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JonasSchroeder/train_test_performance_2022-12-03.csv

Created December 4, 2022 13:33
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train_test_performance_2022-12-03.csv
symbol r2_train rsme_train mape_train r2_test rsme_test mape_test N_steps method
MMM 0.9801237873137407 2.7130839330905596 0.012027681791123911 0.8187130706085194 4.466932673016484 0.030002371694127703 7 train_model
MMM 0.9808254358540457 2.664766513897708 0.012025008398716801 0.9417655986613341 2.531721721713469 0.014459712942955227 7 train_model_3
MMM 0.9789998561437275 2.729023317297847 0.012009889804084089 0.8750666663427211 4.0142451462123505 0.02642681972308712 25 train_model
MMM 0.9798283218912582 2.674651028851126 0.012119963345115161 0.9451829587670492 2.659025620679782 0.015445076816040926 25 train_model_3
MMM 0.9779435877068695 2.6082873075221884 0.011833425685985624 0.6390331323417517 4.139568850691674 0.029122755695490263 63 train_model
MMM 0.9765286956913078 2.6906462584159674 0.012565494122849914 0.9016935056140218 2.1602924340433294 0.0139408753380589 63 train_model_3
ATVI 0.9888805366434964 1.6269688793084482 0.017390709478937474 0.8777931863197639 0.9793038944087219 0.010181303308566895 7 train_model
ATVI 0.9904539769037175 1.5074696326724317 0.015457307688261363 0.9306177614855554 0.7378939081883205 0.007343179519079154 7 train_model_3
ATVI 0.9896549578839403 1.5799993018395055 0.016777714608680865 0.9174836307854783 0.8511792185234995 0.008526074344313787 25 train_model
ATVI 0.9898396643191045 1.5658306571523608 0.016261891446006094 0.9407597386482125 0.7212061799956829 0.006986059941213492 25 train_model_3
ATVI 0.9891112430936966 1.648975707852407 0.017573214265593533 0.7400722823306691 0.8768912021646637 0.008722669108871199 63 train_model
ATVI 0.9906915795852208 1.5246252277312806 0.015602046009353691 0.7742182567407121 0.81726674396965 0.008201247950316418 63 train_model_3
ADBE 0.9934673270169756 10.898221536231144 0.021880554046155062 0.9284130217779778 13.246318767604253 0.02804541168566476 7 train_model
ADBE 0.995364697116397 9.180138455909615 0.01720914385667694 0.9519350441979544 10.854066055537055 0.022480627160683813 7 train_model_3
ADBE 0.9942747484985077 10.09872644191438 0.019599709856793483 0.9342660616545557 13.523916765726769 0.02931865924170785 25 train_model
ADBE 0.9955761848434034 8.877032491735603 0.01587208324766133 0.9546279425872278 11.235745645836243 0.02309706318422701 25 train_model_3
ADBE 0.9942965719163952 9.909020430994438 0.017980284338319424 0.7606375722349225 14.808864482517262 0.03298845471370139 63 train_model
ADBE 0.9951812663114665 9.108129601194953 0.016488586011530557 0.8318168804068352 12.413234799151835 0.026680015591503473 63 train_model_3
GOOGL 0.9964847892549326 1.8779409993319789 0.016343183238650666 0.8989457147982632 2.9014610097112703 0.021547065290814963 7 train_model
GOOGL 0.9972521864493062 1.6603509327978132 0.013806027780261312 0.9148706057575664 2.6630489117658738 0.01917120387653073 7 train_model_3
GOOGL 0.9966910909184071 1.8240399951950814 0.017306514016064846 0.9118251209248843 2.7348292057506076 0.01967350436681234 25 train_model
GOOGL 0.9972711831416591 1.6564530631240177 0.014027573111090349 0.9182714527726886 2.6329624312718902 0.019110586315186265 25 train_model_3
GOOGL 0.9970396813507579 1.7315900740389276 0.01558852955585475 0.7483568956093272 2.713061615281627 0.021333080333757123 63 train_model
GOOGL 0.9971150383701455 1.7094085733668438 0.014067148817799822 0.762633703065191 2.63497601965824 0.020433946999927427 63 train_model_3
AMZN 0.9940953219105529 2.885356113776453 0.018199280196486978 0.9403379864199992 3.665188352119263 0.025106723995154 7 train_model
AMZN 0.9950984566409018 2.628861664793451 0.01496018959314709 0.9443426716097192 3.5400428780742645 0.023814328229631167 7 train_model_3
AMZN 0.9944612725142105 2.7571048652776144 0.01642830524384495 0.9475526798866748 3.6657452330574274 0.02381327843901559 25 train_model
AMZN 0.9947306814477398 2.689214925076394 0.015589633794446372 0.9501552189853536 3.5736373095782787 0.02305645093098594 25 train_model_3
AMZN 0.9941696238854625 2.781263985627253 0.01580980211860252 0.9227870916641255 3.668844322705005 0.02632885418759169 63 train_model
AMZN 0.9937759464832171 2.8736282563023265 0.016536378490744234 0.9316013793013442 3.453090816766723 0.023783256887363644 63 train_model_3
AMD 0.9941243202234933 2.9452602114104165 0.05070841444421203 0.9446313881154119 3.0744897203709285 0.03200562564125208 7 train_model
AMD 0.9961828269514873 2.3739170266815193 0.029285070782501012 0.9541885583832668 2.7965861774299627 0.028068965733597503 7 train_model_3
AMD 0.9942591425675111 2.898286449777777 0.04472625278134455 0.9378024012408683 3.5077241671859527 0.037005198134906776 25 train_model
AMD 0.9960541199654883 2.402840061775134 0.030529373392063564 0.9611845961995473 2.771026506047944 0.027773725833574202 25 train_model_3
AMD 0.9954094661414787 2.565799935816508 0.0330365288535231 0.8363857742126795 3.267198129508422 0.03678720946590917 63 train_model
AMD 0.9957040243632399 2.482116132718876 0.029182319966714523 0.8884841466918378 2.697324809153127 0.028492225811668742 63 train_model_3
BAC 0.9898157977558233 0.7174607242522596 0.0170886412271363 0.8865681345166732 0.7459806662268033 0.018171534000920437 7 train_model
BAC 0.9927158122562334 0.6067715217743789 0.014767002449039779 0.9156801069611976 0.6431689324395939 0.014678494044807653 7 train_model_3
BAC 0.9927135441997708 0.6102147311161501 0.015179378060505327 0.8907606573092497 0.7099705922465959 0.015290109931610327 25 train_model
BAC 0.9923470506981774 0.6253727284780942 0.015433238454683676 0.9008165589861219 0.6765040590153476 0.015474747915649442 25 train_model_3
BAC 0.9910456315724725 0.6870545225348929 0.017745546154499303 0.901228936615633 0.7835336203315396 0.017428527289893074 63 train_model
BAC 0.9925453738907822 0.6268832357589159 0.015433088255383245 0.9199826470367242 0.7052366303263116 0.016083171598561492 63 train_model_3
BBY 0.9892280582557476 2.1549818346094183 0.020170135548338915 0.8424015258660533 2.241670001604042 0.023861324091663104 7 train_model
BBY 0.9903309762672005 2.041681195058961 0.0182290606013884 0.8607634353024248 2.1070377943861156 0.02232677455656311 7 train_model_3
BBY 0.9896121954896739 2.1129162385379314 0.020200584857559406 0.8320985113560001 2.431498727648951 0.02678166647756177 25 train_model
BBY 0.9903059911866593 2.041136749300179 0.018155050569378838 0.8708740525210552 2.1323256637382806 0.02203671878058421 25 train_model_3
BBY 0.9901277333617446 2.068169922536921 0.01840118221296425 0.8743295411578388 2.2166423837342473 0.022443015064252954 63 train_model
BBY 0.990672301844303 2.010319204628153 0.017649605977228505 0.8759928769134512 2.201924119594427 0.022561676030064873 63 train_model_3
BLK 0.9958324327686896 11.175679674457063 0.014491151261574596 0.9105687298813896 17.36702565193179 0.01964972254260453 7 train_model
BLK 0.9962779996364257 10.561384246978353 0.014185520658721067 0.9189352801872578 16.534714077547743 0.018436153233726688 7 train_model_3
BLK 0.9959120350950609 11.122313216039359 0.015292503199330917 0.9131332844935294 17.752945801065405 0.019389682356604904 25 train_model
BLK 0.9963323830181289 10.53497548177461 0.014047995947605805 0.9181970467578013 17.22773640558145 0.019182347558566917 25 train_model_3
BLK 0.9961638739510345 10.921737190494623 0.01442827532288436 0.9175853543580674 18.96725405182616 0.021618058092273684 63 train_model
BLK 0.9963169035672892 10.701676840129915 0.014291701895169283 0.9149231586883372 19.271163768253878 0.022533266070072073 63 train_model_3
BKNG 0.9669390628698934 48.77934097256657 0.01846448212352259 0.8296812248882345 50.94764023573687 0.021460033832394955 7 train_model
BKNG 0.9732284190403442 43.89503078876467 0.015870732237231115 0.8626289805570259 45.75519087774851 0.019641308169886965 7 train_model_3
BKNG 0.9707432933937757 46.01980611985878 0.017193484591914006 0.8685150612934268 46.6435107481808 0.019426777132998965 25 train_model
BKNG 0.9737866257615283 43.56056762797567 0.015695240552195202 0.8792641928174763 44.69626900421901 0.019024242465410245 25 train_model_3
BKNG 0.9745809481280239 43.51102882894368 0.01578254278925403 0.8593559068526777 46.61821284532465 0.02010711110711952 63 train_model
BKNG 0.9738811450575084 44.105905785707385 0.015898111816463754 0.8657358437081926 45.54858767936668 0.019971971043037134 63 train_model_3
CPB 0.9797850866222743 0.7298825469118666 0.012984106391433865 0.7043793110642741 1.0695069029955153 0.01650439360988016 7 train_model
CPB 0.9778560392005091 0.7639143855806314 0.01336473392703663 0.9060981874145142 0.6027721348442717 0.009649053390020439 7 train_model_3
CPB 0.9756681107002694 0.807081570812688 0.015357631085575025 0.18855561990001168 1.6826025293730476 0.028373979045915272 25 train_model
CPB 0.9784695511272139 0.7591997505569614 0.013142207097225392 0.8890096266059819 0.6222928560276654 0.009874005752212697 25 train_model_3
CPB 0.9818349376303824 0.7075603625551975 0.012328311528328544 0.48081554689664663 1.5893609229800147 0.026159039806839743 63 train_model
CPB 0.9793748459781804 0.7539519161950378 0.012885395784601184 0.8979221304362364 0.7047376763212057 0.011226679065904641 63 train_model_3
CAT 0.9932016916877231 3.247576282782341 0.016313080485264777 0.9422522496660571 5.18470446813935 0.020181029530633623 7 train_model
CAT 0.9943162044648979 2.9694646259947333 0.014862893623515283 0.9580601384359398 4.418450231407259 0.017569214351887925 7 train_model_3
CAT 0.9925417078548345 3.4245042536512385 0.017358319015891452 0.942411361607063 5.402740631712875 0.021283667693782406 25 train_model
CAT 0.9942334242024594 3.011182078530291 0.015036025520685127 0.9664364096830703 4.124581784646695 0.016027431090331425 25 train_model_3
CAT 0.9937608471141404 3.1815153217815135 0.01600759181965647 0.9573616717449088 5.4962986928550235 0.022774999856112657 63 train_model
CAT 0.9940890383242265 3.0967081489982196 0.015338330465855258 0.9746855345008381 4.235011780623218 0.01626394544270558 63 train_model_3
C 0.9798187041973208 1.249020983458896 0.016453869945088608 0.9061837660126724 1.00832629959725 0.015784305421364248 7 train_model
C 0.9807677457701909 1.2192992486264953 0.01587275647292087 0.9087159970528558 0.9946251470859109 0.015364073906707406 7 train_model_3
C 0.9811585094902934 1.212695484397259 0.016531851809625787 0.8928480626731793 1.1464295092704686 0.018842112154349222 25 train_model
C 0.9802629563675079 1.2411811837475282 0.016373450152593078 0.9128225168359857 1.0340689693582816 0.015670347162535965 25 train_model_3
C 0.9816354730820447 1.203456497179377 0.015959641176099278 0.8398829910429623 1.1063810730733963 0.018740264234213756 63 train_model
C 0.9801767053499673 1.2503409110983421 0.016573448734357885 0.8850666936214431 0.9373654750467366 0.01649953892447544 63 train_model_3
KO 0.9838530884097584 0.8665740745911165 0.01501857770726015 0.882717903710023 0.9221946080665143 0.012324599964908374 7 train_model
KO 0.9909222224579886 0.6497566398887031 0.009135361340839879 0.93234254252191 0.700429703744239 0.009160871682895397 7 train_model_3
KO 0.9895929709291234 0.6936749877795765 0.010107171814522803 0.8939725766118141 0.9194219916459871 0.012377181123711159 25 train_model
KO 0.9906717506102865 0.6567388762788247 0.009345681809577564 0.9364321233880429 0.7119092502205684 0.009432366188334478 25 train_model_3
KO 0.9898403307518745 0.6775087975171717 0.010592455280960185 0.8221342460399703 1.121255907713462 0.015612054240506455 63 train_model
KO 0.9904270750170097 0.6576540242910007 0.009364002190614102 0.921382850695112 0.7454477727339625 0.009883660176656105 63 train_model_3
CL 0.9857152862639094 0.9376096813062678 0.009900357457486793 0.9170947851026346 0.9814428577307254 0.010258257460662348 7 train_model
CL 0.9868388127168498 0.8999820483499803 0.009052523480601886 0.9274706116689486 0.9179755237489475 0.009653703060291481 7 train_model_3
CL 0.9840018141359752 0.9994786716299702 0.010868682297664347 0.9089398335768181 1.0597509236787825 0.011298906796023283 25 train_model
CL 0.9867995538026134 0.9078884008033553 0.009229746778507379 0.9365233374643995 0.8848030808021204 0.009429576337650389 25 train_model_3
CL 0.9871053482323829 0.9065327036280801 0.009413375325005245 0.8938691439033599 0.8613731110723167 0.009562750158018012 63 train_model
CL 0.9869867063131011 0.9106935960203392 0.009384098234801247 0.8904013715800562 0.8753324653992524 0.00972613417797608 63 train_model_3
CMCSA 0.9918581370828456 0.7097638992391958 0.012854078666738074 0.9502326762521116 0.8321335914580431 0.017224198599953226 7 train_model
CMCSA 0.9917776827933346 0.7132620651697341 0.012921266380133243 0.9553673923015745 0.7880377841810352 0.016986336803810075 7 train_model_3
CMCSA 0.9917826221326816 0.7157887232079009 0.01304287139962914 0.9509314744812174 0.8208338420591547 0.017746775096748824 25 train_model
CMCSA 0.9916283240026755 0.7224776705332744 0.013075763801600818 0.9530367607679742 0.8030318520082796 0.017472374691784552 25 train_model_3
CMCSA 0.9919629071238398 0.7131101236547206 0.01291521079350359 0.7324263363577237 1.1100311552265554 0.029171690039605017 63 train_model
CMCSA 0.9922451681751623 0.7004760653065266 0.01251309600226261 0.8935534357086011 0.700131004042591 0.01736628676807839 63 train_model_3
COST 0.9968039426831031 6.286751462868451 0.013525194588599902 0.8795267895945422 9.703783090292005 0.014775309655524599 7 train_model
COST 0.9976744171672258 5.362717484895149 0.01060738539718695 0.894320730832568 9.088469181697773 0.013538500988595308 7 train_model_3
COST 0.9969502517941499 6.111526306767155 0.01323036063490453 0.8462662753286427 10.405155892868633 0.015695023955957798 25 train_model
COST 0.9972394849288684 5.814505083125256 0.013124257322778091 0.8794377347101622 9.214456334719038 0.013568331738703492 25 train_model_3
COST 0.9960085416189439 6.910909899877675 0.016358836778109734 0.6471976869130758 13.68772456414373 0.02121876700837323 63 train_model
COST 0.9975569534081062 5.406737727299495 0.010575423647357966 0.8134146321609257 9.954153578037516 0.01479874298666317 63 train_model_3
DAL 0.98519890052794 1.1897678429207799 0.0210837513391692 0.8290245944175977 0.8185672696467786 0.02002349222563802 7 train_model
DAL 0.9868224450461531 1.1226196919903408 0.01932540699006064 0.8406901341822799 0.7901488093662358 0.019370190941040304 7 train_model_3
DAL 0.9859773064629986 1.162366357951932 0.021008201497301343 0.7687052033213625 0.9130250088713173 0.02205967104254019 25 train_model
DAL 0.9865339647812635 1.1390615272043252 0.019807840341485142 0.8414505086606182 0.7559310226085788 0.018505995371967975 25 train_model_3
DAL 0.9866102418309771 1.1450404531704592 0.021011387197283748 0.8095471299555466 0.9423788909985407 0.022738123270135788 63 train_model
DAL 0.987040811269431 1.126479702671773 0.019571840109546615 0.8589163185962283 0.8110921167960919 0.01970330905294697 63 train_model_3
DIS 0.9913882932937638 2.5884251571762 0.013206196127073353 0.8939415068774069 2.752448043482813 0.020762221371358917 7 train_model
DIS 0.9915466996951012 2.5645085170259105 0.013159679679535236 0.9093336313996067 2.54489292510798 0.01869718800894272 7 train_model_3
DIS 0.9911499147981062 2.624842843646207 0.01383322425358265 0.892649563705827 2.7781899140399418 0.02047615568560203 25 train_model
DIS 0.9913766724700951 2.5909976621425685 0.013282876985845238 0.8988326000191994 2.69699609567481 0.019764316692819462 25 train_model_3
DIS 0.9905864718939541 2.696897237040184 0.014014023548979427 0.7698804380259008 3.0332235353353054 0.023186256782247578 63 train_model
DIS 0.9903545269949754 2.7299201961970176 0.01404689869138483 0.7971760984655164 2.8476539618636005 0.020790217379943434 63 train_model_3
DPZ 0.9933244516475565 7.551104382905334 0.01606954197023424 0.9342888018337182 8.16050057245933 0.01805052827018991 7 train_model
DPZ 0.9943477824704093 6.948265975614676 0.013977326013665482 0.9431610831020489 7.5896194984469 0.0159685096068102 7 train_model_3
DPZ 0.9928949312035066 7.682780795896022 0.016266375037039142 0.9303593793715712 8.536146450065653 0.01893037070843487 25 train_model
DPZ 0.9941136217595059 6.992917118965117 0.013838080360616291 0.9386914146852752 8.009237802466957 0.01693855978313607 25 train_model_3
DPZ 0.9932515489460874 7.3452513130143275 0.015575142667821592 0.8629798675874132 8.974762834796161 0.02078182859506567 63 train_model
DPZ 0.9940219733796837 6.913270189661622 0.01339148960989083 0.8709774731275169 8.708905157462778 0.01968385942488471 63 train_model_3
EBAY 0.9939258219388946 1.0367834279364192 0.016070770004217465 0.9061326593305402 1.0791945923426414 0.019729674548009137 7 train_model
EBAY 0.9944608048682745 0.9900739174468896 0.014639448349734005 0.9137688195154667 1.0343670300845187 0.018418395559881246 7 train_model_3
EBAY 0.9938596201399061 1.046674671528777 0.016148068943991022 0.9109136488179962 1.1346870370377455 0.020870115004423515 25 train_model
EBAY 0.9943189307446565 1.0067673838775204 0.014913337113177947 0.9292200992657218 1.0114058990150894 0.01792569340215957 25 train_model_3
EBAY 0.9944690707847181 1.006348277580018 0.016131632720207758 0.8919622323338466 1.0500785721473935 0.01945712557060935 63 train_model
EBAY 0.9945808501640635 0.9961272871090693 0.014820956778193188 0.8984196831870177 1.0182133266018616 0.01840171454436804 63 train_model_3
EA 0.9850565177202267 2.299300998596411 0.014969919109887844 0.8183581039213453 1.9053869774593977 0.012345155728769285 7 train_model
EA 0.9855750750785 2.2590544673760204 0.014426895996757129 0.8262585398339384 1.8634893406682855 0.012068987262532263 7 train_model_3
EA 0.9850552183578725 2.310399916834516 0.014923175625896812 0.8273566109356505 1.9386574825213236 0.012735666507650647 25 train_model
EA 0.9857497299050366 2.2560770164976574 0.01434891976967084 0.8343894278224663 1.8987602798371526 0.012469780575195554 25 train_model_3
EA 0.9850473569567962 2.3486249256562446 0.015442925967366931 0.8334657979943595 1.954714506013132 0.012998742326586194 63 train_model
EA 0.9860161207378237 2.2712686978906595 0.014543511311417347 0.8433178288381374 1.8960134167571898 0.012808516595768846 63 train_model_3
ETSY 0.9912002677481483 6.501077643354677 0.06058732173083982 0.8193270280332947 5.889251501487338 0.0494899697505357 7 train_model
ETSY 0.9948932099132468 4.952501630339015 0.03913330414281891 0.9052924399289461 4.263888418583542 0.033241341885113865 7 train_model_3
ETSY 0.9945109486407775 5.117383562524114 0.040772455299927776 0.8428682040106984 4.23397773381361 0.030686698831319578 25 train_model
ETSY 0.9949945237005301 4.886771443030318 0.03176422168127162 0.8395442456219366 4.278526053272181 0.031150834058796695 25 train_model_3
ETSY 0.9937338862738451 5.418391170771124 0.04392896070687146 0.7958348403428414 4.967840070362188 0.03635625761057786 63 train_model
ETSY 0.9945485335059268 5.053914519378639 0.034973200940612036 0.8156094612032282 4.721131600879371 0.03447319013713719 63 train_model_3
EXPE 0.9860761332456826 3.7574819957407173 0.02000469137162168 0.7224393313812372 3.315308947474675 0.027103580638518466 7 train_model
EXPE 0.9875505931093707 3.552968112229119 0.018392813308154708 0.7514029415195542 3.137567198200099 0.025251681906911155 7 train_model_3
EXPE 0.9864574005255367 3.732707934974369 0.019750031814108046 0.7688649209823798 3.1450159662840886 0.02494803840901927 25 train_model
EXPE 0.987097289905252 3.643455440993873 0.018855403543332375 0.77388070384162 3.1107043441893425 0.02475977764035623 25 train_model_3
EXPE 0.9848616814595955 3.9928077731253153 0.023031754088461035 0.1965202123397869 5.134901156745361 0.042163417646359995 63 train_model
EXPE 0.9875753529930498 3.6172757100887503 0.01875330635704113 0.6755898266123244 3.2628104353132765 0.026400206801548323 63 train_model_3
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