Corrected performance evidence

600 valid runs.

The atlas contains 353 wins and 247 losses against TabFM Ensemble: 58.8%. Every valid row is retained. The result describes these 600 runs and is not a prospective universal success rate.

Valid performance runs600 valid runsThe complete corrected public performance set.Against TabFM Ensemble353 wins · 247 losses · 58.8%Jope-prime compared with TabFM Ensemble on every valid run.Final four-model Elojope-prime 1038.1 EloComputed from six pairwise lower-RMSE comparisons per valid run.

What if AI were a game?

The final four-model Elo ranking.

Four-model Elo ranking over 600 valid runsStatic final four-model Elo ranking computed from the 600 valid runs.90095010001050jope-prime1038.1TabPFN v31028.9TabFM Ensemble996.5TabFM936.6
Final computed Elo ranking
RankModelFinal Elo
1jope-prime1038.1
2TabPFN v31028.9
3TabFM Ensemble996.5
4TabFM936.6
TabFM, TabFM Ensemble, TabPFN v3, and jope-prime from the jAIn foundation family.Simulated learning path from 900 Elo; only the final four-model Elo ranking is computed from the 600 valid runs.Source: move42.elo-600.v1.

Focal algorithmic moves

Exact programs and three named within-dataset comparisons.

CPU, greenhouse, and spectrometer are post-hoc descriptive examples. No causal explanation or future frequency is inferred.

01

sub-20-second workflow

Cpu

Nested polynomial interactions and sigmoid transforms feed a ridge-GCV head; the receipt describes the executable structure without assigning a causal explanation.

Dataset
174 train · 35 test · 7 features
Search
17.578s
Finalist CV
1.183s
Fit + predict
0.480s
Total workflow
19.527s
Strongest stored foundation
TabFM Ensemble · 5.13× lower RMSE
Verbatim evidence: exact recorded program

Program SHA-256026a44f577eb9541291f255476d3085f5accec5707c8ae13de2370b89bdcd3d4

(pipe X (poly_interact append=true) (sigmoid append=true) (poly_interact append=true) (sigmoid append=false) (sigmoid) (sigmoid) (ridge))

dataset 87f1d673934c2f39 · source cpu.csv

Stored foundationFoundation RMSECandidate RMSERMSE factorOutcome
TabFM0.01767330520.00265388386.66×win
TabFM Ensemble0.01362337180.00265388385.13×win
TabPFN-v30.03008721250.002653883811.34×win

Limitation. The ablation is post-hoc and the small held-out split does not establish causal mechanism or prospective frequency.

Foundation comparator wall-clock was not receipted. The displayed clocks are candidate workflow only.

02

sub-20-second workflow

Greenhouse

A Gaussian-process regressor combines radial-basis and periodic components for the two-feature table; the match is case-specific, not a climate claim.

Dataset
250 train · 50 test · 2 features
Search
15.955s
Finalist CV
1.677s
Fit + predict
1.224s
Total workflow
19.614s
Strongest stored foundation
TabFM · 3.40× lower RMSE
Verbatim evidence: exact recorded program

Program SHA-2567626e65256423d6fc27e8cb5c0e7074fc692f7e2ec8088b9b1634b73d17ec504

(pipe X (gpr kernel=rbf*periodic m=300 steps=40))

dataset 174a532440eec96c · source rdatasets-dslabs-greenhouse-gases-concentration.csv

Stored foundationFoundation RMSECandidate RMSERMSE factorOutcome
TabFM0.01701911980.00500442623.40×win
TabFM Ensemble0.02332562260.00500442624.66×win
TabPFN-v30.02516620770.00500442625.03×win

Limitation. This is an inductive-bias match on one encoded table, not a climate-modeling claim.

Foundation comparator wall-clock was not receipted. The displayed clocks are candidate workflow only.

03

quality outlier

Spectrometer

A compact ridge-GCV calibration program is the recorded quality outlier; its longer complete workflow keeps it outside the fast focal pair.

Dataset
442 train · 89 test · 101 features
Search
20.440s
Finalist CV
19.012s
Fit + predict
0.563s
Total workflow
100.180s
Strongest stored foundation
TabFM Ensemble · 4373.89× lower RMSE
Verbatim evidence: exact recorded program

Program SHA-256c924becb3ed0bcf9bfa18bbab69430e65ed3a5cde0fa0ea7171fa832697bb28b

(pipe X (ridge_gcv))

dataset 9e5ba1af84e3972c · source openml-spectrometer-313-target-blue-band-flux-1.csv

Stored foundationFoundation RMSECandidate RMSERMSE factorOutcome
TabFM0.01471040160.00000270685434.54×win
TabFM Ensemble0.01183941200.00000270684373.89×win
TabPFN-v30.01226373610.00000270684530.65×win

Limitation. Diagnostics are consistent with a low-dimensional calibration structure; they do not establish a universal spectral-learning mechanism.

Foundation comparator wall-clock was not receipted. The displayed clocks are candidate workflow only.

All published atlas rows

The complete table, including every valid loss.

Candidate timing is shown because it is receipted. Foundation comparator wall-clock was not receipted; these columns do not measure a foundation-training speedup.

Visible outcome
600 rows visible
OutcomeRankDatasetTrain / testFeaturesHeadOperatorsFit + predictWorkflowRMSE factorCandidate RMSETabFM Ensemble RMSE
win1e49af32209ba515fmeta-album-md-5-bis-micro.csv666 / 13422ridge-GCVcheb, hinge, rank, target1.885584s47.268837s4492892.4428×0.000000000.00074675
win2168b9dbe9900fe4crdatasets-pharmaversesdtm-pc-pctptnum.csv1000 / 9995ridge-GCVcheb, oblique_hinge, pair_prod, quantile_bins, target_bin_encode1.746745s62.610991s4219692.0005×0.000000000.00093118
win306e07ed77ff35884rdatasets-histdata-galtonfamilies-midparentheight.csv778 / 1567ridge-GCVrand_proj, robust_scale1.391928s50.560455s73598.7087×0.000000010.00084468
win46f15f8805d4d6c60rdatasets-generalcorr-rhs1-tvcbprm.csv980 / 19623ridge-GCVcheb, pair_prod, target_bin_encode1.945524s84.670163s56762.1418×0.000000010.00075173
win5e552beec23b1574erdatasets-pharmaverseadam-adlb-pchg.csv1000 / 99983GPRnone recorded1.941624s54.477232s18064.3222×0.000000100.00174933
win6593a18710e59500dmunich-rent-index-1999.csv1000 / 10007ridge-GCVpair_prod, robust_scale0.742594s43.606594s17837.7016×0.000000050.00089307
win79e5ba1af84e3972copenml-spectrometer-313-target-blue-band-flux-1.csv442 / 89101ridge-GCVnone recorded0.563333s100.180149s4373.8936×0.000002710.01183941
win86eb4003f3ff8e956rdatasets-gt-constants-value.csv295 / 594histogram GBDTbin_onehot, cheb, histgbm2, pair_prod, rff_cos, row_stats0.727520s15.995274s152.4236×0.000105670.01610608
win90ae940eaa18eff35rdatasets-stat2data-bluejays-head.csv102 / 217GPRnone recorded0.788597s13.557106s52.4605×0.000115310.00604914
win104269f7ced30a0bfcrdatasets-sampleselection-mroz87-nwifeinc.csv627 / 12621GPRpoly_interact, robust_scale, sigmoid, standardize17.302866s125.684453s35.4779×0.000054770.00194309
win1148bcaee521b95d1brdatasets-ecdat-heating-pb-gc.csv750 / 15020ridge-GCVcheb, pair_prod, robust_scale, sigmoid0.984826s79.636603s21.6618×0.000034140.00073951
win12e12a64b5143f1bbeopenml-tecator-505-target-principal-component-17.csv200 / 40124GPRrand_proj, svd_project1.879407s28.608669s20.6143×0.001954150.04028331
win139a5249a8bbc00808ram-price.csv277 / 561histogram GBDThistgbm2, poly_interact, rank0.651476s13.210964s9.7548×0.000037900.00036971
win147d1497edfe70495dstrogatz-glider1.csv333 / 672GPRnone recorded1.020104s19.197835s8.7595×0.000299800.00262613
win1502e6e558e1185219rdatasets-ecdat-acledpopgdp-pop.csv195 / 3914GPRnone recorded1.381333s22.659497s7.9392×0.000633290.00502781
win1618f5c12975c0dbd9brazilian-houses.csv1000 / 100012GPRnone recorded1.435246s42.636207s6.9412×0.000010050.00006977
win17a7976f3b2cc7e347rdatasets-meddatasets-covid19sf-tests-df-pct.csv543 / 1094GPRpair_prod, polar, row_stats1.718414s23.441981s5.5984×0.002149690.01203489
win1887f1d673934c2f39cpu.csv174 / 357ridgepoly_interact, sigmoid0.479872s19.527443s5.1334×0.002653880.01362337
win19174a532440eec96crdatasets-dslabs-greenhouse-gases-concentration.csv250 / 502GPRnone recorded1.223867s19.614276s4.6610×0.005004430.02332562
win208d73470190bbdccacomputer-hardware.csv174 / 358GPRpair_prod, poly_interact, row_stats, sigmoid2.285376s25.148421s4.6090×0.002636990.01215382
win21d57c568f6a7b3e2drdatasets-modeldata-cells-total-inten-ch-4.csv1000 / 99957GPRpair_prod, poly_interact, sigmoid1.877166s44.044737s3.9476×0.001532440.00604943
win22471f11cc2d38853apmlb-feynman-test-11-target.csv1000 / 9994GPRpoly_interact, target1.453967s38.748121s3.8308×0.000281450.00107818
win23a6cff4082149c4fafirst-principles-rydberg.csv41 / 92ridge-GCVhinge, pair_prod, rand_proj0.742362s12.792870s3.3784×0.003880440.01310966
win248bdaf676faf73c75rdatasets-mi-nlsyv-income.csv265 / 537ridge-GCVrobust_scale, target, winsor_clip0.800549s15.145765s3.2304×0.013948380.04505865
win2548d7d0f1f2d6d389rdatasets-insurancedata-singaporeauto-lnweight.csv1000 / 99914ridge-GCVcheb, hinge, pair_prod, rank, sigmoid2.732037s74.704353s3.1746×0.000333720.00105943
win2677b71534b1fdea27first-principles-schechter.csv22 / 51ridgeoblique_hinge, quantile_bins, robust_scale, sigmoid, target_bin_encode0.590613s11.715634s3.1561×0.015097250.04764865
win27d52bfd2b6ab1c850pmlb-feynman-i-10-7-target.csv1000 / 9993ridge-GCVpoly_interact, rand_proj, rff_sin, robust_scale3.254179s59.067513s3.0769×0.000281140.00086505
win28436d4fa4a50e4449fri-c0-100-25.csv83 / 1725elastic netcheb, pair_prod, poly_interact, sigmoid0.447002s12.656549s2.9400×0.045079590.13253620
win295d38fc8f5517ee8eyokohoma1.csv10 / 31038ridge-GCVcheb, oblique_hinge, pair_prod, quantile_bins, target, target_bin_encode0.812279s12.107153s2.8515×0.088779150.25315657
win30b9be38a2d975279crealreg-openml-41490-compressive-strength-mpa.csv85 / 189GPRnone recorded0.637354s3.791298s2.8296×0.008579800.02427721
win310e4ce28ff046a7f3qsabr1.csv12 / 39ridgehinge, pair_prod, rand_proj, sigmoid0.535143s8.216406s2.7383×0.057085900.15631645
win326051037b0820049dfirst-principles-absorption.csv11 / 31elastic netbin_onehot, rff_cos, robust_scale, winsor_clip0.478375s9.260244s2.5835×0.016521090.04268299
win33ba0ade6cea200db7openml-glass-41-target-na.csv178 / 369GPRquantile_bins, standardize1.976146s23.520439s2.4628×0.011177880.02752895
win348fa6d3b101f15cefrdatasets-timeseriesdatasets-airpass-ts-value.csv120 / 241GPRrank, rff_cos, standardize2.296636s24.208983s2.2709×0.033035640.07502015
win35a7ca354386cfbc19rdatasets-mass-birthwt-rownames.csv157 / 3210ridgecheb, pair_prod, rank, sigmoid0.530774s17.175101s2.2530×0.004343770.00978667
win36cef3f85a73fbcf30rdatasets-histdata-quarrels-logdeaths.csv649 / 13080GPRblom, pair_prod, sigmoid9.360733s113.991997s2.1734×0.006734440.01463655
win37760d95fc5918b277openml-parkinson-speech-uci-42176-target-det-tkeo-std-10-coef.csv630 / 126753ridgepair_prod, sigmoid0.538467s78.229526s2.0856×0.000623920.00130123
win38626a71d420d6299csocrata-issued-construction-permits-3syk-w9eu-data-austintexas-target-masterpermitnum.csv1000 / 99948GPRwinsor_clip2.046957s27.626775s2.0311×0.010459960.02124489
win39eba042c56fdae36bsleuth-ex1221.csv35 / 78elastic netpolar, row_diff_stats, row_stats, standardize, winsor_clip0.455542s2.455500s2.0290×0.042238600.08570416
win40f935ef1be332fa1ffri-c0-100-10.csv83 / 1710elastic netcheb, pair_prod, robust_scale0.448191s6.377456s1.9771×0.047623550.09415592
win417a445e1b87747a58openml-glass-41-target-si.csv178 / 369GPRrand_proj, standardize1.405333s17.311819s1.9516×0.018541600.03618639
win42c51e5ef5977c0d0ardatasets-fivethirtyeight-sandy-311-total.csv1000 / 78323ridge-GCVcheb, pair_prod, robust_scale, sigmoid0.871744s32.494577s1.9508×0.004112800.00802321
win432ed105e22374c139limesoda-bb-30-1-dataset.csv25 / 57GPRpoly_interact, rff_sin, standardize, target_bin_encode, winsor_clip0.987047s11.320990s1.9403×0.081820850.15875977
win44c6255866b66b1bd6openml-pol-201-target-f7.csv1000 / 99926GPRnone recorded1.494617s24.016938s1.8509×0.003077920.00569699
win45caf3e57a90f1a316rdatasets-fpp2-h02-value.csv170 / 341GPRrff_cos, sigmoid3.181138s28.497841s1.7717×0.084816540.15026954
win467eca50d6ad206bd2nflpass.csv21 / 55ridgenorm_features, rand_proj, rff_sin, sigmoid0.489399s4.303067s1.7390×0.045578490.07925906
win4718f4e263e23f54ddopenml-glass-41-target-ca.csv178 / 369GPRrand_proj, robust_scale, standardize7.349524s66.973580s1.7330×0.009525890.01650857
win488d02af340d441be6rdatasets-aer-star-rownames.csv1000 / 99946GPRnone recorded3.743510s128.780155s1.7317×0.170473370.29520115
win49720d7c78971fe394elusage.csv45 / 102ridgepair_prod, sigmoid0.499646s5.886925s1.6831×0.084405180.14205856
win50bae19bd72aa85b78rdatasets-folio-ngrip2010-depth.csv1000 / 9993GPRnone recorded1.411749s31.210489s1.6781×0.000547950.00091953
win516955ec6bddc33c52rdatasets-dslabs-historic-co2-co2.csv578 / 1162other executable headblom, cheb, krr, oblique_hinge, rff_cos, target0.963990s25.955212s1.5862×0.027080730.04295504
win526991fa96a34bc316fri-c2-100-50.csv83 / 1750elastic netcheb, pair_prod0.415567s8.453253s1.5805×0.052650920.08321580
win53c690d228641d86afrdatasets-stevedata-co2emissions-value.csv1000 / 9991ridgeblom, cheb, oblique_hinge, rff_cos0.731205s24.510161s1.5711×0.026793890.04209467
win5489f05f6294e0d947openml-pol-201-target-f6.csv1000 / 99926GPRnone recorded1.500292s50.743774s1.5663×0.003256800.00510129
win55313a44578efc0e2efirst-principles-newton.csv25 / 53ridgepoly_interact, quantile_bins, rank, rff_cos0.563802s5.454055s1.5520×0.066642510.10343158
win568b2769d8e5ea56c6rdatasets-plm-parity-ld.csv1000 / 7688GPRnone recorded1.492716s24.506592s1.5245×0.000923910.00140854
win575348ba224acbe092rdatasets-oncodatasets-leukemialymphomageo-df-locationid.csv159 / 322ridgeblom, cheb, hinge, pair_prod, rank0.612932s18.975146s1.5235×0.004631790.00705663
win585edab99e48fa99dcjob-profitability.csv1000 / 100029histogram GBDTblom, histgbm2, pair_prod, quantile_bins, rank, robust_scale7.846893s89.622246s1.4522×0.006692170.00971821
win596c1245eb0394308btidytuesday-data-2018-2018-09-25-table-4-csv-invasion-cost.csv103 / 211GPRcheb, oblique_hinge, pair_prod, poly_interact1.455988s29.158203s1.4509×0.017221550.02498749
win605eccd54ab82154e0acorns.csv32 / 73kernel smoothbin_onehot, oblique_hinge, rank, rff_sin, row_stats, winsor_clip0.546171s10.031860s1.4443×0.096841820.13986541
win61f2c128e7f8ce0e55audiology.csv188 / 3868GPRnone recorded1.192548s16.300067s1.4219×0.101845640.14481517
win62b35941128e4c4c86first-principles-planck.csv83 / 172elastic nethinge, pair_prod, rand_proj, rank, rff_sin0.521822s14.929872s1.4121×0.045483720.06422640
win63e1c1db5260d0894efri-c4-100-10.csv83 / 1710GPRnone recorded0.710364s15.939556s1.4006×0.031333210.04388472
win642d675c206b1b74cdrdatasets-aer-parade2005-earnings.csv108 / 224GPRnone recorded0.808540s12.341364s1.3747×0.023821790.03274867
win65cc30813c821d48adrdatasets-datasets-ukdriverdeaths-value.csv160 / 321GPRrff_cos, standardize1.740179s21.997019s1.3487×0.105435210.14219838
win66b32b1ef94f6fae09qsbr-rw1.csv11 / 350elastic netpair_prod, rand_proj, robust_scale, standardize0.483764s6.548268s1.3414×0.204887040.27483971
win672c8e39ed043f5a57brazilian-houses-2.csv1000 / 10009GPRnone recorded1.429891s23.524432s1.3347×0.002373680.00316813
win6849e4ae19d7408222tidytuesday-data-2018-2018-09-25-table-6-csv-max-impact-percent.csv116 / 241GPRquantile_bins, winsor_clip0.840900s3.302187s1.3323×0.293620320.39118001
win696311eaae7090994efri-c0-250-25.csv208 / 4225elastic netcheb, pair_prod, poly_interact, sigmoid0.573828s21.593574s1.3272×0.042457010.05634954
win70b472a56644c4762eopenml-glass-41-target-mg.csv178 / 369GPRrand_proj, robust_scale, standardize1.776825s18.133959s1.3174×0.017637140.02323461
win7166472ed8d0c90837rdatasets-mass-drivers-value.csv160 / 321GPRnone recorded0.813493s24.322425s1.3072×0.111811610.14616081
win72b2f5383b923e59e1rdatasets-fivethirtyeight-librarians-jobs-1000.csv309 / 627ridgerobust_scale, standardize0.461540s16.531109s1.2908×0.000876580.00113148
win73472c9ce9e328f889openml-spambase-44-target-char-freq-28.csv1000 / 99957GPRnone recorded1.769542s22.726127s1.2819×0.018884990.02420802
win7429f57b7c11b54407rdatasets-boot-cav-x.csv115 / 231GPRnone recorded0.723527s8.461102s1.2787×0.310904330.39756405
win75dab23fb4d30d7e82rdatasets-aer-usprodindex-unadjusted.csv106 / 221GPRnone recorded0.786393s7.378063s1.2730×0.007260840.00924286
win76223c7f2bdbe8e390rdatasets-kmsurv-bmt-t1.csv114 / 2321GPRcheb, pair_prod, row_stats, sigmoid0.941539s8.541683s1.2493×0.005141740.00642367
win77d8226392841f6dffcar-crashes.csv42 / 96ridgepair_prod, sigmoid, standardize0.503061s4.915663s1.2441×0.039385040.04899938
win78656dbe9cb6b5745crdatasets-datasets-nottem-value.csv200 / 401GPRnone recorded0.980340s13.060879s1.2392×0.091186290.11299655
win7954bce134c0b1744bfirst-principles-leavitt.csv21 / 51elastic netcheb, rank, sigmoid, winsor_clip0.436394s1.623545s1.2384×0.055736550.06902276
win80e8e2e553fbeb8b57fri-c1-250-25.csv208 / 4225elastic netcheb, pair_prod, robust_scale0.629499s31.803247s1.2367×0.034949640.04322157
win81becb5ed8d5a73397rdatasets-fpp2-goog200-value.csv166 / 341GPRnone recorded0.921613s78.011258s1.2364×0.042490570.05253513
win828dc5b8d128a34f6drdatasets-kmsurv-rats-litter.csv125 / 253kernel smoothpair_prod, rand_proj, robust_scale, sigmoid0.584747s4.875809s1.2360×0.280172960.34630443
win83af8b792b0e1c0a0crdatasets-drc-germination-start.csv160 / 324GPRpair_prod, poly_interact, rank, standardize4.632998s42.149686s1.2301×0.009985890.01228318
win84cd809e79c79512d2openml-libras-move-299-target-xcoord40.csv300 / 6090ridge-GCVcheb, pair_prod, poly_interact, sigmoid1.180239s65.190395s1.2283×0.002814890.00345742
win85b9f6458238c5c10fbolts.csv33 / 76GPRnone recorded0.729727s9.823384s1.2267×0.016030650.01966545
win8695b5660335a5a4beopenml-mtp2-430-target-oz119.csv228 / 461088ridgeblom, oblique_hinge, pair_prod, sigmoid0.631797s61.003897s1.2172×0.009068890.01103883
win870d78633bdc19d73dfri-c0-250-10.csv208 / 4210elastic netcheb, pair_prod, robust_scale0.439852s9.402507s1.2082×0.031735780.03834197
win88d216d67469e1a2f2fri-c2-250-5.csv208 / 425elastic netcheb, pair_prod, poly_interact, standardize0.447219s17.339517s1.2067×0.032329810.03901324
win8956646b5099a60e11openml-wine-187-target-alcalinity-of-ash.csv148 / 3013GPRnone recorded0.896812s13.873797s1.2052×0.074649240.08996974
win9093376e350b4176ddrdatasets-fpp2-sunspotarea-value.csv117 / 242GPRpoly_interact, rff_cos, robust_scale, row_stats1.393296s22.775574s1.1989×0.082391180.09877490
win91be1bcba927f1a00frdatasets-np-cps71-logwage.csv170 / 351elastic netblom, pair_prod, poly_interact, rand_proj, standardize0.570666s8.554033s1.1928×0.119025310.14197476
win92045d4e654a5bb305analcatdata-galapagos.csv25 / 56GPRhinge, pair_prod, robust_scale, standardize0.863534s12.400889s1.1926×0.011823140.01409989
win93f372b3555f98c8e5rdatasets-dslabs-temp-carbon-carbon-emissions.csv220 / 444ridgebin_onehot, cheb, hinge0.520993s20.768612s1.1919×0.005771400.00687879
win94944f0fa926232db9openml-flags-285-target-3area.csv161 / 3328ridge-GCVhinge, pair_prod, sigmoid, standardize0.724147s15.686120s1.1905×0.029833470.03551596
win95c22984a0185b1c40rdatasets-aer-usmacrog-consumption.csv170 / 3411GPRnone recorded0.934050s14.830779s1.1890×0.002092480.00248790
win960d34d5fb33bdef50rdatasets-survival-flchain-kappa.csv1000 / 99910GPRnone recorded1.432980s39.592147s1.1842×0.023978100.02839434
win979824f279fe9623c7rdatasets-aer-uknondurables-value.csv113 / 231ridgeoblique_hinge, rand_proj, standardize, winsor_clip0.624290s18.683927s1.1768×0.045646070.05371856
win98bcad3535b67c8a1erdatasets-ggplot2-txhousing-volume.csv1000 / 9998ridgecheb, hinge, pair_prod, robust_scale0.664216s18.878137s1.1761×0.002797380.00329005
win9982aa997fb8a9cd5dfri-c3-250-25.csv208 / 4225elastic netcheb, pair_prod, poly_interact, winsor_clip0.498706s25.203214s1.1752×0.028890790.03395381
win10012e43ac7ac742489analcatdata-apnea2.csv395 / 803histogram GBDTbin_onehot, histgbm2, poly_interact, target_bin_encode3.042382s46.856853s1.1721×0.033170170.03887885
win1018005bf9ddfdd0304rdatasets-timeseriesdatasets-bricksq-ts-value.csv129 / 261GPRrff_cos, rff_sin, standardize3.864211s39.909280s1.1717×0.071628130.08392481
win102df89d7fcaa058336rdatasets-agridat-eden-tea-uniformity-yield.csv120 / 243GPRnone recorded0.775682s14.767684s1.1695×0.128764480.15059367
win10384a09209a7a55970openml-libras-move-299-target-xcoord36.csv300 / 6090ridgepair_prod, rff_cos, sigmoid0.527709s26.548785s1.1660×0.003603380.00420165
win1048861737a6a5f752aopenml-arrhythmia-5-target-chdiii-qrsta.csv376 / 76262other executable headpair_prod, poly_interact, rand_proj, sigmoid, stack31.615014s216.063847s1.1660×0.011961820.01394753
win105063f91bc78921226rdatasets-agridat-kang-maize-yield.csv170 / 344ridgecheb, hinge, rank, winsor_clip0.485104s13.455570s1.1617×0.080581250.09361335
win1068eb80c5310312879tidytuesday-data-2018-2018-09-25-table-2-csv-invasion-cost.csv103 / 211ridgecheb, pair_prod, poly_interact0.518471s19.208339s1.1616×0.024794040.02879994
win107a5387edacd3f7204rdatasets-ecdat-money-p.csv106 / 223GPRnone recorded0.854327s17.123561s1.1594×0.012572890.01457683
win1087252984253ce5b3fopenml-libras-move-299-target-xcoord43.csv300 / 6090ridgepair_prod, rand_proj, robust_scale, standardize0.558673s25.171387s1.1469×0.002949450.00338271
win1091bd1fef15e156d96aapl-stock-price-2021-2022.csv288 / 585GPRpair_prod, rff_cos, sigmoid2.130150s21.601243s1.1452×0.002231710.00255572
win11058af2a211f9648ccechomonths.csv108 / 229elastic netpair_prod, rank, rff_cos, standardize, target_bin_encode0.556808s6.075256s1.1403×0.177144660.20199182
win111b5801a429c1b8429vineyard.csv43 / 92elastic netpair_prod, robust_scale, standardize, target_bin_encode0.500401s2.601567s1.1400×0.100886870.11501427
win112b253fbfae8460dc1limesoda-nsw-52-dataset.csv43 / 97GPRpair_prod, rand_proj, robust_scale, sigmoid, target_bin_encode0.773016s5.596059s1.1372×0.076865850.08741278
win11353a15e2baa19ff81fri-c0-250-5.csv208 / 425ridgecheb, pair_prod, rand_proj0.568027s13.351783s1.1336×0.045146710.05117626
win1140cc7d6d0044d553ffri-c0-100-5.csv83 / 175elastic netcheb, pair_prod, quantile_bins, rand_proj, rank0.503875s9.069197s1.1332×0.040650240.04606387
win11585f619793c620da2rdatasets-aer-usmacrob-gnp.csv121 / 252GPRnone recorded0.827559s17.980245s1.1315×0.007277530.00823462
win11691ff597dfcd8e27erealreg-openml-191-time.csv161 / 3332kernel smoothquantile_bins, rand_proj, standardize0.472108s4.881095s1.1305×0.236761590.26765318
win117e415f6a9b7845c66rdatasets-survival-cancer-meal-cal.csv150 / 319GPRnone recorded0.924743s6.060954s1.1221×0.145372000.16312579
win118398e366e47c3fc41fri-c1-500-25.csv416 / 8425elastic netcheb, pair_prod, robust_scale, winsor_clip0.493471s40.300430s1.1213×0.031641760.03548044
win1193296e573e148f065rdatasets-openintro-cia-factbook-infant-mortality-rate.csv186 / 389ridgepair_prod, poly_interact, rank, winsor_clip0.565812s9.827141s1.1178×0.047020110.05256135
win1205e926fcd0b90ef5climesoda-bb-72-dataset.csv60 / 1219GPRnone recorded0.752359s18.890188s1.1165×0.110307740.12316190
win121a7736148457c7d50rdatasets-stat2data-co2-co2.csv197 / 401GPRrand_proj, rff_cos, standardize, winsor_clip2.295086s24.714706s1.1163×0.086373650.09641756
win12283f1323501655265rdatasets-fivethirtyeight-elo-blatter-gdp06.csv174 / 356kernel smoothcheb, winsor_clip0.421940s8.248627s1.1162×0.125023550.13955054
win1231132abec17e20721fri-c2-250-10.csv208 / 4210GPRcheb, pair_prod1.009633s11.688841s1.1148×0.034351610.03829421
win1246e14f7f5c0bceb4fames-housing.csv1000 / 100080elastic netblom, cheb, oblique_hinge, rand_proj, standardize, target0.716657s41.183094s1.1136×0.031282090.03483513
win1254b021af45419ce04rdatasets-neurodatasets-cerebellar-age-df-volume.csv120 / 243GPRnone recorded0.829243s19.099815s1.1131×0.049813950.05544864
win12656476b3f94282c12fri-c2-500-50.csv416 / 8450elastic netcheb, pair_prod, robust_scale0.453582s51.467420s1.1131×0.034309910.03818905
win127db5c0edafc109fa3rdatasets-mlmrev-oxboys-height.csv195 / 393GPRnone recorded1.070566s21.120419s1.1095×0.012913330.01432706
win1285eb86f38c2763259openml-libras-move-299-target-xcoord41.csv300 / 6090ridgepair_prod, poly_interact, rand_proj, sigmoid0.573714s31.433739s1.1083×0.002434880.00269858
win129eb5a7c08a54c0f05humandevel.csv108 / 221GPRnone recorded0.844367s9.200369s1.1074×0.142718420.15804205
win1307f7abffbc7ec6e2dlimesoda-mg-44-dataset.csv36 / 8353elastic netrand_proj, standardize0.426033s7.450191s1.1059×0.198349500.21936296
win13102683ae98254d34eopenml-fruitfly-199-target-thorax.csv104 / 214elastic netcheb, pair_prod, sigmoid, winsor_clip0.470637s4.518762s1.1049×0.135026740.14918885
win132e3a3632d477a30ccrdatasets-datasets-dnase-density.csv146 / 302GPRwinsor_clip0.884342s20.076301s1.1047×0.011912680.01315940
win13329471a34758b9ea0yacht-hydrodynamics.csv256 / 526GPRnone recorded1.546851s28.466760s1.1045×0.006260940.00691503
win134779bdf4eb5cbe898rdatasets-ggplot2-economics-pce.csv478 / 964GPRtarget1.390627s48.204948s1.1038×0.001757690.00194017
win13552d3452c98b67d7brdatasets-agridat-besag-beans-yield.csv126 / 265other executable headblom, cheb, pair_prod, rand_proj, stack, target, winsor_clip2.861933s33.201131s1.1028×0.119325140.13159052
win136a57280a17a31151crdatasets-fivethirtyeight-governor-national-forecast-win-probability.csv125 / 2510GPRnone recorded0.816637s21.780863s1.1018×0.005221140.00575272
win137123d344c42aa6617fri-c2-250-50.csv208 / 4250elastic netcheb, pair_prod0.438684s31.994232s1.1017×0.039179190.04316420
win1382fc05294a7f8c449rdatasets-aer-sportscards-years.csv123 / 258elastic netblom, rand_proj, standardize, target0.474499s2.764364s1.0980×0.156486830.17181626
win13908ed3adcdcc2749dsat11-hand-runtime-classification.csv246 / 50113kernel smoothblom, pair_prod, poly_interact, sigmoid, target_bin_encode0.550481s69.152816s1.0978×0.209493600.22998653
win140a874e73b2a8ba301openml-sonar-40-target-attribute-10.csv173 / 3560ridgecheb, pair_prod, rand_proj, sigmoid0.632839s16.869511s1.0965×0.044186730.04845195
win1419ee86bfe99b4d84blimesoda-ssp-58-dataset.csv48 / 10353kernel smoothpoly_interact, sigmoid, winsor_clip0.426722s12.061251s1.0890×0.096555710.10514811
win142409878238d62efdefri-c2-250-25.csv208 / 4225elastic netcheb, pair_prod, robust_scale, standardize0.465971s22.857712s1.0887×0.039655840.04317401
win1437027ea6aeba3cccbrdatasets-agridat-hartman-tomato-uniformity-yield.csv320 / 642GPRnone recorded1.339308s29.644078s1.0857×0.077171170.08378128
win144c5f9cbfb137a431crdatasets-experimentr-murrar-iatt1n.csv154 / 316elastic nethinge, rand_proj, winsor_moments0.554947s8.913376s1.0850×0.149789120.16251759
win1450ed3be90e467d999openml-sonar-40-target-attribute-38.csv173 / 3560GPRblom, cheb, pair_prod, sigmoid1.440407s18.243117s1.0839×0.073267900.07941530
win14673d859974a1a70d3rdatasets-agridat-baker-wheat-uniformity-yield.csv120 / 242ridgecheb, hinge, rand_proj, target_bin_encode0.708154s12.093960s1.0834×0.099427670.10772418
win147f624c9969e421732fri-c2-500-25.csv416 / 8425elastic netcheb, pair_prod0.445826s36.561421s1.0798×0.031058570.03353859
win14875ad984fb960577afri-c1-500-10.csv416 / 8410elastic netcheb, pair_prod, standardize0.425978s17.103467s1.0791×0.028462380.03071465
win149884f1a7e53c95cd6rdatasets-agridat-batchelor-walnut-uniformity-yield.csv233 / 472GPRnone recorded1.032199s6.330915s1.0774×0.174455240.18796442
win15063b12f4e0005d378rdatasets-mass-cats-hwt.csv120 / 242ridgeblom, pair_prod, sigmoid0.509492s2.746553s1.0771×0.087877620.09464970
win1514f2f78e585eb0268rdatasets-robustbase-possum-mat-possumdiv-bacacia.csv125 / 2613elastic netblom, robust_scale, sigmoid, target, winsor_clip0.486690s3.442996s1.0766×0.175492760.18893618
win152f133b4b7a21bf02drdatasets-ecdat-occ1950-1930.csv234 / 4731GPRnone recorded1.295304s21.813946s1.0745×0.001092020.00117341
win15399acfa47319db2e0rdatasets-fpp2-qcement-value.csv194 / 391kernel smoothcheb, hinge, oblique_hinge, rand_proj, rank, rff_sin0.526674s14.855725s1.0729×0.055723790.05978703
win154fa57b568c5a54323rdatasets-datasets-bjsales-lead-bjsales-value.csv125 / 251GPRnone recorded1.006253s21.468213s1.0723×0.040579270.04351403
win155fcabd669d54b160dopenml-flags-285-target-stripes.csv161 / 3328GPRblom, rand_proj, row_stats, winsor_clip1.723666s22.626196s1.0712×0.172046530.18430282
win1567907a87ef40c9609first-principles-supernovae-zg.csv202 / 411GPRcheb, rand_proj, rff_cos, rff_sin, sigmoid1.338867s23.334585s1.0708×0.004691910.00502426
win157d1f4f39c66223260mbagrade.csv50 / 112GPRnone recorded1.067958s5.173627s1.0708×0.234906090.25153717
win15895ef17099a05820drdatasets-forecast-gas-value.csv396 / 801histogram GBDTcheb, histgbm2, quantile_bins, rand_proj, sigmoid2.439931s27.162052s1.0703×0.027770450.02972218
win159a2bc236f8ec6e8derdatasets-agridat-adugna-sorghum-yield.csv240 / 495GPRnone recorded1.199099s21.873460s1.0698×0.065200600.06974989
win16033fc520b81b6e6b0rdatasets-modeldata-biomass-hhv.csv446 / 906ridgerff_cos0.407690s13.005695s1.0680×0.034292680.03662581
win1610faba9040a185fdbrdatasets-drc-metals-bif.csv452 / 912ridgequantile_bins, rff_sin, target_bin_encode0.600996s27.431351s1.0675×0.022397200.02390831
win162d4050caebb84f36dhutsof99-logis.csv58 / 127GPRnone recorded0.738747s2.142511s1.0670×0.231793040.24732942
win163df34308eed0f2447rdatasets-psych-garcia-gsbe-sexism.csv107 / 225elastic netcheb, rand_proj0.401974s3.450999s1.0666×0.221722580.23648976
win164562f73f02f50e70frdatasets-ecdat-consumption-yd.csv166 / 341GPRrand_proj, rank, rff_cos, rff_sin2.040700s27.814656s1.0663×0.009982870.01064518
win165270e6e0261e078ffopenml-wisconsin-191-target-smoothness-mean.csv161 / 3332GPRpair_prod, rff_cos, sigmoid2.938765s29.753375s1.0662×0.024868450.02651372
win16652316bd78c1523e1rdatasets-aer-usmacrosw-gdpjp.csv160 / 336GPRcheb, hinge, pair_prod, rank, sigmoid6.534101s56.316883s1.0661×0.005029330.00536158
win167fa02936a3e8d1763realreg-openml-199-class.csv104 / 214elastic netbin_onehot, rff_cos, row_stats, target, winsor_clip0.517462s5.043587s1.0649×0.184330610.19630029
win168766ddf1130865897rdatasets-datasets-faithful-eruptions.csv226 / 461kernel smoothcheb, oblique_hinge, sigmoid, winsor_clip0.463091s19.084743s1.0619×0.111214960.11809487
win169fc86fac9a89991dbrdatasets-psych-tal-or-tal-or-reaction.csv102 / 215GPRblom, rand_proj, robust_scale, sigmoid1.425512s7.731396s1.0600×0.219830790.23301975
win170d2df90b7a95ed21banalcatdata-wildcat.csv135 / 285kernel smoothquantile_bins, row_stats0.436335s3.705412s1.0597×0.123782020.13117007
win171ab7624a4eb2c9bcflimesoda-mwp-36-dataset.csv30 / 67kernel smoothoblique_hinge, pair_prod, quantile_bins, rank, robust_scale, target_bin_encode0.593188s3.500072s1.0590×0.143438860.15190456
win17224276fb243f40e01first-principles-supernovae-zr.csv196 / 401GPRnone recorded0.861102s20.110124s1.0570×0.004077970.00431029
win173cd5a6ad45ffa3883rdatasets-aer-usmacroswq-gdp.csv193 / 391kernel smoothhinge, winsor_clip0.501163s4.378479s1.0556×0.258528080.27288995
win174710f6b1131b39840limesoda-sm-40-dataset.csv33 / 75kernel smoothrand_proj, sigmoid, winsor_clip0.421726s1.741225s1.0548×0.240520200.25370627
win17517a4542ee4fb9e44lowbwt.csv157 / 329ridgebin_onehot, cheb, pair_prod, sigmoid, target_bin_encode0.560475s9.453603s1.0540×0.103328410.10890891
win176be4a6b5cc2d34f27rdatasets-agridat-brandle-rape-yield.csv112 / 233other executable headbin_onehot, cheb, pair_prod, row_stats, stack, target_bin_encode8.612220s63.748381s1.0527×0.054882440.05777528
win17727ac13d081671eddrdatasets-mass-synth-tr-xs.csv208 / 422elastic nethinge, pair_prod, rff_sin, sigmoid, standardize0.503998s6.667430s1.0523×0.219818550.23130798
win178bcadad6b124ac3b1rdatasets-fivethirtyeight-house-national-forecast-win-probability.csv490 / 9810GPRnone recorded1.541180s18.832155s1.0506×0.002662280.00279692
win1795ddabe6777ff2d60rdatasets-causaldata-avocado-averageprice.csv140 / 291elastic netoblique_hinge, pair_prod, rand_proj, row_stats, sigmoid0.529123s10.476045s1.0504×0.134559860.14134390
win1805e06eed2b0143f98rdatasets-vcd-hitters-putouts.csv128 / 263GPRnone recorded0.671406s13.008895s1.0504×0.043522050.04571470
win181604881dacb803e6efri-c0-500-10.csv416 / 8410elastic netcheb, pair_prod, robust_scale0.476527s11.862820s1.0499×0.043030330.04517927
win182a392eebf8a7dd572rdatasets-fivethirtyeight-russia-investigation-indictment-days.csv150 / 3110elastic netcheb, poly_interact, row_stats, winsor_clip0.470287s16.882676s1.0499×0.064990120.06823203
win183d6e04d5d746833c1rdatasets-stat2data-co2southpole-co2.csv290 / 583other executable headcheb, hinge, rand_proj, stack20.570407s154.676706s1.0495×0.002786010.00292404
win184728a04634fcd08b4fruitfly.csv104 / 214ridgebin_onehot, cheb, col, fft_mag, map, rand_proj, tanh0.544686s19.953302s1.0495×0.148617710.15597390
win185107bb74eb68f0be1rdatasets-fivethirtyeight-masculinity-survey-age-65-over.csv157 / 3210GPRnone recorded0.906260s19.408581s1.0483×0.042136960.04417008
win186a5fbfa103d5e2adfopenml-mfeat-karhunen-16-target-att5.csv1000 / 99964ridgeoblique_hinge, poly_interact, robust_scale, target_bin_encode0.773353s47.926061s1.0472×0.045441000.04758781
win1874bbfe8d4748dbe7flimesoda-rp-62-dataset.csv51 / 111412elastic netbin_onehot, poly_interact, quantile_bins, rff_cos0.480479s19.764660s1.0466×0.182008240.19049839
win188c01e018b015583e6fri-c0-250-50.csv208 / 4250elastic netcheb, pair_prod, robust_scale0.518857s33.817472s1.0462×0.042868290.04484703
win189e226eb40874c6c66rdatasets-daag-nsw74demo-re78.csv370 / 7510elastic netpair_prod, rand_proj0.434718s14.020644s1.0457×0.100314780.10489953
win19059f72dd48aed1651socrata-traffic-bollards-tracking-and-installations-3f5t-9dqu-data-cityofnewyork-target-replaceanchor.csv1000 / 99913ridgehinge, pair_prod, poly_interact, sigmoid0.719394s26.375350s1.0452×0.009578110.01001067
win1919cdcf68600af89bcrdatasets-meddatasets-pima-tr-df-ped.csv166 / 347histogram GBDThistgbm2, winsor_clip0.613661s4.617070s1.0452×0.106982770.11181320
win192a65b2c0438d6a4d8vinnie.csv316 / 642elastic netrank, standardize0.371614s6.221218s1.0450×0.084028740.08781200
win193f15cbe53f77912f5wbc1.csv158 / 323GPRnone recorded0.917429s7.432166s1.0447×0.183055540.19123997
win1945fe25055344e2c1ardatasets-datasets-sunspot-year-value.csv240 / 491GPRnone recorded1.147771s28.764244s1.0445×0.066456050.06941506
win195ce71abd01a18bbf2fri-c1-100-5.csv83 / 175GPRnone recorded0.785155s15.286244s1.0443×0.054758420.05718689
win196307963deed8ebe73rdatasets-cardata-rossi-week.csv360 / 7261kernel smoothpair_prod, sigmoid, target_bin_encode0.486166s27.853197s1.0442×0.047090820.04917397
win1970817487e4bbe20f3wisconsin.csv161 / 3332GPRrand_proj1.084413s11.512134s1.0441×0.255488500.26674291
win1982c1871285608f975humans-numeric.csv62 / 1314GPRwinsor_clip0.834752s4.170979s1.0438×0.288229950.30084866
win1997ad5208034b87279rdatasets-nlme-igf-conc.csv197 / 402GPRnone recorded0.725431s12.621464s1.0433×0.088999690.09285317
win200062e1845b6933f87ova.csv298 / 606GPRnone recorded1.366454s9.654181s1.0422×0.154968250.16150828
win201bba7e629c412b8cdchatfield-4.csv195 / 4012GPRnone recorded0.869071s6.224290s1.0403×0.055610960.05785160
win202d5bfe1c0258c35berdatasets-agridat-davidian-soybean-weight.csv343 / 694ridgerff_sin, winsor_clip0.463954s24.467125s1.0403×0.067318850.07003038
win203d94eced2cb968d54rdatasets-ecdat-electricity-cost.csv131 / 277GPRpair_prod, rand_proj, standardize1.222197s14.286532s1.0400×0.012139000.01262472
win2049ccb77099a88afafrdatasets-fpp2-a10-value.csv170 / 341ridgecheb, rand_proj, sigmoid, winsor_clip0.493273s11.679599s1.0398×0.056989780.05925987
win205bd86066ea22b7dc5rdatasets-openintro-census-total-family-income.csv404 / 816ridgequantile_bins, robust_scale, standardize0.471928s10.771919s1.0390×0.062889200.06534138
win206219610e1c37b61a2rdatasets-cardata-un-infantmortality.csv172 / 356elastic netoblique_hinge, pair_prod, sigmoid0.473721s9.993574s1.0389×0.067367380.06998631
win20794198d06b9fee8e6rdatasets-survival-mgus1-cancer-stop.csv254 / 5113GPRnone recorded1.287082s10.224418s1.0385×0.190056000.19737931
win208060b9fff8092db17pmlb-589-fri-c2-1000-25-target.csv833 / 16725elastic netcheb, pair_prod, rank, standardize0.549339s42.155253s1.0382×0.028623070.02971676
win2092c783ea8071b3ae9rdatasets-daag-psid3-re74.csv106 / 228histogram GBDTblom, hinge, histgbm2, rand_proj0.697082s4.240177s1.0378×0.207274810.21510972
win210b3b06d627c908779openml-libras-move-299-target-xcoord33.csv300 / 6090ridgepair_prod, poly_interact, rand_proj, robust_scale, sigmoid0.614127s28.684052s1.0377×0.003921300.00406919
win2111c6bdd99e5f3dbf7baskball.csv80 / 164elastic netwinsor_clip0.376873s2.290352s1.0376×0.094580230.09813359
win212c218bf7ff8783fd7rabe-176.csv58 / 123histogram GBDTblom, quantile_bins, winsor_clip0.539397s2.013857s1.0374×0.197668540.20506372
win213433e77d06d7376dblimesoda-b-204-dataset.csv170 / 3418elastic netblom, quantile_bins, robust_scale0.427437s5.011442s1.0373×0.158706580.16462131
win2149e6189205082b5f2nikuradse-2.csv301 / 611ridge-GCVpair_prod, rand_proj, rff_cos, robust_scale, sigmoid0.829294s17.717775s1.0360×0.020988280.02174338
win2154f118539d1a4c08csleuth-case1102.csv28 / 68kernel smoothrow_stats, sigmoid, winsor_clip0.423474s1.963208s1.0354×0.206576350.21389336
win21676065dcf65371a9frdatasets-survival-jasa1-heart-stop.csv141 / 298kernel smoothblom, poly_interact, rand_proj, rank0.462318s10.417017s1.0352×0.097220530.10064055
win2175ad5ecfc9a4d42b2rdatasets-stat2data-elephantsmf-height.csv240 / 482ridgequantile_bins, rand_proj, rff_sin, sigmoid, standardize0.502981s9.310093s1.0345×0.064282650.06650354
win218454fd617d14592b7transplant.csv109 / 222GPRcheb, rank, standardize1.467705s14.107501s1.0344×0.011393430.01178530
win2191d04a610cd8c6a65fri-c2-1000-5.csv833 / 1675ridge-GCVcheb, pair_prod0.706549s17.635317s1.0340×0.027603930.02854359
win2209d66c3d9a457a608hutsof99-child-witness.csv35 / 715kernel smoothbin_onehot, quantile_bins, rand_proj, target_bin_encode0.509475s9.442668s1.0337×0.149620060.15466685
win221e8e3e2ffc8e8b406rdatasets-crimedatasets-ndrangheta-list-node-meta-id.csv121 / 25148GPRfft_mag, pair_prod, sigmoid1.166301s21.335924s1.0335×0.276838140.28610786
win2224ba52563fd8e6a68fri-c3-100-10.csv83 / 1710elastic netcheb, pair_prod, poly_interact0.434499s13.294086s1.0325×0.038024220.03925886
win2234a04693a67059531rdatasets-betareg-cartask-nfccscale.csv129 / 262elastic nethinge, quantile_bins, row_stats, sigmoid0.446829s5.749348s1.0312×0.168581540.17384716
win2243b26281b976755e7rdatasets-pharmaversesdtm-ex-ophtha-exendy.csv487 / 989GPRnone recorded1.459125s23.967741s1.0311×0.144599520.14909558
win225296090f74398b583rdatasets-agridat-batchelor-apple-uniformity-yield.csv186 / 382kernel smoothblom, pair_prod, rank, sigmoid0.490081s5.249065s1.0310×0.228770960.23586992
win226bcf2352751fce764openml-mfeat-karhunen-16-target-att2.csv1000 / 99964GPRnone recorded1.701410s41.433376s1.0306×0.028716700.02959585
win2276304f640a2f213b5rdatasets-validate-nace-rev2-order.csv830 / 1666GPRblom, pair_prod, poly_interact, quantile_bins2.279482s33.314797s1.0300×0.049626720.05111594
win22832a9327e67a541dfopenml-liver-disorders-8-target-sgot.csv287 / 585ridgerand_proj, robust_scale, sigmoid0.509284s11.994312s1.0298×0.071285730.07341096
win229f965ed658ad38359rdatasets-heplots-bees-iz.csv205 / 415ridgepair_prod, rank, sigmoid, target_bin_encode0.552972s9.919035s1.0298×0.084998470.08753037
win2306eb787d66fd7b83afri-c1-1000-25.csv833 / 16725elastic netcheb, pair_prod, robust_scale0.537007s44.988332s1.0288×0.027607430.02840330
win231fada222407a1f4fardatasets-agridat-kadam-millet-uniformity-yield.csv200 / 403GPRnone recorded1.225253s9.460378s1.0280×0.059967970.06164903
win2321cdd6f3a9768ddb4rdatasets-neurodatasets-nfl-concussions-tbl-df-total-snaps.csv326 / 6613ridgepair_prod, target, winsor_clip0.554047s12.112581s1.0274×0.243079270.24974528
win23326909e6c01a11416rdatasets-cardata-salaries-salary.csv330 / 675ridgepair_prod, rff_cos, row_stats, winsor_clip0.546358s13.300800s1.0272×0.138432440.14220273
win234dd2b8e8d03586c60rdatasets-wooldridge-attend-prigpa.csv566 / 11410elastic netpair_prod, quantile_bins, rand_proj, rff_cos0.525808s9.874388s1.0266×0.105680330.10848983
win235c283a1635639ab33rdatasets-agridat-giles-wheat-gen.csv205 / 423elastic netrank, rff_sin, standardize, winsor_clip0.446423s10.668059s1.0266×0.284714950.29228003
win236e77cfb07dbd6eed2realreg-openml-8-drinks.csv287 / 585kernel smoothpair_prod, rank, winsor_clip0.439330s7.923429s1.0265×0.147331020.15123214
win237797e59095c8f284crdatasets-datasets-iris-petal-length.csv125 / 254GPRpair_prod, sigmoid, standardize, winsor_clip1.142811s11.257557s1.0265×0.037361150.03834960
win23805f1d10a0dd49aa7rdatasets-texmex-liver-tbl-m.csv505 / 1018elastic netrand_proj, standardize0.398353s16.028395s1.0263×0.065028590.06673665
win2397e99f9247c49b01frdatasets-openintro-association-y8.csv100 / 2114elastic netcheb, pair_prod, sigmoid0.432920s5.797399s1.0248×0.071105820.07286996
win240a776c5a582006d43rdatasets-dslabs-olive-oleic.csv476 / 969GPRrand_proj, robust_scale, sigmoid10.366864s97.116379s1.0247×0.009828780.01007173
win2419e7d8ff44c999428rdatasets-kmsurv-burn-obs.csv128 / 2617histogram GBDTbin_onehot, hinge, quantile_bins, target_bin_encode0.606385s17.195219s1.0246×0.130672180.13388415
win2420dc7fc3c33a4bbcfopenml-wine-187-target-hue.csv148 / 3013elastic netpair_prod, poly_interact, rff_sin, sigmoid0.475169s10.684636s1.0244×0.096728910.09909376
win2430624cc6a96dd0620limesoda-mg-112-dataset.csv93 / 1919elastic netpair_prod, row_stats, winsor_clip0.457416s5.154295s1.0239×0.074988630.07677718
win24445b3225a8c7384bbrdatasets-aer-oecdgas-price.csv285 / 575GPRpair_prod, winsor_clip1.985562s35.504984s1.0236×0.012864800.01316877
win245a70e6d5286a1bb67fri-c0-1000-10.csv833 / 16710elastic netcheb, pair_prod, robust_scale0.489382s16.428945s1.0234×0.038239300.03913446
win24653ccf88799bd8164fri-c2-500-10.csv416 / 8410ridgecheb, pair_prod, sigmoid0.479696s17.240743s1.0233×0.030384390.03109352
win2473cf6b306d65ade9ardatasets-fpp2-elecdaily-demand.csv304 / 612ridge-GCVcheb, sigmoid, standardize, target0.637162s25.161791s1.0230×0.054081800.05532762
win2481aa3913391abcc64rdatasets-mstate-aidssi2-age-inf.csv274 / 559elastic netstandardize0.350826s12.547201s1.0229×0.171926880.17586792
win2492a8e223f47b9d225openml-credit-approval-29-target-a8.csv575 / 11515elastic netpair_prod, rank0.527117s26.034541s1.0220×0.113303970.11580179
win2502198cd788a79faeeopenml-hepatitis-55-target-sgot.csv125 / 2619histogram GBDTblom, pair_prod, quantile_bins, target_bin_encode0.566163s5.713419s1.0215×0.188934770.19299577
win25154302cbb53ac2298pbc.csv348 / 7018elastic netrand_proj, robust_scale, sigmoid, standardize, winsor_clip0.466679s13.694624s1.0206×0.202888310.20706232
win2523f619e60edce8d54rdatasets-medicaldata-blood-storage-timetorecurrence.csv262 / 5319kernel smoothhinge, pair_prod, rff_cos, row_stats, target0.525906s18.998064s1.0200×0.259832590.26502981
win2531c710fd0dda8bbc3rdatasets-asaur-pharmacosmoking-age.csv104 / 2113kernel smoothcheb, hinge, oblique_hinge, pair_prod, quantile_bins, sigmoid0.853304s17.030581s1.0199×0.044091410.04496769
win254b49e23a256dd95eeopenml-diabetes-37-target-plas.csv640 / 1288ridgerand_proj, robust_scale, standardize, target_bin_encode0.536137s10.032657s1.0198×0.120555800.12293855
win255997f8cf7e5b8b1a9rdatasets-stat2data-elephantsfb-height.csv115 / 232GPRnone recorded0.836427s7.006624s1.0191×0.069374380.07069953
win256fcd6db9e5b59b7b1openml-glass-41-target-fe.csv178 / 369elastic netquantile_bins, row_stats0.397786s4.443763s1.0188×0.148604510.15140549
win257db3bb74ea7b70192chscase-geyser1.csv185 / 372elastic netoblique_hinge, pair_prod, rff_cos, winsor_clip0.508154s8.298492s1.0188×0.112856640.11498218
win25890f224e40e95f56crdatasets-drc-decontaminants-count.csv106 / 222ridgecheb, oblique_hinge, rff_sin, winsor_clip0.647382s15.545985s1.0187×0.100517940.10239290
win25912b9f57a3db55a5eopenml-iris-61-target-sepalwidth.csv125 / 254elastic netoblique_hinge, rand_proj, robust_scale, sigmoid, standardize0.473059s6.637031s1.0186×0.126614000.12896932
win260a8f9ee0080910b36rdatasets-agridat-burgueno-unreplicated-yield.csv361 / 732GPRnone recorded1.395688s12.147995s1.0185×0.131621400.13405311
win261c18cc7d595fc7029rdatasets-lahman-awardssharemanagers-pointswon.csv449 / 905ridgecheb, pair_prod, rank, winsor_clip0.533705s13.356653s1.0182×0.070320580.07160117
win2621c42a72376ec431brdatasets-agridat-gomez-groupsplit-yield.csv225 / 456elastic netcheb, pair_prod, rand_proj, sigmoid, target_bin_encode0.566417s10.060436s1.0180×0.116026080.11811650
win2631c25bd82d9040507rdatasets-aer-growthdj-invest.csv100 / 219elastic netblom, quantile_bins, rand_proj0.452079s2.421330s1.0173×0.128775610.13100428
win26453dac4986607860brdatasets-agridat-eden-potato-yield.csv187 / 388ensemble ridge/GBMpair_prod, poly_interact, rank, target_bin_encode0.832847s22.234619s1.0171×0.077370060.07869159
win2654be1d5050b8ee5f0fri-c0-500-5.csv416 / 845elastic netcheb, pair_prod, rank, standardize, winsor_clip0.490058s15.166768s1.0168×0.034884900.03547248
win26609b11fceff5ae447rdatasets-kmsurv-aids-infect.csv245 / 502GPRnone recorded1.201342s14.657969s1.0154×0.128609880.13059006
win267328bb92bea8fbbdcchanning.csv381 / 773histogram GBDThinge, histgbm2, quantile_bins, row_stats, winsor_clip0.686250s10.637674s1.0152×0.332064460.33711448
win268814baac40c5ba350spectrometer.csv442 / 89101GPRrand_proj, robust_scale, row_stats, winsor_clip4.257792s81.937010s1.0147×0.070183800.07121605
win2694b1dcc83fa087ac8rdatasets-agridat-durban-rowcol-yield.csv453 / 913GPRnone recorded2.353830s14.243015s1.0144×0.119606310.12132421
win2706345ce3d3c3166e8rdatasets-betareg-stressanxiety-stress.csv138 / 281elastic netrff_cos, robust_scale0.416766s14.939440s1.0143×0.152179700.15436340
win271c72458101ad492cfrdatasets-histdata-snow-deaths-y.csv481 / 972ridgerow_stats, sigmoid, standardize0.446109s13.777683s1.0142×0.145224430.14728947
win2723beab03ba2050017rdatasets-boot-wool-value.csv257 / 521GPRnone recorded1.400100s121.702963s1.0142×0.022380740.02269897
win27374330a749b342102fri-c1-100-10.csv83 / 1710elastic netcheb, pair_prod, standardize0.431323s5.672963s1.0132×0.053117550.05382009
win2740e10558e9cb29725rdatasets-aer-markdollar-value.csv431 / 871kernel smoothpoly_interact, rand_proj, robust_scale0.459504s17.011710s1.0129×0.138380800.14016275
win2754789f76192a400c4rdatasets-fpp2-elecequip-value.csv162 / 331GPRnone recorded0.853796s20.439050s1.0127×0.140253680.14203634
win276bf8c220d08f8e4b4rdatasets-stat2data-faithfulfaces-sexdimorph.csv141 / 296ridgepoly_interact, rand_proj, row_stats, sigmoid, winsor_clip0.570377s6.924264s1.0126×0.106412580.10775585
win277980b8a55787b291frdatasets-count-medpar-provnum.csv1000 / 4959kernel smoothhinge, sigmoid0.619148s20.422476s1.0125×0.120085060.12158409
win2780bfe8ef7abefb869rdatasets-agridat-caribbean-maize-yield.csv509 / 1029GPRnone recorded1.854923s24.510594s1.0124×0.072126090.07302211
win2797a839f6d52ea3dc4rdatasets-ecdat-budgetuk-income.csv1000 / 5199ridgeblom, hinge, rand_proj, rank, robust_scale, standardize0.571415s12.025986s1.0119×0.046263600.04681538
win2805329ac31cbd57ce3rdatasets-kmsurv-bfeed-duration.csv772 / 1559ridgeblom, standardize, winsor_clip0.499811s9.419794s1.0118×0.106213790.10747047
win28121186096cf2d4530openml-tae-48-target-class-size.csv125 / 265GPRbin_onehot, blom, oblique_hinge, pair_prod, standardize5.214604s37.532482s1.0113×0.168946810.17085302
win282e45a347638c36e91rdatasets-agridat-igue-sugarcane-uniformity-yield.csv1000 / 5122histogram GBDThistgbm2, sigmoid0.828256s25.450655s1.0108×0.126187060.12755121
win283759afd5a9ee2fcedrdatasets-lme4-cake-angle.csv225 / 454GPRnone recorded1.106473s6.566568s1.0108×0.094623870.09564329
win284f053fc41848c7cb3limesoda-pc-45-dataset.csv37 / 86GPRnone recorded0.755206s9.450073s1.0096×0.083077910.08387817
win2855d21a759a92617cbrdatasets-experimentr-sherman-cfs-after-5weeks.csv172 / 351histogram GBDTbin_onehot, histgbm2, row_stats, sigmoid, winsor_clip0.660836s10.112327s1.0095×0.107397330.10841655
win286f75c9e34aa8aef9fopenml-ecoli-39-target-mcg.csv280 / 567GPRnone recorded1.301602s8.294792s1.0093×0.133538780.13477682
win287defc1ad1056c451crdatasets-aer-dutchsales-value.csv354 / 711ridgeoblique_hinge, rand_proj, rff_sin0.598866s23.209251s1.0092×0.042543060.04293562
win2880a3c0865f9ae9389rdatasets-agridat-eden-nonnormal-height.csv213 / 432GPRnone recorded1.067289s8.415770s1.0090×0.204509260.20634999
win28911a7321bc045c456rdatasets-meddatasets-pima-te-df-ped.csv276 / 567ridgepair_prod, quantile_bins, standardize0.504627s9.087586s1.0090×0.141339920.14261008
win2907d6b4bee92286753rdatasets-ecdat-tbrate-y.csv156 / 322elastic netoblique_hinge, pair_prod, rand_proj, winsor_clip0.522269s8.910232s1.0087×0.151270850.15258684
win291dc476342be715f75rdatasets-daag-nsw74psid1-re78.csv1000 / 9999elastic netsigmoid0.380387s13.536435s1.0087×0.091637800.09243203
win292bc4f9b6c378a95eaqsar-fish-toxycity.csv756 / 1526GPRnone recorded1.508768s14.077425s1.0076×0.091142390.09183128
win29356eb6aa9decc39bfrdatasets-count-loomis-anvisits.csv320 / 6410ridgestandardize, target_bin_encode, winsor_clip0.502592s10.348504s1.0075×0.178739960.18007594
win294c50155f795308d2ardatasets-betareg-lossaversion-age.csv475 / 956GPRnone recorded1.370681s13.409521s1.0072×0.107659730.10843200
win295a9ad81b8671d2e8frdatasets-robustbase-condroz-ca.csv356 / 721GPRnone recorded1.363872s10.560203s1.0071×0.097124590.09781678
win2967c94a439368c9f0dchscase-census6.csv333 / 676GPRnone recorded1.658068s18.444896s1.0071×0.135002770.13595896
win297e3a8f28f8148298csocrata-daily-county-level-ozone-concentrations-2001-2022-3vxk-q2jk-data-cdc-target-o3-pop-pred.csv1000 / 9996ridgerand_proj, robust_scale0.586573s24.705936s1.0068×0.003502380.00352625
win29819e4785381807ca2rdatasets-ecdat-pricing-r1.csv348 / 7011elastic netquantile_bins, robust_scale, standardize0.464060s12.426613s1.0067×0.016461230.01657212
win2995502b20b72e46cf7places.csv274 / 558kernel smoothrank, standardize, svd_project, winsor_clip0.499189s8.810867s1.0061×0.107623380.10828523
win3003305a3ad973fb227rdatasets-drc-g-aparine-dose.csv200 / 402histogram GBDTblom, oblique_hinge, standardize0.533671s14.285242s1.0059×0.199352560.20053376
win3019abd4106066a14ccrdatasets-pharmaversesdtm-dm-subjid.csv255 / 5110ridgecheb, rff_sin, row_diff_stats, sigmoid, winsor_clip0.534689s9.130827s1.0058×0.301644440.30340510
win302eed392394870d8f6rdatasets-medicaldata-licorice-gargle-preop-calcbmi.csv195 / 4018histogram GBDTblom, target_bin_encode, winsor_clip0.539979s9.796293s1.0057×0.199774800.20092268
win303f3cac5627bd0d1e8rdatasets-agridat-evans-sugarcane-uniformity-yield.csv591 / 1192GPRcheb, poly_interact, robust_scale, sigmoid, standardize1.332258s28.417402s1.0056×0.141122660.14190993
win3041b320eb7d876b32ffictif-bkd.csv16 / 43ridge-GCVcheb, poly_interact, quantile_bins, winsor_clip0.681475s10.063274s1.0055×0.430565840.43293821
win305ad91a0d9a20ca5adaids-id.csv389 / 786GPRnone recorded1.372481s16.335340s1.0054×0.165159510.16605936
win30607b2b03db9bf0ab3rdatasets-causaldata-nsw-mixtape-re78.csv370 / 759GPRnone recorded1.655948s18.741491s1.0053×0.150664100.15146846
win307a3771b97564b9163pollution.csv50 / 1015elastic netwinsor_clip0.389735s3.844413s1.0053×0.150902750.15169666
win3083cbfb372a2110663mgus.csv146 / 308elastic netblom, rand_proj, robust_scale, winsor_clip0.485801s3.500054s1.0052×0.174752870.17566054
win3097e05ba6d37fa5f41climate-change-impact-on-agriculture-2024.csv1000 / 100014elastic netstandardize0.377317s11.129580s1.0047×0.123436540.12401932
win310f57f5a1e3177c961rdatasets-agridat-federer-diagcheck-yield.csv150 / 302GPRnone recorded0.777392s4.609624s1.0041×0.153235900.15386990
win311e6b33a23898576e9temperature-emissions-environmental-trends-2000-2024.csv833 / 1679histogram GBDThistgbm2, pair_prod, quantile_bins0.932159s17.978018s1.0040×0.313783280.31502570
win312c103ca66171431dcrdatasets-quartets-rashomon-quartet-x3.csv1000 / 9994elastic netpair_prod, robust_scale, sigmoid, standardize0.482762s15.131106s1.0039×0.049482490.04967692
win313d2daf53412ab18dcrdatasets-admiral-admiral-adsl-subjid.csv255 / 5118GPRcheb, row_stats, standardize, winsor_clip1.373457s15.021268s1.0038×0.313302180.31450226
win314be18e1586f1f6c5ardatasets-asaur-ashkenazi-famid.csv1000 / 9993histogram GBDThistgbm2, pair_prod, rand_proj, rank, rff_cos, robust_scale1.735050s21.351746s1.0037×0.284992030.28604251
win3156c33f144c47d331ardatasets-oncodatasets-malemicecancer-df-days.csv150 / 313GPRoblique_hinge, poly_interact11.199833s70.397020s1.0035×0.043763970.04391548
win3169cf3fe178c4c2620fri-c0-1000-25.csv833 / 16725elastic netcheb, pair_prod0.413415s24.424883s1.0033×0.042269230.04240924
win3179eb00a8112514153openml-anneal-2-target-len.csv748 / 15015GPRnone recorded1.436878s17.566057s1.0031×0.300665760.30160744
win318ca149d5bcd7fbc13rdatasets-ecdat-bwages-wage.csv1000 / 4722GPRnone recorded1.572262s21.899519s1.0030×0.078347430.07858346
win319d9951e49220f9ee5rdatasets-count-azcabgptca-los.csv1000 / 9595GPRblom, quantile_bins, target, winsor_clip1.210100s14.630102s1.0030×0.083872230.08412401
win320c318afaa4d7656bcfri-c3-250-5.csv208 / 425GPRnone recorded1.087648s21.385759s1.0030×0.037714330.03782649
win32193ff01c0afcd01e8rdatasets-experimentr-frijters-roommate-bmi.csv178 / 362GPRhinge, rand_proj, sigmoid, standardize, target1.132573s10.552021s1.0028×0.150932980.15135560
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loss489906b2ff854959978openml-heart-c-49-target-chol.csv252 / 5113GPRquantile_bins, rand_proj, row_stats, target1.288478s12.556850s0.9886×0.102447400.10127926
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loss52489fedc121efe7a57rdatasets-mass-nlschools-iq.csv1000 / 9995GPRcheb, sigmoid, standardize2.038380s28.299243s0.9844×0.117340450.11550804
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loss5407d382177a3fbf792rdata.csv866 / 1744GPRnone recorded1.519577s13.652848s0.9824×0.213676860.20991669
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loss5436379d5608d04e768rdatasets-usdatasets-ncbirths-tbl-df-weight.csv833 / 16712GPRnone recorded1.607712s18.957886s0.9821×0.083909190.08240523
loss5440a150f7e97f423a5aids2.csv1000 / 10005histogram GBDTbin_onehot, histgbm2, pair_prod2.907361s32.908614s0.9820×0.144819190.14221669
loss545749aca95e2d8e4b5rdatasets-daag-nasscds-weight.csv1000 / 99913histogram GBDTblom, robust_scale0.620944s21.733513s0.9819×0.048642990.04776368
loss5466363480a4eee5046rdatasets-heplots-peng-bill-length.csv277 / 567elastic netcheb, pair_prod, rand_proj, target_bin_encode0.568948s10.406290s0.9819×0.071537990.07024358
loss547bf63d65472b5789fopenml-diabetes-37-target-pedi.csv640 / 1288histogram GBDTpair_prod, robust_scale, sigmoid0.517440s13.114415s0.9817×0.141494810.13891157
loss548dfa2a9259ec99636rdatasets-cardiodatasets-cardiac-failure-df-age.csv249 / 5012histogram GBDTbin_onehot, blom, sigmoid, standardize, winsor_clip0.582288s15.337008s0.9816×0.206013670.20222640
loss549c761f7e5e95aeee2openml-credit-g-31-target-duration.csv833 / 16720elastic netblom, robust_scale, sigmoid, standardize0.451374s13.747466s0.9816×0.112105020.11003729
loss550f8536dfeef471c2frdatasets-aer-fertility-work.csv1000 / 9997histogram GBDTquantile_bins, row_stats, sigmoid, winsor_clip0.536146s11.954995s0.9815×0.423889580.41605450
loss55180de8b091b273122rdatasets-agridat-hernandez-nitrogen-yield.csv113 / 234GPRrand_proj, rank, rff_cos, standardize1.086185s13.717165s0.9814×0.089950970.08827652
loss55241d68ffefea82f24rdatasets-bayesrules-airbnb-small-price.csv724 / 14511GPRrobust_scale, standardize, target1.591212s21.224051s0.9813×0.092015330.09029120
loss5536cdd283bb1d8b351rdatasets-aer-doctorvisits-income.csv1000 / 99911elastic netrow_stats, standardize, target_bin_encode0.452897s13.374807s0.9812×0.214287770.21025578
loss554a882d8b478db2ecbrdatasets-ecdat-housing-price.csv455 / 9111elastic netpair_prod, rand_proj, rank, row_stats, sigmoid0.533490s13.573599s0.9811×0.109496810.10742812
loss55591e620deafcbb2a9rdatasets-agridat-goulden-eggs-weight.csv200 / 401histogram GBDThistgbm2, pair_prod, quantile_bins0.679586s9.505382s0.9811×0.125219160.12285296
loss5568407c6364f48b274rdatasets-quartets-rashomon-quartet-test-x3.csv833 / 1673ridgerand_proj, winsor_clip0.473822s12.451662s0.9810×0.046556490.04567036
loss5575cc40cd65b8f8b50rdatasets-mass-geyser-duration.csv249 / 501ridgebin_onehot, poly_interact, row_stats, standardize0.514222s28.927981s0.9809×0.180076420.17663674
loss5587c6cc6aa36ce6fferdatasets-stevedata-coffee-price-robustas.csv415 / 841GPRnone recorded1.401212s17.919347s0.9808×0.116133730.11390225
loss5596fea9585bd5db5ferdatasets-archdata-barmosei-pp-east.csv394 / 793kernel smoothblom, hinge, pair_prod0.468263s9.924691s0.9806×0.180535600.17703433
loss5608fb0b4677312f008dataftr.csv1000 / 10003GPRnone recorded1.368038s16.293027s0.9801×0.196571120.19266327
loss561555718155f3f3a75fri-c2-1000-50.csv833 / 16750elastic netcheb, pair_prod0.434463s60.018887s0.9801×0.030604280.02999431
loss562c9221b3ffe272c47qsbr-y2.csv20 / 59ridgequantile_bins, rand_proj, rff_sin0.504438s3.282279s0.9801×0.434363480.42570053
loss563b6ec19001ed76d56rdatasets-ecdat-treatment-re78.csv1000 / 9999GPRsigmoid1.218667s24.211736s0.9800×0.094976260.09308020
loss564eda95cdc966689a0openml-autos-9-target-wheel-base.csv170 / 3525GPRblom, pair_prod, poly_interact, target_bin_encode3.138858s34.393541s0.9799×0.019452670.01906119
loss565dee1fc8e9afd81c9grub-damage.csv129 / 268elastic netrand_proj, sigmoid, winsor_clip0.440239s8.587435s0.9798×0.280927960.27526244
loss566b603824ee4b8fa27rdatasets-cardata-slid-education.csv1000 / 9994kernel smoothblom, rand_proj, robust_scale0.573455s11.571233s0.9798×0.165396320.16205917
loss56798ccbb754b81f71ardatasets-agridat-draper-safflower-uniformity-yield.csv533 / 1073ridgeblom, hinge, poly_interact, rank, target0.576828s23.744693s0.9798×0.040741390.03991861
loss568f8ebcb0672f7c68arealreg-openml-4553-class.csv1000 / 99932histogram GBDTbin_onehot, histgbm2, pair_prod, rand_proj, rff_sin, sigmoid0.789005s20.637906s0.9795×0.307233140.30092330
loss569f784ec44b4be2155rdatasets-ecdat-hdma-lvr.csv1000 / 99912kernel smoothtarget_bin_encode, winsor_clip0.467723s13.504755s0.9792×0.088942960.08709680
loss570eefc343d92871563rdatasets-cardata-mroz-lwg.csv627 / 1267histogram GBDTpoly_interact, standardize, target_bin_encode, winsor_clip0.607269s18.317999s0.9792×0.120724180.11820717
loss571b7053462701dfdf4rdatasets-ecdat-ofp-faminc.csv1000 / 99918histogram GBDThistgbm2, robust_scale, sigmoid, target_bin_encode1.652516s23.957993s0.9791×0.047839790.04684140
loss5722be51817e6aaeef3rdatasets-aer-swisslabor-income.csv726 / 1466elastic netcheb, pair_prod, robust_scale, target, winsor_clip0.537457s21.827911s0.9791×0.074526800.07296930
loss573c5930e7ab1feb0e1tidytuesday-data-2018-2018-05-14-week7-starwars-csv-respondentid.csv988 / 19830kernel smoothquantile_bins, sigmoid0.383394s24.630156s0.9791×0.216304130.21178360
loss5744092b885d731c511rdatasets-datasets-treering-value.csv1000 / 9991GPRnone recorded1.342578s14.442956s0.9790×0.159645460.15629035
loss57527f48e60001191a1e1684.csv236 / 484elastic nethinge, pair_prod, poly_interact, robust_scale0.507700s10.935009s0.9787×0.126292830.12360799
loss576a23a6bf8a99bf55crdatasets-aer-cps1988-wage.csv1000 / 9996ridgecheb, winsor_clip0.423201s17.957914s0.9786×0.026347800.02578449
loss577b5e9ec2e9ef638c3health-insurance.csv1000 / 100011ridge-GCVhinge, oblique_hinge1.148848s28.851169s0.9785×0.165436970.16187722
loss5783b7b8aedc915c40aopenml-heart-c-49-target-thalach.csv252 / 5113GPRnone recorded1.296860s10.396188s0.9784×0.149132010.14591749
loss579360720f6b052bb81rabe-265.csv42 / 96elastic netrand_proj, standardize0.425319s1.609957s0.9782×0.065359820.06393696
loss5809d406178d493b909rdatasets-openintro-births14-weight.csv833 / 16712elastic netrand_proj, sigmoid0.395052s10.744220s0.9782×0.085812290.08394128
loss581da128a8ca7a63ac2breasttumor.csv238 / 489ridgepair_prod, quantile_bins, rff_cos, row_stats, target_bin_encode0.625519s12.827816s0.9780×0.180651060.17668288
loss58260938e3c23d15ff3rdatasets-mldatar-heartdisease-heartpeakreading.csv765 / 1539GPRnone recorded1.486201s23.636518s0.9780×0.111845220.10938111
loss583374e39e86bad95e7rdatasets-plm-produc-pc.csv680 / 13610ridgecheb, poly_interact, robust_scale, standardize0.575513s26.944775s0.9779×0.008898950.00870251
loss584527f5e1c3965712fopenml-ecoli-39-target-gvh.csv280 / 567GPRcheb, pair_prod, sigmoid9.027644s78.091886s0.9778×0.113462480.11093845
loss58571d2932d2407a6bfrdatasets-vcdextra-icu-rownames.csv166 / 3421GPRnone recorded0.949759s8.648122s0.9776×0.284846200.27847091
loss5867ee72bb0fe453a6farticle-influence.csv1000 / 10004ridgecheb, rand_proj, standardize0.458181s9.734160s0.9776×0.286117350.27971266
loss5876c7011aa6d9069f1timing-attack-dataset-256-micro-seconds-delay-2022-09-01.csv1000 / 100016histogram GBDTblom, sigmoid0.479933s16.859407s0.9776×0.308268380.30135626
loss5882a919e8c971db1ebtiming-attack-dataset-35-micro-seconds-delay-2022-09-09.csv1000 / 100016GPRnone recorded2.334938s25.677865s0.9775×0.317420650.31026717
loss5895203cb7a605bd349rdatasets-camerondata-incpanel-intnum.csv1000 / 9997histogram GBDTrank, robust_scale, sigmoid, winsor_clip0.571155s15.267179s0.9775×0.260400280.25453001
loss5908a5971f498b657cdflchain.csv1000 / 10008elastic nethinge, rand_proj, standardize0.468318s13.486710s0.9774×0.166628190.16286923
loss591edfd3bbc47a267d3openml-ecoli-39-target-alm2.csv280 / 567ridgeblom, pair_prod, sigmoid, winsor_clip0.579371s17.275769s0.9772×0.095470440.09329462
loss5925b3e8ece3ea63fc5rdatasets-aer-djfranses-value.csv641 / 1291GPRhinge, oblique_hinge, rff_sin19.813206s217.921267s0.9770×0.012535720.01224775
loss59372267ce726fc896brdatasets-boot-amis-speed.csv1000 / 9993GPRpair_prod, rand_proj, row_stats, sigmoid1.770645s21.619250s0.9768×0.135482600.13234418
loss59479c16e03a27df993openml-heart-c-49-target-trestbps.csv252 / 5113elastic netblom, quantile_bins, winsor_clip0.434310s10.186960s0.9768×0.160432440.15671362
loss5952864d2a432be587cgrace.csv833 / 1677ridgepair_prod, rff_cos, sigmoid0.531832s11.634365s0.9768×0.255506880.24958187
loss596f23f1d792e62a60ddisclosure-x-bias.csv551 / 1113histogram GBDTblom, histgbm2, pair_prod, standardize0.686430s16.919117s0.9768×0.118896520.11613622
loss597e7c38c954a3bd6a5rdatasets-agridat-christidis-cotton-uniformity-yield.csv853 / 1713other executable headrff_cos, sigmoid, stack15.859290s101.740510s0.9767×0.096949150.09468874
loss5981674565826a12d26rdatasets-survival-gbsg-cancer-pid.csv571 / 11510elastic netcheb, quantile_bins, robust_scale, winsor_clip0.461914s21.356156s0.9765×0.245401650.23964413
loss59949eb9093b61a7555meta-album-ins-mini.csv1000 / 10001GPRnone recorded1.438311s23.026649s0.9760×0.234552650.22892696
loss60084e307f5c421b511rdatasets-mosaicdata-cps85-wage.csv445 / 8910elastic netquantile_bins, rand_proj, robust_scale, target_bin_encode0.511173s16.749989s0.9757×0.090960660.08875269

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