21879850703099768,0.4926748075214896
+0.02993960756925801,-0.36580193875954015,0.3294268946412017
+0.09736330191921552,0.06717324068982257,0.4407667545810087
+0.34566283137766207,-0.28344399261009795,0.16860945947860395
+0.6409932387929776,0.005324960078095816,0.12278433161404229
+0.335371341002318,-0.3112581998549101,0.7007106447663053
+0.020175600523419563,-0.2981995297006134,0.7171744951814352
+0.002625810361113735,-0.2059674041654564,0.6799107134076605
+0.0008652451993183151,-0.10889315792085892,0.6403479400000918
+0.0007882059108992208,0.003283480849664488,0.5938621275251703
+0.002765483236295448,0.1889289792180032,0.5090382691493979
+0.031861336270226276,0.35271026522087245,-0.34812894133289474

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/AtmosphericRegime_coarse_target_ts_11.csv

@@ -0,0 +1,20 @@
+0.0316641436700608,-0.1046406484358241,0.4786669023305871
+0.12355859506052572,0.1891150281529227,0.39722100618687617
+0.35804221551071513,-0.07482965957970766,0.340737770680876
+0.6690453707722654,-0.007239483762691043,0.21392960433812408
+0.17653556595017658,-0.34413059982270267,0.7303142292234158
+0.012223602216804423,-0.2741525063688961,0.7075023171784248
+0.002024127517667657,-0.1810717087791524,0.6697980633164188
+0.000860941641273063,-0.08153836079482808,0.6291162366936623
+0.0010604293560865612,0.03901328484762462,0.5786943734293379
+0.006718982014670761,0.33316058945001825,0.4125331818728724
+0.03178835110810023,0.17415498584264377,0.451889895503066
+0.17507040867369497,0.4147002234448686,-0.04887446090063665
+0.38799634252453186,0.2166003837205309,0.2210432146124219
+0.6358943883226943,-0.05356072554799039,0.30584803824061796
+0.1820804364813789,-0.34360798649177987,0.7297432716157379
+0.012529259232801612,-0.27502002005390824,0.7078516873702545
+0.0020567625116232665,-0.1819742450796494,0.6701649983992755
+0.0008667190839947834,-0.08254287001203267,0.629529566313129
+0.0010555919356372927,0.037647361608931375,0.579279354902856
+0.006509135369498891,0.3242156662007133,0.4201724975817896

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/AtmosphericRegime_coarse_target_ts_6.csv

@@ -0,0 +1,20 @@
+0.6566426445206386,-0.05853505129893056,0.3404318099711379
+0.11670606499795474,-0.3399973947594085,0.7317380378020946
+0.00929913009147481,-0.25785383242108034,0.7009210145212709
+0.0018131301706266925,-0.16410002044812036,0.6628925379218036
+0.0009194274056000897,-0.06244516995962718,0.6212450315935398
+0.0014073522465023723,0.0659896877865861,0.5670352340720537
+0.017177235976462042,0.2044632059874525,-0.47995273240229974
+0.06764728672167288,0.4731259208913361,0.01757000984763436
+0.174768962352566,-0.003626375982246805,0.42108039074416526
+0.4719160772259501,-0.1672297068153518,0.2178347637358717
+0.6472400741672341,-0.07457889209467945,0.42558718254528327
+0.0745724935702435,-0.3336821496973521,0.7305963249015449
+0.00662696350742841,-0.24573119945643823,0.6960221847355361
+0.0014597261597731354,-0.15136677510409943,0.6577047893798682
+0.0008455479917627067,-0.04783240137079983,0.6151998219224787
+0.001536180330139044,0.08826600673016308,0.5572225291955515
+0.01173006011116838,-0.09895526783142777,0.5061586358899841
+0.0602574844183178,-0.24419414243819448,0.400858791792544
+0.21393911446205335,0.3075969650606647,0.2552409666498733
+0.4685572517517975,0.10550000595109796,0.27449741876285216

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/BeerRNN_coarse_target_ts_12.csv

@@ -0,0 +1,20 @@
+5.52232885900425,3.0191212594805297,0.6721304948213127
+6.909008579218164,3.400201396383576,1.5961980819323824
+3.914470079586904,2.5376648546453793,1.111008226796646
+6.995335389384113,3.0700284669909323,1.950266991131172
+5.293679063891067,2.8016708789928213,0.8380740114607403
+6.5521739847531215,3.4546880104228763,1.1671301296326166
+1.5459630493455627,2.399611138466441,0.5948476182248728
+2.395731441561981,2.531666085909256,1.3468215148972627
+1.7550179444777938,2.073231352833544,1.1966114075293912
+1.1174622363315667,2.531337887454127,0.17124043292252455
+3.1609188454147747,2.554343266861301,1.7320093094151732
+1.1603322849094748,2.034205260823722,0.5659379717371349
+6.184024175334233,2.9348842959786423,1.8024774935249563
+5.545921918108536,2.9934170759331566,0.7160384332642428
+6.824042610176623,3.4147512547189165,1.4910174250935495
+5.555155824411437,2.562924921708799,1.580249447250354
+5.896505776815577,3.3428534378197705,0.6288451531571044
+1.4198345271997668,2.0631471852048406,0.8415277025719411
+1.5911631898275151,2.7314115090896407,0.44235658850230736
+2.744704436036681,2.3220996958448934,1.7990053214575752

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/BeerRNN_coarse_target_ts_4.csv

@@ -0,0 +1,20 @@
+7.135159034747345,2.9591677137437498,2.156853728345192
+4.847084404626737,2.8509318331287776,0.5712716653599516
+2.72543823231994,2.749338841488881,0.9332330999631897
+2.26702346445809,2.1461528383461346,1.6191662607433983
+0.9168182643426829,2.455366465869006,0.003840270445162904
+3.6933378141262487,2.6490080667601354,1.7726362691856603
+6.197006768011949,3.301918002551903,0.9259859844943363
+7.139567120264548,3.104962256964505,2.055932823249609
+4.812534915908735,2.73089904539004,0.7664515368725646
+6.748941442142023,3.473475468885281,1.3682043376511852
+1.210102349487032,2.304790738597524,0.38082362883504767
+2.7516708539667287,2.6986179857597508,1.3243774889795998
+1.8858010341064064,2.0306621994967036,1.3591851011451297
+1.2671819896410197,2.7388526550084844,0.0815147044835184
+3.036814816194545,2.397816411241391,1.8728744818787852
+6.517062038802656,3.3724239964107583,1.1889368813567238
+7.049047957114595,2.889424063360467,2.120348388865983
+5.031067602482861,2.92904763571047,0.5319596861439276
+7.2569230421601025,3.178596395288621,2.1409162879432975
+3.0452732165691714,2.642742338440951,0.46661851588985104

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/BeerRNN_coarse_target_ts_5.csv

@@ -0,0 +1,20 @@
+2.66506356227097,2.4079732489870187,1.6613113215996105
+1.2350003662071816,2.055307819775267,0.6390267670238208
+2.923839093626816,2.8745285641216767,0.9625862458413081
+2.190311065496348,2.077048293547536,1.6088626010744949
+6.89918897866218,3.2757882822562845,1.67717085912654
+6.1814949459358735,2.720871772814672,1.512060421236729
+5.802288743178722,3.26366672172472,0.6215797460309498
+7.275630389765171,2.914391465609172,2.3535823015230606
+4.4881039342260785,2.853595589812121,0.44430622846686085
+2.257378371358463,2.1877886269623974,1.5767115959477271
+0.9922117036466891,2.2894640389388976,0.20605661097891367
+3.6246163142150465,2.756403152608001,1.5499023872966227
+1.3183368900317318,1.9766790937754009,0.7847708938663699
+6.74323335370123,3.018830083754614,1.90215737189878
+5.408359032307937,2.871518204431683,0.7918492677073272
+6.630073653538379,3.445902881446969,1.2566292990974859
+3.785087636030048,2.5362918565661112,1.2747956554926916
+6.893639318527248,3.3705011332911825,1.5994443829874767
+6.028104275448828,2.613866645611694,1.6312952797142266
+5.78686115177492,3.2963030310404817,0.5811066081990681

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/BeerRNN_coarse_target_ts_6.csv

@@ -0,0 +1,20 @@
+5.634088128648308,3.2162980245256287,0.5418133505520712
+1.4173415135973493,2.2432498541008945,0.708508290942292
+1.9257718011098617,2.6010998189018775,0.9022621364192212
+2.304214840603221,2.247194203256163,1.5638218499751289
+1.0930884916992067,2.1927248718073664,0.38627379984273913
+3.069449208598928,2.801772015872855,1.25420223907585
+1.9301314554424756,2.0161177074291183,1.41325550394999
+6.878885019464553,3.1494791321043225,1.77347170325715
+5.826557442625971,2.8011500299738206,1.1404229821852687
+6.175091952841417,3.3605477633948544,0.8592128330482282
+7.235876771417643,2.92520220082098,2.293918235853819
+4.597065712525527,2.854251805615143,0.47831291838443873
+2.1198410261756195,2.1674769835716194,1.4755384580267508
+1.0345877485995325,2.307219459956255,0.2427982535430568
+3.3067252886912324,2.7341281002353073,1.492299684517977
+1.6004644037102491,1.96685259849276,1.1062277139350007
+6.827570904897149,3.0800102094175785,1.8331133684403969
+5.602349819785332,2.84030256963366,0.9445307594595317
+6.417418215415043,3.4165677595131463,1.053880172357366
+7.034805634604102,2.747522020313893,2.25400214135468

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/BelousovZhabotinsky_coarse_target_ts_15.csv

@@ -0,0 +1,20 @@
+0.012109700537735208,0.8676584671066867,0.8495314065749917
+0.015069009364810282,0.7208223698646052,0.8491967847695479
+0.019845954754153,0.638199034574377,0.8487959240844511
+0.027723247588422067,0.6064226437120203,0.8483900923649128
+0.04102299133158988,0.6191154189367332,0.8480363970574851
+0.06357104782310319,0.675350447415312,0.8477941436585342
+0.0924241057171688,0.7726028334526021,0.8477245317910532
+0.023128221640689586,0.8255260084028033,0.8477937939749212
+0.01596645057647582,0.6982205186369913,0.8474530080606543
+0.02130904009309331,0.6280036442925716,0.84704830170397
+0.03018163235573713,0.6066412954627375,0.8466517723701139
+0.04537846768745653,0.6293285997830651,0.8463207337825731
+0.07243943663170561,0.6974115609415146,0.8461174904652019
+0.11936320570276496,0.8171467376443997,0.8461162128596734
+0.15897574989248,0.9770481843375488,0.8463913565403286
+0.011142954326672769,0.9665726284249992,0.8467041059502781
+0.01351999720520208,0.7826895310844442,0.8464283450868174
+0.017326650957362074,0.6720961228888273,0.8460544955162713
+0.0235450700487316,0.6175751354905163,0.8456480831192323
+0.03398298573987015,0.6098200353897796,0.8452672311496232

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/BelousovZhabotinsky_coarse_target_ts_2.csv

@@ -0,0 +1,20 @@
+0.025556466034531215,0.6113553496273276,0.8460212798252784
+0.037415268589838784,0.6141189138692982,0.8456542745248576
+0.05842299828943489,0.6612005285262499,0.8453858785128768
+0.09940579444186706,0.7595646236027955,0.8452871767374257
+0.19020827961825343,0.9311489787870864,0.8454587952715656
+0.3611568097519249,1.203975186580794,0.8460515437715393
+0.4899705989737939,1.5326452108131188,0.8472130065143085
+0.1583249855020066,1.6948195262806676,0.8488527277348592
+0.00949771105328304,1.286056598381742,0.8492467950027438
+0.010946624828567031,0.9883833348564782,0.8491721315728041
+0.013219441720337883,0.795671968475356,0.8489073727729037
+0.016847975539427698,0.6786666453680126,0.8485368122765443
+0.022757993842463537,0.6191297798016834,0.8481274202309875
+0.032609834982367546,0.6069364980422662,0.8477377852936221
+0.049448542980735706,0.6383496921335087,0.847425393073184
+0.0776599620003406,0.7143643980741845,0.847252404642497
+0.10248594159343796,0.8261750687489908,0.8472781063574666
+0.013008923108419224,0.8103600546296361,0.8473009773117498
+0.01646254074017233,0.6875987746260097,0.846939105444564
+0.022122302591383848,0.6234926259668429,0.8465330798906909

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/BelousovZhabotinsky_coarse_target_ts_9.csv

@@ -0,0 +1,20 @@
+0.03550114047531077,0.8079094232992374,0.8483850301791056
+0.016231854940343984,0.6916505802211009,0.8480566395073985
+0.021745139565938897,0.6248289381310275,0.847649824872344
+0.03090973704461124,0.6063602300239441,0.8472548084584862
+0.0465794178389471,0.6317546138732383,0.8469289090691802
+0.0737939784004236,0.7021165657464955,0.8467341646448864
+0.11181517711573032,0.8178714254028018,0.84673872490386
+0.053820691577899926,0.910327321073484,0.8469499272455153
+0.014050600779423768,0.7588230366622387,0.8467086764299022
+0.0181854029750152,0.6588451086818884,0.8463243975313931
+0.024966563991662086,0.6128377652499833,0.8459178331922289
+0.03640632804325091,0.612661703602791,0.8455466059995063
+0.05662262284947308,0.6567132191111802,0.8452698303714186
+0.09616696870173123,0.7515925824896541,0.8451577953510345
+0.18729125819808395,0.9205363364407383,0.8453111880579836
+0.37694369371759096,1.2008106498785072,0.8458898201712916
+0.5652472379623598,1.5619959219635835,0.8470739311533059
+0.3870228304853657,1.8221433080987053,0.8488522225300505
+0.008978265790117453,1.4866071614466847,0.849838273938692
+0.010142364939672214,1.1208992909930284,0.8498979580977613

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/BickleyJet_coarse_target_ts_15.csv

@@ -0,0 +1,20 @@
+-1.2057544610197553,0.3682458299420062,-0.3940156211154512
+-1.2268092327202869,0.3809357870134759,-0.39171870121998753
+-1.2469126262774544,0.39367145596002023,-0.38941933748488766
+-1.266024912721024,0.4064456434538605,-0.3871175442553212
+-1.284110136426694,0.41925027390115194,-0.3848133358916307
+-1.3011359765914998,0.4320764787116431,-0.38250672676923314
+-1.3170736110889167,0.44491468840366927,-0.3801977312785065
+-1.3318975848247727,0.4577547263177433,-0.3778863638247204
+-1.3455856843041771,0.4705859028719865,-0.37557263882795205
+-1.3581188197382783,0.4833971094440244,-0.373256570722974
+-1.3694809156829055,0.49617691110133955,-0.3709381739591832
+-1.37965881091385,0.5089136375217703,-0.36861746300051784
+-1.388642168025872,0.5215954715466136,-0.36629445232532426
+-1.3964233930251433,0.534210534901184,-0.3639691564263191
+-1.4029975650111104,0.546746970692789,-0.3616415898104726
+-1.40836237592912,0.5591930223574255,-0.3593117669989119
+-1.4125180802475168,0.5715371087801021,-0.3569797025268495
+-1.4154674543093424,0.5837678953569038,-0.35464541094348345
+-1.4172157650434765,0.5958743608013358,-0.3523089068118961
+-1.417770747643244,0.6078458595255044,-0.3499702047089799

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/BlinkingRotlet_coarse_target_ts_1.csv

@@ -0,0 +1,20 @@
+0.396048286617776,-0.29686934036460966,-0.33270340069269444
+0.7057975058743992,-0.2019977435931516,0.27555933321218445
+0.3321086889759288,0.26071325144938373,0.7817778417441381
+0.2982911226288159,-0.23662183595840608,0.9984909528507104
+0.7430358825424654,0.14834330420467867,0.8454461804587972
+0.2021537314075656,0.09428813095009557,0.37931856099020855
+0.2997258609305962,-0.22069877355753728,-0.22727705959868283
+0.3079416261132068,-0.1814161403104718,-0.7497081874746775
+0.31466282274421353,-0.1410487455961333,-0.9945098467499736
+0.3197620814480861,-0.09981063201346442,-0.871027892635116
+0.3231391342130346,-0.05794142681118701,-0.4249897559831145
+0.6077149057103869,-0.16366024195541198,0.17842918840836092
+0.6980437035742881,0.026174479794285443,0.7157728229830458
+0.5670163443070388,0.1819423476185081,0.9880538214489409
+0.39925228040798433,0.1533117142779991,0.8944419805667895
+0.3233903546872965,0.018636397335916904,0.46960332916403846
+0.3510483619796876,0.10853924154314389,-0.1291372815718104
+0.3474730873106511,0.14055566299715946,-0.6800561992017222
+0.3430732028340582,0.17194330720730797,-0.9791389432957176
+0.33792272601656115,0.20258343870027523,-0.9156301763788416

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/BlinkingRotlet_coarse_target_ts_12.csv

@@ -0,0 +1,20 @@
+0.794392678959843,0.25503514602099026,-0.8099025219434253
+0.7974449577503957,0.24533667390961864,-0.31992047817379565
+0.6504567024700968,0.391150755658241,0.2885334641747357
+0.3380235141205948,0.4388802434996861,0.7901386436709361
+0.11598723187205325,0.2984722677202844,0.9991422810886632
+0.013446087787200224,0.06834918938164534,0.8381468372784819
+0.04446410506153448,-0.18064797637753569,0.36677161513505574
+0.14212681150795486,-0.2798591816967282,-0.24042526443318643
+0.17259954137498487,-0.19514098242612535,-0.7585886513460389
+0.19208176400340515,-0.10577528665959168,-0.9958339855050515
+0.19986607208544707,-0.013819407360379888,-0.864305355567446
+0.1956544432669398,0.07847874368637132,-0.4127100108948724
+0.15517794849661162,-0.007965488261047742,0.19171874673030123
+0.4937633480356205,-0.32997700956334847,0.7251508490385251
+0.6539192533346273,0.27558358638972263,0.9900474754933843
+0.1814667891203925,0.13096396797277127,0.8883129791958073
+0.33523981927746965,-0.29667146684752965,0.4576213439940287
+0.7681500571833008,-0.13995860951375655,-0.142535121226035
+0.7659797027546981,-0.15125343129406055,-0.689908449454872
+0.7636424124787896,-0.1625062537358116,-0.98179715125814

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/BlinkingRotlet_coarse_target_ts_13.csv

@@ -0,0 +1,20 @@
+-0.5394522481537768,0.46704352728181375,-0.841593095335617
+-0.8120284122373731,0.2529476312882612,-0.9988592269122532
+-0.8185638447851566,-0.24128192836174933,-0.7862310969508413
+-0.5474207632658649,-0.4647750848741295,-0.2824484547539707
+-0.42741583885854634,-0.48196011147087825,0.32592956963419195
+-0.43245017982679457,-0.48107714344303065,0.8136104284710561
+-0.4376286748655578,-0.47985767220279146,0.9999977511318413
+-0.4429408882906021,-0.4783087290920925,0.8160691977136928
+-0.4483763895495701,-0.47643711223151314,0.32993658478479726
+-0.33525596126575297,-0.4654687204006239,-0.2783770583578469
+-0.13136308608726582,-0.3566825979110641,-0.7836030254231258
+-0.009384339136254598,-0.1715579480679582,-0.9986476990517299
+0.01873447161406416,0.047112189483127086,-0.8438764434435035
+-0.05027414217370715,0.25668541593988425,-0.37660364060385393
+-0.15219280605389046,0.34065162327240606,0.23013178297288647
+-0.1818627628640735,0.27473245189466006,0.751645562072895
+-0.2053463800010204,0.20456674662274857,0.9948124303872317
+-0.2220035782365453,0.13108850548651063,0.8695836335350048
+-0.2313384167550663,0.055415020392917166,0.42233348742170745
+-0.3146218377625601,0.1925108062577927,-0.18131380579996673

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/BlinkingRotlet_coarse_target_ts_14.csv

@@ -0,0 +1,20 @@
+-0.13322845773774408,0.09743160617532545,0.19587990229659985
+-0.3088117554697559,0.30505096651748165,-0.40884281915592097
+-0.8000820661958854,0.07681653491174635,-0.86216421337319
+-0.38696624282759273,-0.33702742813777603,-0.9962117935860967
+-0.13362198046140328,0.0071432751523416976,-0.7613455010584093
+-0.4028369874738968,0.3408413845941095,-0.2445402482626132
+-0.6197040836326991,0.3165279502674589,0.36282234445616907
+-0.6145083304751882,0.3254263049709637,0.8358257606703888
+-0.609195537343898,0.33416052436308374,0.9993089320019862
+-0.6037710957349418,0.342725559858294,0.7927313084872488
+-0.5982405938824598,0.3511163811767251,0.29259203579390014
+-0.810151400413599,0.11716332779047726,-0.3158989566384881
+-0.5104956940068944,-0.37815303576644416,-0.8074072871107185
+-0.15836224050822795,-0.2173336109968908,-0.9999192083009648
+-0.11757663922542597,0.1377486844049483,-0.8221443391343902
+-0.4033386229734528,0.3769236777736998,-0.33991568408192885
+-0.6620117305908649,0.3221820617314766,0.26818942839543064
+-0.6568134940823214,0.3320927017709944,0.776979514393459
+-0.651473606364844,0.34187349994619326,0.9980411037605617
+-0.6459958217147795,0.3515203095579432,0.8495113962630724

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/BlinkingRotlet_coarse_target_ts_3.csv

@@ -0,0 +1,20 @@
+0.6750113268905226,0.30489241809564943,-0.3964643912022981
+0.6797823123683159,0.29459691526745163,-0.8552342971111166
+0.6843983106857376,0.2841902367846445,-0.9972966527985088
+0.688856372004663,0.273676515672814,-0.7700433942515862
+0.6931536769962988,0.26305990159283127,-0.2576302002560904
+0.37578079319688223,0.33151723439987246,0.35018776160450993
+0.1369976474628526,-0.026039012687553167,0.8283253440996468
+0.434386525176218,-0.34388030096287076,0.9997202112926323
+0.7679054946938915,0.16261331033101287,0.8009019800459988
+0.26235582475575614,0.2702822889575794,0.3054963634189324
+0.13450778095091995,0.13648911887520865,-0.3030396610820759
+0.09817034062907437,0.2500909655756018,-0.7993550356332073
+0.041651269962623055,0.35313241246151295,-0.9996558841676605
+-0.03283895866810286,0.4416952216024714,-0.829767455671705
+-0.12307865298412612,0.5124851334691867,-0.35260227386240545
+-0.1869654597745236,0.5361645012046241,0.25513742154611224
+-0.19855021783857013,0.51575379660179,0.7683954666959196
+-0.2103195012005452,0.4940314416169905,0.9971038315069779
+-0.22219754024430985,0.47094312086828366,0.8565679870296893
+-0.23409670038656968,0.4464422854855021,0.3988307046689063

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/BlinkingVortex_coarse_target_ts_13.csv

@@ -0,0 +1,20 @@
+-0.07776185578284886,-0.24532952114260767,-0.3996828889762097
+-0.053328525115826496,-0.20958711182725176,-0.3460192076067103
+-0.0332045372708908,-0.17215701555528093,-0.2911980136860129
+-0.017333538362255527,-0.13340843197190377,-0.23540269651335152
+-0.005670116496769417,-0.09367716434848598,-0.1788199040506681
+0.0018195344808763188,-0.05327514026881872,-0.12163891854328428
+0.005157368625891741,-0.012503948120711232,-0.06405102332729055
+0.004422397219610988,0.023760978788691576,-0.006248862943944145
+0.0029796177855943417,-0.004454881383213416,0.05157420130013964
+0.005633916993013002,-0.04609699255660947,0.10922473816986016
+0.012674075916825444,-0.08741546934687885,0.1665098935735668
+0.024121750698644237,-0.12806248775005927,0.2232380357031824
+0.04001127469363096,-0.16769791344875407,0.2792193960862984
+0.06038958954152085,-0.2059556600046598,0.3342667044037817
+0.0853153982009762,-0.24243277030162985,0.38819581495269045
+0.114857571459193,-0.2766760630904046,0.44082632265453936
+0.14909224014003394,-0.30816523129214834,0.49198216655092336
+0.18809758688855271,-0.33629088242161453,0.5414922187678847
+0.2319446011643328,-0.36032540168055177,0.5891908569769603
+0.2806806833999639,-0.3793836707491058,0.6349185184395423

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/Bouali2_coarse_target_ts_10.csv

@@ -0,0 +1,20 @@
+-0.5989713536735282,1.2198072992192683,0.05468555640258213
+-0.575704072101147,1.0210200173843527,0.054064843214478936
+-0.6385181085326762,0.8603766590588857,0.0534216583297908
+-0.7831889274254509,0.7519716378199528,0.05266764253820528
+-1.011109056794353,0.7122907174851854,0.05171352792120864
+-1.2857143176365047,0.7771713106644144,0.05048313905964718
+-1.453767878787719,0.997360830310892,0.04899530369959686
+-1.3120450603136355,1.3006512492618676,0.047484272540169965
+-0.9874303457531985,1.422210913529002,0.04625134913038726
+-0.7474509637900169,1.3254571912421171,0.04533473886836413
+-0.6409337516492791,1.149855130384698,0.04460157260278578
+-0.6354611534086185,0.9786621187739252,0.04392567580305025
+-0.7114503875594382,0.8435636701063786,0.043211174459977054
+-0.8650062840387872,0.7605571958868977,0.04237361898277704
+-1.0865114596807448,0.7499760127981359,0.04133300789565263
+-1.3143107369495028,0.8475396028759646,0.04004203526535288
+-1.3893666614100963,1.0740830387229598,0.03857164121912253
+-1.203586783592588,1.3065983874713392,0.03716314959297212
+-0.9283520701757867,1.3552658534040287,0.03602431902467716
+-0.7431721043096512,1.24557125485064,0.03513964135740725

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/Bouali2_coarse_target_ts_13.csv

@@ -0,0 +1,20 @@
+0.32671302833286475,1.9983233567851435,0.10343115957910091
+0.1294404471586668,1.5485558362087093,0.10365781086614068
+0.042553401256601515,1.187045082208959,0.10374554439450429
+-0.020100735653077944,0.9082533340025206,0.1037571559945878
+-0.09100220367394256,0.6954740050950265,0.10369948935407106
+-0.196805040461468,0.5349905006855521,0.10354986633042502
+-0.37698717290891504,0.4181792889326504,0.10325161416952552
+-0.7007527814646641,0.3450368600365856,0.10269142565628014
+-1.275833653800202,0.3408118464997024,0.1016602940176618
+-2.112766990544489,0.5674484035298111,0.09985390609886573
+-2.083789907428312,1.7379602149398807,0.09741741226603769
+-0.8241902709495562,2.355713136685855,0.09590538347415248
+-0.357967797058448,1.9579857673451568,0.09532662985551651
+-0.2412550850774266,1.5315066750248214,0.09502060352556049
+-0.231503834890479,1.18851920007881,0.09477332400264106
+-0.27790726946576366,0.9247211528674381,0.09450503948211231
+-0.3814363159353179,0.7278229999765675,0.09415776399589144
+-0.5679421780725977,0.590638401885323,0.09365841356701952
+-0.8829535028397256,0.5188325910224635,0.09289506138652104
+-1.3605142472234335,0.5546774106748737,0.09170682483328835

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/Bouali_coarse_target_ts_0.csv

@@ -0,0 +1,20 @@
+-0.9219764347838518,5.4334114492642485,1.2338042761743375
+-0.5558139453609805,4.698941335551069,1.2685264232823563
+-0.4073055181101044,3.7085323563488193,1.281143396851074
+-0.3747001478481568,2.861132787186478,1.2867788572823196
+-0.4365479426962636,2.2145967769403034,1.2925772829080535
+-0.6422339913539075,1.7775814224888145,1.3049371215104115
+-1.1272098019816377,1.6465812352799871,1.332110462584548
+-1.952381850220656,2.5180040856314223,1.3783962096879392
+-1.677461977270114,6.407684139276982,1.4180237785594498
+-0.5797512150309805,6.849261806664686,1.421507529737958
+-0.20918646374643832,5.274375045855851,1.4090761453108571
+-0.05466880106418918,3.9120917388502945,1.391493960060866
+0.07637736820230467,2.8874716170790955,1.3701042791895195
+0.280696224901405,2.1508322538744222,1.3420189670218303
+0.7029323040964177,1.702037997712837,1.2962189258394083
+1.5863146351978037,1.8479702323788665,1.1922769228465364
+2.266332329609308,5.136540914234954,0.8981191487332254
+0.8186826074048327,8.358686471069703,0.5231415415913326
+0.2989120065012664,6.68187742797458,0.3584274028624436
+0.19463149956207912,5.012798497133003,0.26980614556257004

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/Bouali_coarse_target_ts_15.csv

@@ -0,0 +1,20 @@
+1.8034117175020183,6.111260415688239,0.7959422615648346
+0.72138207929878,7.2894254393742575,0.47019827675024095
+0.3525174368268601,5.813986902215944,0.29661535866220057
+0.27210848192755793,4.409198580962407,0.17782642225426643
+0.29699427376827814,3.3301726561502134,0.059387397969901515
+0.4118147188394308,2.5485956422246687,-0.10006319212091971
+0.6705998520025939,2.048329309275424,-0.3736387285101118
+1.175415814126948,1.9445984419059377,-0.9518413154747905
+1.8108750268804747,2.905338123603021,-2.3530702267225574
+1.409513579086312,5.43134795996006,-4.978107217898678
+0.42323308352202194,5.220656611766405,-6.881546464856423
+-0.2562230706781913,3.902178361456108,-6.960541128110374
+-0.9374863665736105,3.2379779817757086,-5.484954833235921
+-1.5404179205432775,3.942256511859559,-3.1927148314537512
+-1.326470642916562,5.869094042806845,-1.4315540327426675
+-0.759749020668951,5.998382967196429,-0.6358998725046638
+-0.5115317871183671,4.968115471717473,-0.26684833142780345
+-0.4608053843179659,3.925580185195333,-0.027333259278427283
+-0.5294340656641453,3.1119786510826817,0.1813025650548786
+-0.7265994235682304,2.578769043144712,0.4023774874120684

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/Bouali_coarse_target_ts_5.csv

@@ -0,0 +1,20 @@
+0.2546856649323901,2.3404592057395743,0.10869959976005036
+0.4672829169100907,1.7930864133006463,-0.04677636233938323
+0.9373365219700756,1.5262929467325559,-0.394497205118048
+1.8209393437914676,1.99840158012,-1.3408424899005542
+1.9475540533230555,5.559834629447767,-3.8090513397428207
+0.5366447414833354,6.709804462180421,-6.057113703346491
+-0.15628989748433453,5.044456357551903,-6.319318072341834
+-0.6562071390755556,3.93961449912152,-5.323326348349732
+-1.1364318632960573,3.745171351688175,-3.627207006223592
+-1.349689559923489,4.5664196234513,-1.9363678562012447
+-1.0778739016411336,5.394253711977797,-0.8392209731657024
+-0.7566953410213523,5.116513590366312,-0.2699964624757372
+-0.612309087727295,4.330498269926466,0.05784507826552943
+-0.6074500002273853,3.5644592233614967,0.29580803174598014
+-0.7195176892062121,2.9954199755820254,0.5072864895226462
+-0.9599786806712003,2.72705559233299,0.7201704999159113
+-1.2965167880364328,2.967918188573469,0.9357029906668112
+-1.4458653316752408,4.0020187565960725,1.1193897405319944
+-1.1152632853560611,4.991592991492801,1.2294925495685471
+-0.7326705001387546,4.753568503073887,1.2779703523065225

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/CaTwoPlusQuasiperiodic_coarse_target_ts_14.csv

@@ -0,0 +1,20 @@
+0.3264331500336123,0.9730030702460183,0.5945137383387435
+0.3325525557188393,0.9650815066693536,0.5860411529262034
+0.33903149060482296,0.9563871114107032,0.5761237182156337
+0.3458777170481589,0.9468882535160651,0.5646741536184368
+0.35309426169609087,0.9365576744033909,0.5516142659860768
+0.3606774272610164,0.9253748489022705,0.5368815724135843
+0.36861412190441134,0.9133291803881235,0.5204379360682078
+0.3768782564687273,0.9004243323069315,0.5022804420892198
+0.38542587020417896,0.8866841072127094,0.4824545246022639
+0.39418854902375206,0.8721604065342846,0.46106892873163746
+0.4030646454175804,0.8569438900701623,0.4383113582051152
+0.4119079269190518,0.8411778663281718,0.41446255011813615
+0.420513858238506,0.8250753757929632,0.3899050898836408
+0.42860526834198753,0.8089378258769098,0.365121894923596
+0.4358222645748921,0.7931702182100798,0.34067882606129607
+0.4417258689890053,0.7782829304780616,0.3171876705765933
+0.44582853211717854,0.7648655740414376,0.2952508727613227
+0.44766123968128896,0.7535210774247347,0.27539719138391167
+0.44687005925332807,0.7447648522401099,0.2580242936109616
+0.4433096759225663,0.7389204967262627,0.24336490354611137

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/CaTwoPlusQuasiperiodic_coarse_target_ts_6.csv

@@ -0,0 +1,20 @@
+0.2343762994534756,0.9301824220179283,0.41533171918890704
+0.23310540425559267,0.9359330776946986,0.4258426137147212
+0.2319320951204984,0.941666296989964,0.4363680949339848
+0.23084872634082543,0.9473835797511583,0.4469049466805146
+0.22984882615887292,0.9530857140662548,0.4574501910425145
+0.22892692679825527,0.9587728749270941,0.4680010201596192
+0.2280784204131693,0.9644447072549917,0.478554739555299
+0.22729943707945183,0.970100395594517,0.48910872093333074
+0.2265867414882868,0.975738722480804,0.49966036272070014
+0.22593764549238615,0.9813581171985557,0.5102070569279132
+0.22534993409066312,0.9869566963880269,0.5207461611353971
+0.22482180281840916,0.9925322977185984,0.5312749746070995
+0.2243518048308202,0.998082507650867,0.5417907176902501
+0.22393880624282328,1.00360468413617,0.5522905137910701
+0.22358194852985247,1.009095974948789,0.5627713733180123
+0.22328061698141607,1.0145533322286924,0.5732301790728387
+0.22303441437158464,1.0199735237021987,0.5836636726358329
+0.2228431391456752,1.0253531409625658,0.5940684413485174
+0.22270676754017069,1.0306886051167108,0.6044409055394847
+0.2226254391502931,1.0359761700421333,0.6147773056734372

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/CaTwoPlus_coarse_target_ts_3.csv

@@ -0,0 +1,20 @@
+0.2323099166973923,1.078842212103569,0.14588240749749784
+0.2418469485426332,1.197450912098294,0.14619496735656584
+0.2943616363948959,1.23509585815005,0.14398155835772733
+0.4444333224498567,1.0446364841867963,0.1280714688930614
+0.4586337370431908,0.8292414737325957,0.10541774054996784
+0.3903224260646204,0.7794787738802182,0.11937150222148261
+0.3685021406477893,0.7365200616816944,0.1272679679520019
+0.34731417829417965,0.7194140567741567,0.13156479931225265
+0.319853409242586,0.7416044616299033,0.13573474719311304
+0.29137949990840883,0.8030479444348838,0.13962403600264214
+0.2678250130285559,0.8951939772735622,0.1425738571704866
+0.2562098885624397,0.9999280555207009,0.1442793648890273
+0.26645625900655623,1.0851145897194832,0.14446724888451057
+0.3194844088776452,1.0887317598769366,0.14151663036225823
+0.44264269711374976,0.9016120122443356,0.1254826545420449
+0.4355541916605552,0.7375335214277465,0.1114993477255654
+0.36751235309427194,0.7138827999065409,0.12383237716690908
+0.327233844397228,0.7323853284527798,0.1331605323283671
+0.29504165855511494,0.7904628065911846,0.13872039017170307
+0.2687227162679863,0.8822655690202358,0.142268358986487

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/CaTwoPlus_coarse_target_ts_4.csv

@@ -0,0 +1,20 @@
+0.2624358316933115,0.9574133191557984,0.14356758244327267
+0.26592553754729287,1.0450104627824226,0.1441957059869538
+0.30389383247847945,1.0730126663636887,0.14237489203445156
+0.40783897620792253,0.9423663336582128,0.13159236253564655
+0.4501844160198932,0.742615243918694,0.11240359573113098
+0.37774276657043593,0.7036107211725849,0.12140775262063815
+0.3295106029823802,0.7222225164857233,0.1321366720967432
+0.292267457715724,0.7858138257752042,0.13865782037194435
+0.26135828480457735,0.8890254706516874,0.14269972549346888
+0.2418331884260408,1.015598567053984,0.14501626630658498
+0.24264673991924704,1.135494946282306,0.14582444678642173
+0.2778235540581877,1.1993000274862142,0.14462697121197496
+0.3914182803300832,1.0921945654601644,0.13550885842033358
+0.4805125454085394,0.8297855454931022,0.1073566159791295
+0.3983539603779887,0.7687794376658611,0.1163762700657496
+0.3640481439036503,0.7376250934975542,0.1270493265231112
+0.3413094959956785,0.7298842571485149,0.1324176763654598
+0.316854497895427,0.7553975362210794,0.1364009484532554
+0.29307029710668886,0.8131612472044637,0.13974525920228825
+0.27535071428408286,0.8934132124871607,0.14216543053061736

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/CaTwoPlus_coarse_target_ts_9.csv

@@ -0,0 +1,20 @@
+0.4072716258483952,0.8386311071792486,0.11455600809415543
+0.3901980758765512,0.7664102139040563,0.12321974505678134
+0.37334308499328583,0.7118839437085672,0.1268724567172796
+0.3416747975413037,0.7054409833140342,0.1317491637142466
+0.30475975407837635,0.7513596248495712,0.13718973886792027
+0.2696340185120188,0.8444735870290115,0.14164807721263492
+0.24254854800441017,0.9721927147566346,0.14460982356471885
+0.23257318299683116,1.108779863868522,0.14606394317525428
+0.24981816345844504,1.2145950243369212,0.14596087325177742
+0.3199447703295017,1.2141401513710979,0.14237106960631132
+0.48108885166693144,0.9610748171667248,0.11904043122815708
+0.4343922170251572,0.8130327909949352,0.10828860445013586
+0.38279386688059913,0.7664743132657535,0.12208379219307557
+0.36303694429124694,0.7291524060433272,0.12856580999737324
+0.34012234096646976,0.7222910792537822,0.1327292321039096
+0.3121863476437948,0.755131013015734,0.1368515437084633
+0.284871093582066,0.8251093083626115,0.1404914309139426
+0.2641834299013404,0.9214220052994808,0.14309302097419074
+0.2577107050371142,1.0227500443140014,0.14440507768803407
+0.277007529426295,1.0914490168728688,0.14399583419297599

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/CellularNeuralNetwork_coarse_target_ts_0.csv

@@ -0,0 +1,20 @@
+-0.41136455323199206,-0.204081196056184,0.2299462455054183
+-0.6045726777595765,-0.1805856305104354,0.4730930969328045
+-1.1487970377642367,-0.3365556297893359,0.9904882947269747
+-1.5737690676460727,-0.7343788277533874,1.215526307471183
+-1.5439446568473012,-1.1259924549237372,0.9232445253170832
+-1.21690535508993,-1.110607927968565,0.5424064415083645
+-0.7253416931249139,-0.7062636388632889,0.21958225195084888
+-0.35459306918840044,-0.3446458777565042,0.034027295137303674
+-0.1498384496788875,-0.10103223075024712,-0.02121520286234541
+-0.13488558213561463,0.015162183815324444,0.06231042875162011
+-0.34757945276002644,-0.0007150404075773061,0.3142451304893779
+-0.872849209695155,-0.16503976881663387,0.8112184717399048
+-1.5242823580993912,-0.5316181814207527,1.3090990297886662
+-1.6719684812922555,-0.9359044705231377,1.2076909904260515
+-1.5143577542402422,-1.246391551731017,0.8166653421336463
+-1.1017239250655495,-1.069599947949888,0.43582725832492947
+-0.5696788218123564,-0.6178825404040664,0.10099322731983934
+-0.1360893693093778,-0.2410903944312937,-0.13926099118276428
+0.19757959252602944,0.03895323848235381,-0.3095943970895522
+0.4680327623799805,0.23552028671706765,-0.45297995901865373

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/CellularNeuralNetwork_coarse_target_ts_12.csv

@@ -0,0 +1,20 @@
+-1.0120912275112803,-0.9253339826930616,0.47537665689333786
+-0.663695326462213,-0.6014293820233763,0.258678262818562
+-0.4278252477292551,-0.3428183495767274,0.15261947393768827
+-0.3550730605687209,-0.18262460874550207,0.18164472334258747
+-0.5040580704846208,-0.14413337139202936,0.386282039588682
+-0.9744003102571532,-0.2568955220879985,0.8498159483106045
+-1.5249511720181124,-0.6269943369171818,1.2342087576860328
+-1.5886320067705737,-1.033883647706638,1.0384148712854313
+-1.3486558965113646,-1.1798401058711705,0.656969773438904
+-0.86440872034997,-0.8415909469693994,0.2965640241649537
+-0.4344692012588569,-0.44260106131990656,0.05932211545806085
+-0.15146234051097146,-0.15144215453057708,-0.057710764071758576
+-0.0317711989581291,0.02056668020583736,-0.05615274229795393
+-0.08986970917724833,0.07428683938260375,0.07063198147966412
+-0.36160397014102247,0.009253846981206302,0.3547873965484733
+-0.9361706647908064,-0.19153250788296888,0.8790433194365879
+-1.5504547639138924,-0.5724920857953204,1.321613436071482
+-1.6544269141169654,-0.9781076273628557,1.1666837821014124
+-1.4776756310806345,-1.24995572149127,0.7758806611111086
+-1.039232800127774,-1.0230405469631796,0.39504257730293063

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/CellularNeuralNetwork_coarse_target_ts_8.csv

@@ -0,0 +1,20 @@
+-1.1315316695129043,-1.0185888429170733,0.4918884115372971
+-0.7109033441086613,-0.6260512257256037,0.248088014330757
+-0.4825116922397617,-0.3303804309729682,0.18475653098973527
+-0.5100882596795601,-0.1856407817927094,0.32544549988457383
+-0.889512307760592,-0.22260980996920607,0.7445629188190109
+-1.4930634059896146,-0.5531182495341477,1.2229967438022713
+-1.6300760323139871,-0.9581037382595338,1.118819844820714
+-1.4369016358118556,-1.2017717161548298,0.7351715517314883
+-0.9780558892090424,-0.9383971199355359,0.35962442590504196
+-0.5256160486056207,-0.5149756756476919,0.10796885155786028
+-0.23377743860586525,-0.20473830509956456,-0.00906860500195625
+-0.1302953466393995,-0.025036637173181248,0.014704374571433225
+-0.24611451743341253,0.01844669861959464,0.1989869891734861
+-0.645633592060418,-0.08459047569021592,0.6002155512318365
+-1.3591384817093053,-0.3889303699903861,1.21223722667151
+-1.6796327575348016,-0.7885763359311783,1.3122324707155155
+-1.60019935815497,-1.1819544231532975,0.959307710973456
+-1.2894577965280172,-1.1947011720210439,0.5784696271652825
+-0.7608145187190961,-0.7840040797339758,0.2138095390346362
+-0.28545843119924247,-0.37087423738895126,-0.0605375418502757

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/ChenLee_coarse_target_ts_15.csv

@@ -0,0 +1,20 @@
+-0.4207788424014792,1.7004113786469657,12.328339517250075
+-0.6160993414027863,-1.242831664429141,11.160223908460356
+0.6870286664911257,0.49059678274379553,10.04272299867096
+-0.006875318799954396,0.1964285224688436,9.042109797820675
+-0.19931460236871992,-0.12932406128534915,8.128642205634684
+-0.14767535264735435,-0.12412340784353625,7.309043414291618
+-0.131323536910062,-0.09122316005520306,6.571407943643533
+-0.1835453268544852,-0.09835482714621331,5.908324673348879
+-0.34779142390824863,-0.1533691084051451,5.313840766115209
+-0.793588748428041,-0.29957143190953334,4.78745667221217
+-2.05202439045535,-0.6802867122187456,4.361315809999089
+-5.6962389167572045,-1.7806281266861035,4.311752257190524
+-13.717113082509144,-6.370995328591506,7.1246533282332205
+4.631946277510401,-3.767910188169688,13.296184605181727
+-1.9541388851725567,2.3113754286244936,13.0578728857258
+0.17176197999420395,-1.7324552208325399,12.044326683750068
+0.7881346619905188,1.2092620015232232,10.88960392568463
+-0.6233637996842463,-0.33269637738241414,9.800654649104745
+-0.13688302227533075,-0.27887990204730406,8.825020838145498
+0.12758402227632018,0.0444879374991304,7.933261731641913

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/ChenLee_coarse_target_ts_6.csv

@@ -0,0 +1,20 @@
+7.538227227967385,3.8690072361288577,13.145891118175664
+-3.851772281279007,-1.8413149479665143,12.827913141632692
+1.7299265613425776,0.32320594310442075,11.819346128292697
+-0.23541557993659043,0.5444167909154464,10.719625283266328
+-0.4724804062471272,-0.524100384887116,9.649845983427465
+0.11585022839291798,-0.044806876515052725,8.67987957274687
+0.18220503506085553,0.13611037705496237,7.8037519339059935
+0.1409358319543995,0.1108984259557248,7.016658050086834
+0.1526877037068783,0.09488382443969069,6.308580017902022
+0.24523877810895417,0.12103094727226192,5.6726230679619905
+0.5038797457771396,0.20869639688186556,5.104341010668915
+1.2127231443084068,0.4343773997098916,4.61134113909812
+3.242444971251285,1.0390713711359358,4.280861784663025
+8.883987217789421,2.9923808896701583,4.844826629905616
+11.68903838204814,11.142073792647851,11.713852882407611
+-6.373789555100929,-5.1246100180762495,13.048937863155908
+3.4002909818902967,2.2439120494767417,12.425637031602948
+-1.564339080878621,-0.413393189516686,11.385321709357616
+0.10163298378427994,-0.5408633465971063,10.3150705851273
+0.4791375890796496,0.43861928370649195,9.280471545700696

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/Chen_coarse_target_ts_13.csv

@@ -0,0 +1,20 @@
+-15.925045783008068,-12.760485851511246,32.63506339240465
+-2.761830384916587,4.827817769021169,30.30684958427784
+9.29129117830202,12.876541711652692,28.075062826820066
+10.719957009759316,8.537267129733921,30.439688714527183
+3.048859267320887,-1.2338293468506307,27.165156012774332
+-4.322302019719175,-7.0643821208821524,23.222832303610673
+-8.40236177869964,-9.697034006561667,22.61893410363031
+-9.612190451311289,-9.450322768510903,23.879150704747136
+-7.8327556246583905,-6.400373453614873,23.904467661929928
+-4.59139702245424,-3.0733940211900608,21.622547287448736
+-2.0940618861686446,-1.213924092440245,18.49405663641657
+-0.8965291338919523,-0.5677652184831443,15.571738463978395
+-0.5842948175772829,-0.5839679574594752,13.07715064445762
+-0.875425343979912,-1.1782686557359263,10.997092079998591
+-2.048699837621367,-2.989765664251499,9.375189817045865
+-5.498999517064777,-8.211706722541788,8.934000923338761
+-14.594953558339345,-20.778483968869768,15.238961570272256
+-22.64019431688453,-19.54602402611697,39.12677683761349
+0.5703205940865651,14.415497223334448,37.47500546521193
+16.094826644798992,14.912388762366662,42.72651801376716

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/Chen_coarse_target_ts_15.csv

@@ -0,0 +1,20 @@
+-9.789986776873757,-9.706163685877074,29.3039093021945
+-5.80378278487893,-2.670689807825882,27.50240085792908
+0.5003162137255036,3.1597691829938186,23.14891474166553
+4.912364942930183,6.664780025054779,20.27723900170115
+8.209438237633918,9.732048332623787,19.99783006502085
+10.92118984437929,11.831233896952474,22.55033500487271
+10.800369940785911,9.577070896315682,25.64782371518588
+6.34410432607606,3.6121381772861527,24.735300307900236
+1.0882154640865072,-1.1029268913148045,21.041276177810023
+-2.661237247576524,-4.248750539477324,17.836551165110127
+-6.122590027774599,-8.07365819292025,16.44577989546185
+-11.068756450394767,-13.84561030133676,18.934396191986377
+-15.289134579757484,-15.552963853833775,27.448109934833248
+-9.238961297941952,-3.62325839093968,30.634655799099995
+2.5452186369801346,7.453688503812291,25.843091334541512
+9.611798131938608,11.50832891193196,25.438656395276535
+9.964496353446899,8.441375099137359,27.20603039424636
+4.776768808437104,1.7922374167199773,25.002995883558008
+-0.6987438723272524,-2.916727800030207,20.999561167073328
+-4.590284295161874,-6.318264800480334,18.36781554492984

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/Chen_coarse_target_ts_2.csv

@@ -0,0 +1,20 @@
+-8.11661104023552,-9.75268688403642,20.298732355781528
+-10.885020334529068,-11.748234111777556,22.774719192121445
+-10.602306226552226,-9.303380670020612,25.65356001424542
+-6.113616769078197,-3.428531749542955,24.539923679215825
+-1.0091785343031334,1.1025244446906852,20.846282967048538
+2.609757257965251,4.151589690521998,17.667631282570746
+6.012395865182282,7.95331754686064,16.247441546080186
+11.006927948414909,13.855540151110196,18.68009935484203
+15.487278238274632,15.8930759405373,27.430136821037667
+9.45193679060076,3.6852258673739824,30.96203477820995
+-2.7141186020400876,-7.77615545317956,26.1286320121752
+-9.877173640725001,-11.68586466174522,25.93072373464236
+-9.76288143645992,-7.9267855319469245,27.57061773421061
+-4.078607948069969,-0.965211149723739,24.92252791951232
+1.4997683551750545,3.7310248036102367,20.922001358081744
+5.45170219756564,7.227473612862146,18.67921786499267
+9.284024159015116,11.253357599310572,19.41134691166357
+12.707143862129294,13.604115820929787,24.09179268400309
+10.934406173559374,8.179299618378897,27.96928244873697
+3.33592854328536,-0.5766295340527918,25.12075728596424

Math-Chaotic-Chaotic_system-Forecasting/raw_gt_data/Chen_coarse_target_ts_3.csv

@@ -0,0 +1,20 @@
+12.57613327948152,14.049665221594434,23.01334398814388
+12.175435059185967,9.906169585445536,28.27350925975084
+4.539190006185622,0.20246397792454288,26.3018562886132
+-3.1961968342567446,-6.223467138598999,22.217837386284128
+-8.151936494358203,-10.044047251108056,21.378047333415346
+-10.825830817215913,-11.361182702847476,23.740279443755984
+-9.648342494691164,-7.964179093507962,25.63886572611792
+-4.9484825204855225,-2.4407728856512287,23.62959151305984
+-0.4355899055213751,1.3704770074258796,19.933362158942636
+2.7214355568124566,4.131671221610527,16.94195690947307
+6.046940863031794,8.044981635196466,15.653383286669674
+11.365476855250868,14.460437418155092,18.453072927951915
+16.145377813188,16.397147774345,28.292269378745534
+8.925997656323034,2.4062950479130456,31.59615831644085
+-4.211333128159447,-9.421994793644483,26.743226520724406
+-10.851475077767034,-11.916506561465264,27.670494770261733
+-8.473032068269426,-5.475681736750008,28.357021093005425
+-1.3500465415493323,1.9823416570137455,24.382212554163942
+4.244861818065004,6.40963871642296,20.969636070114472
+8.047715719339331,9.67353737077144,20.39316735204134