Move42

Recorded algorithm moves · historical games

600 recorded algorithm moves from historical games.

The atlas contains 353 standalone wins against TabFM Ensemble and 247 outcome-ranked losses. It retains every row and loss in the released interpretive set; it is not a prospective win-rate study. Filters change only the visible rows.

Outcome-ranked atlas600 casesAll recorded wins plus outcome-ranked losses in the released discovery set.Full matched cohort1,649 casesComplete eligible matched historical record before atlas selection.

Historical-cohort boundary

One cohort, two nested findings, one recorded-move atlas.

Historical cohort, TabFM Ensemble wins, and all-four-foundation winsThe eligible historical cohort contains 1,649 cases. 353 programs beat TabFM Ensemble and 228 beat all four stored foundation configurations.1,649 ELIGIBLE HISTORICAL CASES353 BEAT TABFM ENSEMBLE228 BEAT ALL FOUR
1,649 eligible historical cases → 353 TabFM Ensemble wins → 228 all-four-foundation wins.Source: formal aggregate-selection, all-four, and snapshot receipts. The conditional all-four selected-row rate is intentionally not reported.
Unsmoothed candidate speed and recorded quality for all atlas rowsAll six hundred outcome-ranked atlas rows are plotted by candidate fit-and-predict seconds and RMSE factor against TabFM Ensemble, with wins and losses visually distinct.faster candidate fit + predictslower →higher RMSE factor ↑e49af32209ba515f: 1.885584 candidate fit+predict seconds; 4492892.442834 RMSE factor; recorded win168b9dbe9900fe4c: 1.746745 candidate fit+predict seconds; 4219692.000450 RMSE factor; recorded win06e07ed77ff35884: 1.391928 candidate fit+predict seconds; 73598.708696 RMSE factor; recorded win6f15f8805d4d6c60: 1.945524 candidate fit+predict seconds; 56762.141776 RMSE factor; recorded wine552beec23b1574e: 1.941624 candidate fit+predict seconds; 18064.322222 RMSE factor; recorded win593a18710e59500d: 0.742594 candidate fit+predict seconds; 17837.701592 RMSE factor; recorded win9e5ba1af84e3972c: 0.563333 candidate fit+predict seconds; 4373.893649 RMSE factor; recorded win6eb4003f3ff8e956: 0.727520 candidate fit+predict seconds; 152.423575 RMSE factor; recorded win0ae940eaa18eff35: 0.788597 candidate fit+predict seconds; 52.460473 RMSE factor; recorded win4269f7ced30a0bfc: 17.302866 candidate fit+predict seconds; 35.477868 RMSE factor; recorded win48bcaee521b95d1b: 0.984826 candidate fit+predict seconds; 21.661816 RMSE factor; recorded wine12a64b5143f1bbe: 1.879407 candidate fit+predict seconds; 20.614257 RMSE factor; recorded win9a5249a8bbc00808: 0.651476 candidate fit+predict seconds; 9.754829 RMSE factor; recorded win7d1497edfe70495d: 1.020104 candidate fit+predict seconds; 8.759487 RMSE factor; recorded win02e6e558e1185219: 1.381333 candidate fit+predict seconds; 7.939173 RMSE factor; recorded win18f5c12975c0dbd9: 1.435246 candidate fit+predict seconds; 6.941228 RMSE factor; recorded wina7976f3b2cc7e347: 1.718414 candidate fit+predict seconds; 5.598429 RMSE factor; recorded win87f1d673934c2f39: 0.479872 candidate fit+predict seconds; 5.133372 RMSE factor; recorded win174a532440eec96c: 1.223867 candidate fit+predict seconds; 4.660998 RMSE factor; recorded win8d73470190bbdcca: 2.285376 candidate fit+predict seconds; 4.608973 RMSE factor; recorded wind57c568f6a7b3e2d: 1.877166 candidate fit+predict seconds; 3.947587 RMSE factor; recorded win471f11cc2d38853a: 1.453967 candidate fit+predict seconds; 3.830817 RMSE factor; recorded wina6cff4082149c4fa: 0.742362 candidate fit+predict seconds; 3.378397 RMSE factor; recorded win8bdaf676faf73c75: 0.800549 candidate fit+predict seconds; 3.230386 RMSE factor; recorded win48d7d0f1f2d6d389: 2.732037 candidate fit+predict seconds; 3.174630 RMSE factor; recorded win77b71534b1fdea27: 0.590613 candidate fit+predict seconds; 3.156115 RMSE factor; recorded wind52bfd2b6ab1c850: 3.254179 candidate fit+predict seconds; 3.076928 RMSE factor; recorded win436d4fa4a50e4449: 0.447002 candidate fit+predict seconds; 2.940049 RMSE factor; recorded win5d38fc8f5517ee8e: 0.812279 candidate fit+predict seconds; 2.851532 RMSE factor; recorded winb9be38a2d975279c: 0.637354 candidate fit+predict seconds; 2.829578 RMSE factor; recorded win0e4ce28ff046a7f3: 0.535143 candidate fit+predict seconds; 2.738267 RMSE factor; recorded win6051037b0820049d: 0.478375 candidate fit+predict seconds; 2.583546 RMSE factor; recorded winba0ade6cea200db7: 1.976146 candidate fit+predict seconds; 2.462806 RMSE factor; recorded win8fa6d3b101f15cef: 2.296636 candidate fit+predict seconds; 2.270885 RMSE factor; recorded wina7ca354386cfbc19: 0.530774 candidate fit+predict seconds; 2.253033 RMSE factor; recorded wincef3f85a73fbcf30: 9.360733 candidate fit+predict seconds; 2.173386 RMSE factor; recorded win760d95fc5918b277: 0.538467 candidate fit+predict seconds; 2.085590 RMSE factor; recorded win626a71d420d6299c: 2.046957 candidate fit+predict seconds; 2.031068 RMSE factor; recorded wineba042c56fdae36b: 0.455542 candidate fit+predict seconds; 2.029048 RMSE factor; recorded winf935ef1be332fa1f: 0.448191 candidate fit+predict seconds; 1.977087 RMSE factor; recorded win7a445e1b87747a58: 1.405333 candidate fit+predict seconds; 1.951632 RMSE factor; recorded winc51e5ef5977c0d0a: 0.871744 candidate fit+predict seconds; 1.950789 RMSE factor; recorded win2ed105e22374c139: 0.987047 candidate fit+predict seconds; 1.940334 RMSE factor; recorded winc6255866b66b1bd6: 1.494617 candidate fit+predict seconds; 1.850923 RMSE factor; recorded wincaf3e57a90f1a316: 3.181138 candidate fit+predict seconds; 1.771701 RMSE factor; recorded win7eca50d6ad206bd2: 0.489399 candidate fit+predict seconds; 1.738957 RMSE factor; recorded win18f4e263e23f54dd: 7.349524 candidate fit+predict seconds; 1.733022 RMSE factor; recorded win8d02af340d441be6: 3.743510 candidate fit+predict seconds; 1.731656 RMSE factor; recorded win720d7c78971fe394: 0.499646 candidate fit+predict seconds; 1.683055 RMSE factor; recorded winbae19bd72aa85b78: 1.411749 candidate fit+predict seconds; 1.678112 RMSE factor; recorded win6955ec6bddc33c52: 0.963990 candidate fit+predict seconds; 1.586185 RMSE factor; recorded win6991fa96a34bc316: 0.415567 candidate fit+predict seconds; 1.580519 RMSE factor; recorded winc690d228641d86af: 0.731205 candidate fit+predict seconds; 1.571055 RMSE factor; recorded win89f05f6294e0d947: 1.500292 candidate fit+predict seconds; 1.566348 RMSE factor; recorded win313a44578efc0e2e: 0.563802 candidate fit+predict seconds; 1.552036 RMSE factor; recorded win8b2769d8e5ea56c6: 1.492716 candidate fit+predict seconds; 1.524544 RMSE factor; recorded win5348ba224acbe092: 0.612932 candidate fit+predict seconds; 1.523519 RMSE factor; recorded win5edab99e48fa99dc: 7.846893 candidate fit+predict seconds; 1.452178 RMSE factor; recorded win6c1245eb0394308b: 1.455988 candidate fit+predict seconds; 1.450943 RMSE factor; recorded win5eccd54ab82154e0: 0.546171 candidate fit+predict seconds; 1.444267 RMSE factor; recorded winf2c128e7f8ce0e55: 1.192548 candidate fit+predict seconds; 1.421908 RMSE factor; recorded winb35941128e4c4c86: 0.521822 candidate fit+predict seconds; 1.412075 RMSE factor; recorded wine1c1db5260d0894e: 0.710364 candidate fit+predict seconds; 1.400582 RMSE factor; recorded win2d675c206b1b74cd: 0.808540 candidate fit+predict seconds; 1.374736 RMSE factor; recorded wincc30813c821d48ad: 1.740179 candidate fit+predict seconds; 1.348680 RMSE factor; recorded winb32b1ef94f6fae09: 0.483764 candidate fit+predict seconds; 1.341421 RMSE factor; recorded win2c8e39ed043f5a57: 1.429891 candidate fit+predict seconds; 1.334695 RMSE factor; recorded win49e4ae19d7408222: 0.840900 candidate fit+predict seconds; 1.332265 RMSE factor; recorded win6311eaae7090994e: 0.573828 candidate fit+predict seconds; 1.327214 RMSE factor; recorded winb472a56644c4762e: 1.776825 candidate fit+predict seconds; 1.317369 RMSE factor; recorded win66472ed8d0c90837: 0.813493 candidate fit+predict seconds; 1.307206 RMSE factor; recorded winb2f5383b923e59e1: 0.461540 candidate fit+predict seconds; 1.290790 RMSE factor; recorded win472c9ce9e328f889: 1.769542 candidate fit+predict seconds; 1.281865 RMSE factor; recorded win29f57b7c11b54407: 0.723527 candidate fit+predict seconds; 1.278734 RMSE factor; recorded windab23fb4d30d7e82: 0.786393 candidate fit+predict seconds; 1.272974 RMSE factor; recorded win223c7f2bdbe8e390: 0.941539 candidate fit+predict seconds; 1.249320 RMSE factor; recorded wind8226392841f6dff: 0.503061 candidate fit+predict seconds; 1.244111 RMSE factor; recorded win656dbe9cb6b5745c: 0.980340 candidate fit+predict seconds; 1.239184 RMSE factor; recorded win54bce134c0b1744b: 0.436394 candidate fit+predict seconds; 1.238375 RMSE factor; recorded wine8e2e553fbeb8b57: 0.629499 candidate fit+predict seconds; 1.236681 RMSE factor; recorded winbecb5ed8d5a73397: 0.921613 candidate fit+predict seconds; 1.236395 RMSE factor; recorded win8dc5b8d128a34f6d: 0.584747 candidate fit+predict seconds; 1.236038 RMSE factor; recorded winaf8b792b0e1c0a0c: 4.632998 candidate fit+predict seconds; 1.230054 RMSE factor; recorded wincd809e79c79512d2: 1.180239 candidate fit+predict seconds; 1.228262 RMSE factor; recorded winb9f6458238c5c10f: 0.729727 candidate fit+predict seconds; 1.226741 RMSE factor; recorded win95b5660335a5a4be: 0.631797 candidate fit+predict seconds; 1.217219 RMSE factor; recorded win0d78633bdc19d73d: 0.439852 candidate fit+predict seconds; 1.208162 RMSE factor; recorded wind216d67469e1a2f2: 0.447219 candidate fit+predict seconds; 1.206727 RMSE factor; recorded win56646b5099a60e11: 0.896812 candidate fit+predict seconds; 1.205233 RMSE factor; recorded win93376e350b4176dd: 1.393296 candidate fit+predict seconds; 1.198853 RMSE factor; recorded winbe1bcba927f1a00f: 0.570666 candidate fit+predict seconds; 1.192811 RMSE factor; recorded win045d4e654a5bb305: 0.863534 candidate fit+predict seconds; 1.192567 RMSE factor; recorded winf372b3555f98c8e5: 0.520993 candidate fit+predict seconds; 1.191877 RMSE factor; recorded win944f0fa926232db9: 0.724147 candidate fit+predict seconds; 1.190474 RMSE factor; recorded winc22984a0185b1c40: 0.934050 candidate fit+predict seconds; 1.188972 RMSE factor; recorded win0d34d5fb33bdef50: 1.432980 candidate fit+predict seconds; 1.184178 RMSE factor; recorded win9824f279fe9623c7: 0.624290 candidate fit+predict seconds; 1.176850 RMSE factor; recorded winbcad3535b67c8a1e: 0.664216 candidate fit+predict seconds; 1.176118 RMSE factor; recorded win82aa997fb8a9cd5d: 0.498706 candidate fit+predict seconds; 1.175247 RMSE factor; recorded win12e43ac7ac742489: 3.042382 candidate fit+predict seconds; 1.172103 RMSE factor; recorded win8005bf9ddfdd0304: 3.864211 candidate fit+predict seconds; 1.171674 RMSE factor; recorded windf89d7fcaa058336: 0.775682 candidate fit+predict seconds; 1.169528 RMSE factor; recorded win84a09209a7a55970: 0.527709 candidate fit+predict seconds; 1.166032 RMSE factor; recorded win8861737a6a5f752a: 31.615014 candidate fit+predict seconds; 1.166004 RMSE factor; recorded win063f91bc78921226: 0.485104 candidate fit+predict seconds; 1.161726 RMSE factor; recorded win8eb80c5310312879: 0.518471 candidate fit+predict seconds; 1.161567 RMSE factor; recorded wina5387edacd3f7204: 0.854327 candidate fit+predict seconds; 1.159386 RMSE factor; recorded win7252984253ce5b3f: 0.558673 candidate fit+predict seconds; 1.146896 RMSE factor; recorded win1bd1fef15e156d96: 2.130150 candidate fit+predict seconds; 1.145185 RMSE factor; recorded win58af2a211f9648cc: 0.556808 candidate fit+predict seconds; 1.140265 RMSE factor; recorded winb5801a429c1b8429: 0.500401 candidate fit+predict seconds; 1.140032 RMSE factor; recorded winb253fbfae8460dc1: 0.773016 candidate fit+predict seconds; 1.137212 RMSE factor; recorded win53a15e2baa19ff81: 0.568027 candidate fit+predict seconds; 1.133555 RMSE factor; recorded win0cc7d6d0044d553f: 0.503875 candidate fit+predict seconds; 1.133176 RMSE factor; recorded win85f619793c620da2: 0.827559 candidate fit+predict seconds; 1.131514 RMSE factor; recorded win91ff597dfcd8e27e: 0.472108 candidate fit+predict seconds; 1.130476 RMSE factor; recorded wine415f6a9b7845c66: 0.924743 candidate fit+predict seconds; 1.122127 RMSE factor; recorded win398e366e47c3fc41: 0.493471 candidate fit+predict seconds; 1.121317 RMSE factor; recorded win3296e573e148f065: 0.565812 candidate fit+predict seconds; 1.117848 RMSE factor; recorded win5e926fcd0b90ef5c: 0.752359 candidate fit+predict seconds; 1.116530 RMSE factor; recorded wina7736148457c7d50: 2.295086 candidate fit+predict seconds; 1.116285 RMSE factor; recorded win83f1323501655265: 0.421940 candidate fit+predict seconds; 1.116194 RMSE factor; recorded win1132abec17e20721: 1.009633 candidate fit+predict seconds; 1.114772 RMSE factor; recorded win6e14f7f5c0bceb4f: 0.716657 candidate fit+predict seconds; 1.113581 RMSE factor; recorded win4b021af45419ce04: 0.829243 candidate fit+predict seconds; 1.113115 RMSE factor; recorded win56476b3f94282c12: 0.453582 candidate fit+predict seconds; 1.113062 RMSE factor; recorded windb5c0edafc109fa3: 1.070566 candidate fit+predict seconds; 1.109478 RMSE factor; recorded win5eb86f38c2763259: 0.573714 candidate fit+predict seconds; 1.108300 RMSE factor; recorded wineb5a7c08a54c0f05: 0.844367 candidate fit+predict seconds; 1.107370 RMSE factor; recorded win7f7abffbc7ec6e2d: 0.426033 candidate fit+predict seconds; 1.105942 RMSE factor; recorded win02683ae98254d34e: 0.470637 candidate fit+predict seconds; 1.104884 RMSE factor; recorded wine3a3632d477a30cc: 0.884342 candidate fit+predict seconds; 1.104655 RMSE factor; recorded win29471a34758b9ea0: 1.546851 candidate fit+predict seconds; 1.104472 RMSE factor; recorded win779bdf4eb5cbe898: 1.390627 candidate fit+predict seconds; 1.103818 RMSE factor; recorded win52d3452c98b67d7b: 2.861933 candidate fit+predict seconds; 1.102790 RMSE factor; recorded wina57280a17a31151c: 0.816637 candidate fit+predict seconds; 1.101812 RMSE factor; recorded win123d344c42aa6617: 0.438684 candidate fit+predict seconds; 1.101713 RMSE factor; recorded win2fc05294a7f8c449: 0.474499 candidate fit+predict seconds; 1.097960 RMSE factor; recorded win08ed3adcdcc2749d: 0.550481 candidate fit+predict seconds; 1.097821 RMSE factor; recorded wina874e73b2a8ba301: 0.632839 candidate fit+predict seconds; 1.096527 RMSE factor; recorded win9ee86bfe99b4d84b: 0.426722 candidate fit+predict seconds; 1.088989 RMSE factor; recorded win409878238d62efde: 0.465971 candidate fit+predict seconds; 1.088718 RMSE factor; recorded win7027ea6aeba3cccb: 1.339308 candidate fit+predict seconds; 1.085655 RMSE factor; recorded winc5f9cbfb137a431c: 0.554947 candidate fit+predict seconds; 1.084976 RMSE factor; recorded win0ed3be90e467d999: 1.440407 candidate fit+predict seconds; 1.083903 RMSE factor; recorded win73d859974a1a70d3: 0.708154 candidate fit+predict seconds; 1.083443 RMSE factor; recorded winf624c9969e421732: 0.445826 candidate fit+predict seconds; 1.079850 RMSE factor; recorded win75ad984fb960577a: 0.425978 candidate fit+predict seconds; 1.079131 RMSE factor; recorded win884f1a7e53c95cd6: 1.032199 candidate fit+predict seconds; 1.077436 RMSE factor; recorded win63b12f4e0005d378: 0.509492 candidate fit+predict seconds; 1.077063 RMSE factor; recorded win4f2f78e585eb0268: 0.486690 candidate fit+predict seconds; 1.076604 RMSE factor; recorded winf133b4b7a21bf02d: 1.295304 candidate fit+predict seconds; 1.074532 RMSE factor; recorded win99acfa47319db2e0: 0.526674 candidate fit+predict seconds; 1.072918 RMSE factor; recorded winfa57b568c5a54323: 1.006253 candidate fit+predict seconds; 1.072322 RMSE factor; recorded winfcabd669d54b160d: 1.723666 candidate fit+predict seconds; 1.071238 RMSE factor; recorded win7907a87ef40c9609: 1.338867 candidate fit+predict seconds; 1.070834 RMSE factor; recorded wind1f4f39c66223260: 1.067958 candidate fit+predict seconds; 1.070799 RMSE factor; recorded win95ef17099a05820d: 2.439931 candidate fit+predict seconds; 1.070281 RMSE factor; recorded wina2bc236f8ec6e8de: 1.199099 candidate fit+predict seconds; 1.069774 RMSE factor; recorded win33fc520b81b6e6b0: 0.407690 candidate fit+predict seconds; 1.068036 RMSE factor; recorded win0faba9040a185fdb: 0.600996 candidate fit+predict seconds; 1.067469 RMSE factor; recorded wind4050caebb84f36d: 0.738747 candidate fit+predict seconds; 1.067027 RMSE factor; recorded windf34308eed0f2447: 0.401974 candidate fit+predict seconds; 1.066602 RMSE factor; recorded win562f73f02f50e70f: 2.040700 candidate fit+predict seconds; 1.066345 RMSE factor; recorded win270e6e0261e078ff: 2.938765 candidate fit+predict seconds; 1.066159 RMSE factor; recorded win52316bd78c1523e1: 6.534101 candidate fit+predict seconds; 1.066063 RMSE factor; recorded winfa02936a3e8d1763: 0.517462 candidate fit+predict seconds; 1.064936 RMSE factor; recorded win766ddf1130865897: 0.463091 candidate fit+predict seconds; 1.061861 RMSE factor; recorded winfc86fac9a89991db: 1.425512 candidate fit+predict seconds; 1.059996 RMSE factor; recorded wind2df90b7a95ed21b: 0.436335 candidate fit+predict seconds; 1.059686 RMSE factor; recorded winab7624a4eb2c9bcf: 0.593188 candidate fit+predict seconds; 1.059020 RMSE factor; recorded win24276fb243f40e01: 0.861102 candidate fit+predict seconds; 1.056970 RMSE factor; recorded wincd5a6ad45ffa3883: 0.501163 candidate fit+predict seconds; 1.055552 RMSE factor; recorded win710f6b1131b39840: 0.421726 candidate fit+predict seconds; 1.054823 RMSE factor; recorded win17a4542ee4fb9e44: 0.560475 candidate fit+predict seconds; 1.054007 RMSE factor; recorded winbe4a6b5cc2d34f27: 8.612220 candidate fit+predict seconds; 1.052710 RMSE factor; recorded win27ac13d081671edd: 0.503998 candidate fit+predict seconds; 1.052268 RMSE factor; recorded winbcadad6b124ac3b1: 1.541180 candidate fit+predict seconds; 1.050574 RMSE factor; recorded win5ddabe6777ff2d60: 0.529123 candidate fit+predict seconds; 1.050417 RMSE factor; recorded win5e06eed2b0143f98: 0.671406 candidate fit+predict seconds; 1.050380 RMSE factor; recorded win604881dacb803e6e: 0.476527 candidate fit+predict seconds; 1.049940 RMSE factor; recorded wina392eebf8a7dd572: 0.470287 candidate fit+predict seconds; 1.049883 RMSE factor; recorded wind6e04d5d746833c1: 20.570407 candidate fit+predict seconds; 1.049547 RMSE factor; recorded win728a04634fcd08b4: 0.544686 candidate fit+predict seconds; 1.049497 RMSE factor; recorded win107bb74eb68f0be1: 0.906260 candidate fit+predict seconds; 1.048250 RMSE factor; recorded wina5fbfa103d5e2adf: 0.773353 candidate fit+predict seconds; 1.047244 RMSE factor; recorded win4bbfe8d4748dbe7f: 0.480479 candidate fit+predict seconds; 1.046647 RMSE factor; recorded winc01e018b015583e6: 0.518857 candidate fit+predict seconds; 1.046159 RMSE factor; recorded wine226eb40874c6c66: 0.434718 candidate fit+predict seconds; 1.045704 RMSE factor; recorded win59f72dd48aed1651: 0.719394 candidate fit+predict seconds; 1.045161 RMSE factor; recorded win9cdcf68600af89bc: 0.613661 candidate fit+predict seconds; 1.045151 RMSE factor; recorded wina65b2c0438d6a4d8: 0.371614 candidate fit+predict seconds; 1.045023 RMSE factor; recorded winf15cbe53f77912f5: 0.917429 candidate fit+predict seconds; 1.044710 RMSE factor; recorded win5fe25055344e2c1a: 1.147771 candidate fit+predict seconds; 1.044526 RMSE factor; recorded wince71abd01a18bbf2: 0.785155 candidate fit+predict seconds; 1.044349 RMSE factor; recorded win307963deed8ebe73: 0.486166 candidate fit+predict seconds; 1.044237 RMSE factor; recorded win0817487e4bbe20f3: 1.084413 candidate fit+predict seconds; 1.044051 RMSE factor; recorded win2c1871285608f975: 0.834752 candidate fit+predict seconds; 1.043780 RMSE factor; recorded win7ad5208034b87279: 0.725431 candidate fit+predict seconds; 1.043298 RMSE factor; recorded win062e1845b6933f87: 1.366454 candidate fit+predict seconds; 1.042202 RMSE factor; recorded winbba7e629c412b8cd: 0.869071 candidate fit+predict seconds; 1.040291 RMSE factor; recorded wind5bfe1c0258c35be: 0.463954 candidate fit+predict seconds; 1.040279 RMSE factor; recorded wind94eced2cb968d54: 1.222197 candidate fit+predict seconds; 1.040013 RMSE factor; recorded win9ccb77099a88afaf: 0.493273 candidate fit+predict seconds; 1.039833 RMSE factor; recorded winbd86066ea22b7dc5: 0.471928 candidate fit+predict seconds; 1.038992 RMSE factor; recorded win219610e1c37b61a2: 0.473721 candidate fit+predict seconds; 1.038875 RMSE factor; recorded win94198d06b9fee8e6: 1.287082 candidate fit+predict seconds; 1.038532 RMSE factor; recorded win060b9fff8092db17: 0.549339 candidate fit+predict seconds; 1.038210 RMSE factor; recorded win2c783ea8071b3ae9: 0.697082 candidate fit+predict seconds; 1.037800 RMSE factor; recorded winb3b06d627c908779: 0.614127 candidate fit+predict seconds; 1.037714 RMSE factor; recorded win1c6bdd99e5f3dbf7: 0.376873 candidate fit+predict seconds; 1.037570 RMSE factor; recorded winc218bf7ff8783fd7: 0.539397 candidate fit+predict seconds; 1.037412 RMSE factor; recorded win433e77d06d7376db: 0.427437 candidate fit+predict seconds; 1.037268 RMSE factor; recorded win9e6189205082b5f2: 0.829294 candidate fit+predict seconds; 1.035978 RMSE factor; recorded win4f118539d1a4c08c: 0.423474 candidate fit+predict seconds; 1.035420 RMSE factor; recorded win76065dcf65371a9f: 0.462318 candidate fit+predict seconds; 1.035178 RMSE factor; recorded win5ad5ecfc9a4d42b2: 0.502981 candidate fit+predict seconds; 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0.990270 RMSE factor; recorded loss8a06c9a2336c0e8d: 0.563432 candidate fit+predict seconds; 0.990250 RMSE factor; recorded lossfc8d203c2a21a0dc: 0.759702 candidate fit+predict seconds; 0.990204 RMSE factor; recorded loss43f3f5bec55eeb3d: 0.873180 candidate fit+predict seconds; 0.990135 RMSE factor; recorded loss9fb18f0ea9bce6ac: 0.503938 candidate fit+predict seconds; 0.990078 RMSE factor; recorded lossf7e6abfacdac77c4: 1.281337 candidate fit+predict seconds; 0.990002 RMSE factor; recorded lossa2a104a14bfd1a00: 0.667807 candidate fit+predict seconds; 0.989472 RMSE factor; recorded lossd09e225017016aef: 2.864275 candidate fit+predict seconds; 0.989440 RMSE factor; recorded lossb6494e6a39f9f14e: 0.793080 candidate fit+predict seconds; 0.989433 RMSE factor; recorded lossfc34c3c59048350b: 1.387736 candidate fit+predict seconds; 0.989376 RMSE factor; recorded lossdbba8dc17a01dd3d: 1.004144 candidate fit+predict seconds; 0.989297 RMSE factor; recorded lossc8228987ab550f54: 0.769869 candidate fit+predict seconds; 0.989269 RMSE factor; recorded loss54dc398caa0dfd6c: 0.509328 candidate fit+predict seconds; 0.989227 RMSE factor; recorded loss43be6f188f12e802: 0.430658 candidate fit+predict seconds; 0.988973 RMSE factor; recorded loss09371bf7545f91ed: 0.896558 candidate fit+predict seconds; 0.988910 RMSE factor; recorded lossbc4e03d08de41c91: 0.771494 candidate fit+predict seconds; 0.988806 RMSE factor; recorded lossb4e24d9912d55b9d: 1.538360 candidate fit+predict seconds; 0.988740 RMSE factor; recorded lossaf950021109230c6: 0.419204 candidate fit+predict seconds; 0.988703 RMSE factor; recorded loss9b7f3224d28a6c1b: 0.842578 candidate fit+predict seconds; 0.988615 RMSE factor; recorded loss906b2ff854959978: 1.288478 candidate fit+predict seconds; 0.988598 RMSE factor; recorded loss74eea9731dd64d73: 1.485337 candidate fit+predict seconds; 0.988528 RMSE factor; recorded loss12df0ba9c0540f2c: 0.460750 candidate fit+predict seconds; 0.988297 RMSE factor; recorded loss8f12270b0091a972: 0.994955 candidate fit+predict seconds; 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0.986391 RMSE factor; recorded losse50d58be89e82b5d: 0.836303 candidate fit+predict seconds; 0.986068 RMSE factor; recorded lossd9217a9624e60d89: 0.431404 candidate fit+predict seconds; 0.985856 RMSE factor; recorded loss783e48e2c417678c: 1.005092 candidate fit+predict seconds; 0.985771 RMSE factor; recorded lossc3cdd4f5c6ba5965: 0.508013 candidate fit+predict seconds; 0.985638 RMSE factor; recorded loss7901a12434f33e03: 0.952527 candidate fit+predict seconds; 0.985560 RMSE factor; recorded loss303d3229455f3a99: 1.343319 candidate fit+predict seconds; 0.985502 RMSE factor; recorded loss87147f1b03db0462: 0.484265 candidate fit+predict seconds; 0.985491 RMSE factor; recorded lossd18b593724e4c66e: 0.357223 candidate fit+predict seconds; 0.985411 RMSE factor; recorded loss83d6781d7de8238b: 1.034765 candidate fit+predict seconds; 0.985403 RMSE factor; recorded loss3e81ba4daa4aa355: 1.770391 candidate fit+predict seconds; 0.985285 RMSE factor; recorded loss987b8669a049d482: 0.633587 candidate fit+predict seconds; 0.985222 RMSE factor; recorded loss321df990cc411274: 1.306405 candidate fit+predict seconds; 0.985114 RMSE factor; recorded lossd6004163122a03bc: 4.032625 candidate fit+predict seconds; 0.984988 RMSE factor; recorded loss5efc4de4dd9f41fe: 0.517054 candidate fit+predict seconds; 0.984801 RMSE factor; recorded lossb625c8a6b7fc62a8: 0.464739 candidate fit+predict seconds; 0.984800 RMSE factor; recorded lossb1ee03b1e7a8240f: 0.449604 candidate fit+predict seconds; 0.984764 RMSE factor; recorded loss38350f8d1062a305: 0.468398 candidate fit+predict seconds; 0.984596 RMSE factor; recorded loss92b8caea90d27b46: 0.475725 candidate fit+predict seconds; 0.984519 RMSE factor; recorded loss71bb27c957ccb8b7: 0.674632 candidate fit+predict seconds; 0.984486 RMSE factor; recorded loss8b71bb6732f8bd3f: 0.353047 candidate fit+predict seconds; 0.984443 RMSE factor; recorded loss89fedc121efe7a57: 2.038380 candidate fit+predict seconds; 0.984384 RMSE factor; recorded loss8ecd71e46c8674fc: 0.472344 candidate fit+predict seconds; 0.984257 RMSE factor; recorded lossfbf28fb791de77b0: 0.599750 candidate fit+predict seconds; 0.984195 RMSE factor; recorded loss0cf32f292174850f: 1.683849 candidate fit+predict seconds; 0.984130 RMSE factor; recorded losse0eb0e8316aec6e0: 1.197677 candidate fit+predict seconds; 0.984050 RMSE factor; recorded loss55f825e2764bfdf4: 0.846023 candidate fit+predict seconds; 0.983938 RMSE factor; recorded loss6be5cdae1dca644c: 0.370372 candidate fit+predict seconds; 0.983805 RMSE factor; recorded loss7c3979bda8171218: 1.392029 candidate fit+predict seconds; 0.983595 RMSE factor; recorded lossc86fad79005d7fc7: 1.055575 candidate fit+predict seconds; 0.983579 RMSE factor; recorded loss6edd9bb7fb7219dd: 1.452974 candidate fit+predict seconds; 0.983553 RMSE factor; recorded loss77d638cc61d1063d: 0.441731 candidate fit+predict seconds; 0.983361 RMSE factor; recorded loss623b14ff9f0f3d3b: 0.546573 candidate fit+predict seconds; 0.983307 RMSE factor; recorded loss3fe009cea7e9c8a5: 0.970522 candidate fit+predict seconds; 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0.980785 RMSE factor; recorded loss6fea9585bd5db5fe: 0.468263 candidate fit+predict seconds; 0.980606 RMSE factor; recorded loss8fb0b4677312f008: 1.368038 candidate fit+predict seconds; 0.980120 RMSE factor; recorded loss555718155f3f3a75: 0.434463 candidate fit+predict seconds; 0.980069 RMSE factor; recorded lossc9221b3ffe272c47: 0.504438 candidate fit+predict seconds; 0.980056 RMSE factor; recorded lossb6ec19001ed76d56: 1.218667 candidate fit+predict seconds; 0.980036 RMSE factor; recorded losseda95cdc966689a0: 3.138858 candidate fit+predict seconds; 0.979875 RMSE factor; recorded lossdee1fc8e9afd81c9: 0.440239 candidate fit+predict seconds; 0.979833 RMSE factor; recorded lossb603824ee4b8fa27: 0.573455 candidate fit+predict seconds; 0.979823 RMSE factor; recorded loss98ccbb754b81f71a: 0.576828 candidate fit+predict seconds; 0.979805 RMSE factor; recorded lossf8ebcb0672f7c68a: 0.789005 candidate fit+predict seconds; 0.979462 RMSE factor; recorded lossf784ec44b4be2155: 0.467723 candidate fit+predict seconds; 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0.978196 RMSE factor; recorded lossda128a8ca7a63ac2: 0.625519 candidate fit+predict seconds; 0.978034 RMSE factor; recorded loss60938e3c23d15ff3: 1.486201 candidate fit+predict seconds; 0.977969 RMSE factor; recorded loss374e39e86bad95e7: 0.575513 candidate fit+predict seconds; 0.977925 RMSE factor; recorded loss527f5e1c3965712f: 9.027644 candidate fit+predict seconds; 0.977755 RMSE factor; recorded loss71d2932d2407a6bf: 0.949759 candidate fit+predict seconds; 0.977618 RMSE factor; recorded loss7ee72bb0fe453a6f: 0.458181 candidate fit+predict seconds; 0.977615 RMSE factor; recorded loss6c7011aa6d9069f1: 0.479933 candidate fit+predict seconds; 0.977578 RMSE factor; recorded loss2a919e8c971db1eb: 2.334938 candidate fit+predict seconds; 0.977464 RMSE factor; recorded loss5203cb7a605bd349: 0.571155 candidate fit+predict seconds; 0.977457 RMSE factor; recorded loss8a5971f498b657cd: 0.468318 candidate fit+predict seconds; 0.977441 RMSE factor; recorded lossedfd3bbc47a267d3: 0.579371 candidate fit+predict seconds; 0.977209 RMSE factor; recorded loss5b3e8ece3ea63fc5: 19.813206 candidate fit+predict seconds; 0.977027 RMSE factor; recorded loss72267ce726fc896b: 1.770645 candidate fit+predict seconds; 0.976835 RMSE factor; recorded loss79c16e03a27df993: 0.434310 candidate fit+predict seconds; 0.976820 RMSE factor; recorded loss2864d2a432be587c: 0.531832 candidate fit+predict seconds; 0.976811 RMSE factor; recorded lossf23f1d792e62a60d: 0.686430 candidate fit+predict seconds; 0.976784 RMSE factor; recorded losse7c38c954a3bd6a5: 15.859290 candidate fit+predict seconds; 0.976685 RMSE factor; recorded loss1674565826a12d26: 0.461914 candidate fit+predict seconds; 0.976538 RMSE factor; recorded loss49eb9093b61a7555: 1.438311 candidate fit+predict seconds; 0.976015 RMSE factor; recorded loss84e307f5c421b511: 0.511173 candidate fit+predict seconds; 0.975726 RMSE factor; recorded loss
228 winning workflows ≤ 20s · median winning fit+predict 0.706549s · 12 wins ≥ 10× lower RMSESource: every row in atlas_analysis.json. Foundation comparator wall-clock was not receipted; no training-speedup claim is made.

Focal algorithmic moves

Exact programs, exact clocks, and all four comparisons.

CPU and greenhouse are the sub-twenty-second workflow stories. Spectrometer is the quality outlier. Each is post-hoc and descriptive; 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
TabFM Ensemble0.01362337180.00265388385.13×win
TabFM0.01767330520.00265388386.66×win
TabPFN-v30.03008721250.002653883811.34×win
TabPFN-v3 Default0.02972185050.002653883811.20×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
TabFM Ensemble0.02332562260.00500442624.66×win
TabFM0.01701911980.00500442623.40×win
TabPFN-v30.02516620770.00500442625.03×win
TabPFN-v3 Default0.02528679690.00500442625.05×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
TabFM Ensemble0.01183941200.00000270684373.89×win
TabFM0.01471040160.00000270685434.54×win
TabPFN-v30.01226373610.00000270684530.65×win
TabPFN-v3 Default0.01224753040.00000270684524.67×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 released 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
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win1450ed3be90e467d999openml-sonar-40-target-attribute-38.csv173 / 3560GPRblom, cheb, pair_prod, sigmoid1.440407s18.243117s1.0839×0.073267900.07941530
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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
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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
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win2754789f76192a400c4rdatasets-fpp2-elecequip-value.csv162 / 331GPRnone recorded0.853796s20.439050s1.0127×0.140253680.14203634
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win277980b8a55787b291frdatasets-count-medpar-provnum.csv1000 / 4959kernel smoothhinge, sigmoid0.619148s20.422476s1.0125×0.120085060.12158409
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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
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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
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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
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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
win322a82070b758fcaa5crdatasets-fpp2-qgas-value.csv181 / 371elastic netpoly_interact, quantile_bins, robust_scale, sigmoid, winsor_clip0.453007s13.056860s1.0028×0.059096640.05926181
win32348311e88a8337b5efri-c1-500-5.csv416 / 845GPRnone recorded1.407207s21.202698s1.0028×0.032552240.03264236
win324d9c86cf6f49b5f8cpakistan-hunger-data.csv416 / 847histogram GBDThistgbm2, winsor_clip0.672604s13.289903s1.0026×0.272957150.27366038
win32561afff27fc5c6456heart-failure-clinical-records.csv249 / 5012GPRnone recorded1.677530s20.082557s1.0024×0.114709030.11498991
win3264e13ef477a8a20d1rdatasets-histdata-galton-child.csv773 / 1551ridgepair_prod, rff_sin0.547078s21.123123s1.0023×0.186070980.18650422
win327fff4d8b655060d5frdatasets-cardata-cowles-neuroticism.csv1000 / 4213ridgeblom, quantile_bins, rank0.518479s10.900656s1.0023×0.200409800.20087198
win32883b83728da74162ardatasets-aer-cpssw9204-earnings.csv1000 / 9994elastic netblom, rand_proj, robust_scale, winsor_clip0.543219s14.011683s1.0021×0.125365580.12562369
win32999185eea972e77e8stylized-meta-album-plt-doc-mini.csv666 / 1341histogram GBDTblom, histgbm2, row_stats0.729606s9.397856s1.0020×0.302387950.30297799
win33024816795c25c0934openml-wine-187-target-total-phenols.csv148 / 3013GPRnone recorded0.809899s6.543315s1.0019×0.096475790.09666332
win331b438211e96e994bdrdatasets-mlmrev-scotssec-primary.csv1000 / 9995histogram GBDThinge, pair_prod, rand_proj0.729202s22.136755s1.0019×0.138671860.13893403
win3325c9637c9643c873bcps-85-wages.csv445 / 8910elastic netpair_prod, rank, robust_scale, sigmoid0.469013s10.984799s1.0017×0.129443920.12966480
win33338297ca200b83cebrdatasets-crimedatasets-homicides15-tbl-df-uid.csv1000 / 92213ridge-GCVhinge, pair_prod, rank, standardize1.048799s32.985206s1.0017×0.005663960.00567361
win3340ac99631b621cd3frdatasets-stevedata-china-peace-logotherodadiff1y.csv736 / 14811GPRnone recorded2.229265s17.547633s1.0016×0.078868550.07899470
win335141f73042d3972cbrdatasets-ecdat-mode-cost-car.csv377 / 768ridgebin_onehot, pair_prod, sigmoid, winsor_clip0.544199s18.618184s1.0014×0.153243760.15346476
win33649240a9df2ce2808meta-album-plt-vil-mini.csv1000 / 5201ridgecheb, oblique_hinge, pair_prod, quantile_bins, target_bin_encode0.641043s19.841645s1.0014×0.044061790.04412501
win3376faa6fc4e1480015visualizing-environmental.csv92 / 193ridgeblom, pair_prod, quantile_bins, rank, winsor_clip0.571797s3.675436s1.0013×0.190284270.19053912
win338217e07ce3890b29csklearn-load-diabetes-target.csv368 / 7410elastic netsigmoid0.332907s11.725090s1.0012×0.186680490.18691311
win339722412e69a2c10edrdatasets-lahman-salaries-salary.csv1000 / 9993ridgebin_onehot, pair_prod, sigmoid, standardize0.632822s14.400762s1.0012×0.106065370.10619200
win340867aee89ab7030b4timing-attack-dataset-15-micro-seconds-delay-2022-09-14.csv1000 / 100016histogram GBDTblom, fft_mag, histgbm2, pair_prod, robust_scale, winsor_clip0.846647s19.889386s1.0009×0.315123040.31542178
win341353aad8190ed7205rdatasets-reshape2-tips-total-bill.csv203 / 416elastic netstandardize0.341213s4.780774s1.0009×0.133871320.13399767
win342e81afe5cadb43837stylized-meta-album-brd-mini.csv666 / 1341GPRblom, quantile_bins, robust_scale1.578918s20.210431s1.0009×0.303548010.30383420
win343ee56a1015e344c11openml-fruitfly-199-target-sleep.csv104 / 214elastic netquantile_bins, row_stats, sigmoid0.405422s3.619264s1.0007×0.229490190.22964773
win344318938e031309675rdatasets-agridat-besag-endive-col.csv1000 / 9992elastic netoblique_hinge, quantile_bins, row_stats, sigmoid, winsor_clip0.613996s11.812437s1.0007×0.237799890.23795708
win345f39fd77545fccc61onlinenewspopularity.csv1000 / 100059GPRnone recorded5.107587s45.712588s1.0005×0.025430250.02544417
win346c3aa379217a0c877drug-reviews-druglib-com.csv1000 / 10003kernel smoothbin_onehot, poly_interact, quantile_bins, row_stats0.555901s14.246122s1.0005×0.295642900.29579064
win3473c3d6a58b9a325b6rdatasets-ecdat-star-rownames.csv1000 / 9998histogram GBDThistgbm2, rank, sigmoid, winsor_clip0.698368s15.023013s1.0004×0.285541500.28566493
win3481ee763c9679d9330rdatasets-oncodatasets-aipulmonarynodules-df-rating.csv148 / 301GPRnone recorded0.865195s3.675613s1.0004×0.241127490.24123164
win349faaa420e922e4128rdatasets-agridat-beall-webworms-col.csv1000 / 3006elastic netblom, hinge, pair_prod, row_stats0.490391s17.730137s1.0003×0.075906650.07593214
win3500f12f7f17b5ba81frdatasets-datasets-randu-x.csv333 / 672ridgeblom, winsor_clip0.476553s9.548275s1.0002×0.296183230.29625209
win3517e386e187affb6ccmeta-album-fng-extended.csv1000 / 10001histogram GBDTcheb, histgbm2, rff_cos, standardize2.010133s29.545259s1.0002×0.106215380.10623927
win352852d31d5d0472d11rdatasets-heplots-addhealth-rownames.csv1000 / 9993histogram GBDTblom, histgbm2, rand_proj, robust_scale, winsor_clip1.825141s17.751452s1.0002×0.294267980.29433127
win3535a283e4666ccb8d2stylized-meta-album-brd-extended.csv1000 / 10001histogram GBDThistgbm2, pair_prod, rand_proj, row_stats, sigmoid, target_bin_encode, winsor_clip0.869601s16.082748s1.0000×0.305149850.30515855
loss35457b5ccc54b511c6frdatasets-meddatasets-aids2-df-diag.csv1000 / 9996elastic nethinge, sigmoid, standardize0.410016s15.571608s1.0000×0.118563040.11856104
loss35524a5950f73f6bb75rdatasets-histdata-pollen-weight.csv1000 / 9994ridgerand_proj, sigmoid0.461365s10.775907s1.0000×0.045200210.04519820
loss3569be304b89dda5769rdatasets-crimedatasets-vehiclethefts-tbl-df-uid.csv1000 / 9995elastic netrand_proj, row_stats, sigmoid, winsor_clip0.465977s18.883881s1.0000×0.284544900.28453132
loss357209458005f97683erdatasets-wooldridge-apple-ecolbs.csv550 / 11016kernel smoothpair_prod, poly_interact, rank, rff_cos, sigmoid0.623350s26.024577s1.0000×0.096301190.09629650
loss35863fdc67ea755208bpadding-attack-dataset-openssl-1-1-1k-2021-07-23.csv1000 / 100011histogram GBDThistgbm2, pair_prod, sigmoid1.296963s18.756833s0.9999×0.315803390.31577509
loss3592c849cbf9c486bf0stylized-meta-album-spt-extended.csv1000 / 10001histogram GBDTbin_onehot, blom, histgbm2, pair_prod, row_stats0.780651s14.313616s0.9999×0.302505080.30247262
loss360adb9f2eaabc01eb9meta-album-plt-vil-micro.csv666 / 1341ridgeoblique_hinge, rff_sin, winsor_clip0.502011s19.298828s0.9998×0.059418170.05940884
loss3611582ce0faf2e0ce2timing-attack-dataset-25-micro-seconds-delay-2022-09-15.csv1000 / 100016ridgebin_onehot, blom, hinge, quantile_bins, row_stats, winsor_clip0.602732s15.472572s0.9997×0.312816460.31273181
loss36257a8b91abc66201frdatasets-count-azdrg112-los.csv1000 / 7983ridgepoly_interact, robust_scale, target, target_bin_encode0.616474s18.335925s0.9997×0.064905610.06488480
loss3632fda43c2f1251fa7rdatasets-experimentr-easton-attractiveness-score.csv604 / 1214kernel smoothrff_sin, row_stats, winsor_clip0.451287s11.152775s0.9996×0.199765000.19968999
loss364f35db5382c326cfesocrata-issued-construction-permits-3syk-w9eu-data-austintexas-target-number-of-floors.csv1000 / 99943GPRnone recorded1.516302s34.396540s0.9996×0.031650720.03163697
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loss4301c60dbe400e2d50brdatasets-bakeoff-challenges-data-technical.csv580 / 1164elastic nethinge, pair_prod, quantile_bins, rank, winsor_clip0.512305s17.016372s0.9951×0.222008790.22091673
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loss4361d0c0501a7b368afrdatasets-cardata-arrests-age.csv1000 / 9997elastic netbin_onehot, robust_scale, row_stats, sigmoid, target_bin_encode0.564555s18.555766s0.9944×0.155048870.15417925
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loss4435cdb21c8c54ca8d5openml-diabetes-37-target-insu.csv640 / 1288elastic netpoly_interact, sigmoid, standardize, winsor_clip0.401813s12.023009s0.9937×0.098820440.09820041
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loss4718a06c9a2336c0e8drdatasets-cardata-chile-statusquo.csv1000 / 9997elastic netblom, pair_prod, quantile_bins, winsor_clip0.563432s16.825869s0.9903×0.179451330.17770169
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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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