Add new figures and update manuscript title, abstract, and keywords

- Added new figures: H30_B29.png, H30_B34.png, H45_B29.png, H45_B34.png, H60_B34.png, H30_29.png, H30_34.png, H45_29.png, H45_34.png, H60_34.png, and updated MethodologyFlowChart.png. - Revised manuscript title to "Damage-aware surrogate optimization of buckling-delayed shear-link dampers with adaptive finite element validation." - Updated abstract to reflect changes in focus and methodology. - Modified keywords for improved relevance. - Enhanced figure descriptions and captions for clarity.
parent ea7fc294
...@@ -7,4 +7,4 @@ tw1,tw2,Exymax_tw1,Exymax_tw2,Eyymax_tf,TFMmax_tw1,TFMmax_tw2,TFMmax_frame ...@@ -7,4 +7,4 @@ tw1,tw2,Exymax_tw1,Exymax_tw2,Eyymax_tf,TFMmax_tw1,TFMmax_tw2,TFMmax_frame
18.64,13.8,0.024436,0.0814959,0.1546975,36.5113,106.3158,107.9247 18.64,13.8,0.024436,0.0814959,0.1546975,36.5113,106.3158,107.9247
13.46,20.99,0.053643,0.0293971,0.1016962,105.4959,49.82,83.5084 13.46,20.99,0.053643,0.0293971,0.1016962,105.4959,49.82,83.5084
8.58,8.88,0.0632531,0.1042515,0.130283,123.1308,165.6866,86.976 8.58,8.88,0.0632531,0.1042515,0.130283,123.1308,165.6866,86.976
12.66,14.7,0.0449044,0.0617909,0.1170024,88.4725,91.4326,88.0453 12.6,14.64,0.0450078,0.0615972,0.1161667,88.2463,91.1868,87.1722
...@@ -7,3 +7,4 @@ tw1,tw2,Exymax_tw1,Exymax_tw2,Eyymax_tf,TFMmax_tw1,TFMmax_tw2,TFMmax_frame ...@@ -7,3 +7,4 @@ tw1,tw2,Exymax_tw1,Exymax_tw2,Eyymax_tf,TFMmax_tw1,TFMmax_tw2,TFMmax_frame
18.64,13.8,0.0302939,0.1027169,0.1913927,44.3285,142.8628,125.6498 18.64,13.8,0.0302939,0.1027169,0.1913927,44.3285,142.8628,125.6498
13.46,20.99,0.0686057,0.033276,0.1173378,138.993,60.5905,89.5536 13.46,20.99,0.0686057,0.033276,0.1173378,138.993,60.5905,89.5536
8.58,8.88,0.1085222,0.1382075,0.1669545,146.7474,192.9294,94.6607 8.58,8.88,0.1085222,0.1382075,0.1669545,146.7474,192.9294,94.6607
15.69,20,0.0512725,0.0460312,0.141023,103.5087,73.2362,99.2099
tw1,tw2,Exymax_tw1,Exymax_tw2,Eyymax_tf,TFMmax_tw1,TFMmax_tw2,TFMmax_frame tw1,tw2,Exymax_tw1,Exymax_tw2,Eyymax_tf,TFMmax_tw1,TFMmax_tw2,TFMmax_frame
15.22,18.46,0.0392701,0.0444714,0.1191054,73.5564,63.4273,88.8872 15.22,18.46,0.0392701,0.0444714,0.1191054,73.5564,63.4273,88.8872
12.74,12.61,0.0401210,0.0783297,0.1249457,72.9956,112.404,93.3510 12.74,12.61,0.040121,0.0783297,0.1249457,72.9956,112.404,93.351
18.03,11.30,0.0227754,0.0992588,0.1671307,35.5244,145.9917,115.5385 18.03,11.3,0.0227754,0.0992588,0.1671307,35.5244,145.9917,115.5385
21.19,19.38,0.0201374,0.0506448,0.1515350,40.3906,70.2570,102.5168 21.19,19.38,0.0201374,0.0506448,0.151535,40.3906,70.257,102.5168
9.78,15.96,0.0710369,0.0433733,0.1167672,143.7781,74.3999,80.5918 9.78,15.96,0.0710369,0.0433733,0.1167672,143.7781,74.3999,80.5918
18.64,13.8,0.0244360,0.0814959,0.1546975,36.5113,106.3158,107.9247 18.64,13.8,0.024436,0.0814959,0.1546975,36.5113,106.3158,107.9247
13.46,20.99,0.0536430,0.0293971,0.1016962,105.4959,49.8200,83.5084 13.46,20.99,0.053643,0.0293971,0.1016962,105.4959,49.82,83.5084
8.58,8.88,0.0632531,0.1042515,0.1302830,123.1308,165.6866,86.9760 8.58,8.88,0.0632531,0.1042515,0.130283,123.1308,165.6866,86.976
12.34,14.34,0.0461157,0.0635088,0.1160707,90.9982,94.5993,87.6823 12.34,14.34,0.0461157,0.0635088,0.1160707,90.9982,94.5993,87.6823
12.68,14.91,0.0449853,0.0597997,0.115753,88.7433,88.8361,86.8080
...@@ -2,9 +2,10 @@ tw1,tw2,Exymax_tw1,Exymax_tw2,Eyymax_tf,TFMmax_tw1,TFMmax_tw2,TFMmax_frame ...@@ -2,9 +2,10 @@ tw1,tw2,Exymax_tw1,Exymax_tw2,Eyymax_tf,TFMmax_tw1,TFMmax_tw2,TFMmax_frame
15.22,18.46,0.0510256,0.0539798,0.1449565,100.9598,83.4741,99.2565 15.22,18.46,0.0510256,0.0539798,0.1449565,100.9598,83.4741,99.2565
12.74,12.61,0.0625263,0.0940645,0.1555176,93.4107,143.0323,105.1522 12.74,12.61,0.0625263,0.0940645,0.1555176,93.4107,143.0323,105.1522
18.03,11.3,0.0295755,0.1281388,0.2320882,41.7941,188.8763,133.5331 18.03,11.3,0.0295755,0.1281388,0.2320882,41.7941,188.8763,133.5331
21.19,19.38,0.0349424,0.0675929,0.1833217,50.9109,88.8950,118.7431 21.19,19.38,0.0349424,0.0675929,0.1833217,50.9109,88.895,118.7431
9.78,15.96,0.0989222,0.0506776,0.1337613,180.2326,82.7747,91.5803 9.78,15.96,0.0989222,0.0506776,0.1337613,180.2326,82.7747,91.5803
18.64,13.8,0.0302939,0.1027169,0.1913927,44.3285,142.8628,125.6498 18.64,13.8,0.0302939,0.1027169,0.1913927,44.3285,142.8628,125.6498
13.46,20.99,0.0686057,0.0332760,0.1173378,138.9930,60.5905,89.5536 13.46,20.99,0.0686057,0.033276,0.1173378,138.993,60.5905,89.5536
8.58,8.88,0.1085222,0.1382075,0.1669545,146.7474,192.9294,94.6607 8.58,8.88,0.1085222,0.1382075,0.1669545,146.7474,192.9294,94.6607
15.50,20.00,0.0521125,0.0454009,0.1396136,105.8219,72.7413,98.4961 15.5,20,0.0521125,0.0454009,0.1396136,105.8219,72.7413,98.4961
14.8,18.93,0.0537676,0.0493064,0.1387399,109.1427,78.7074,96.7782
...@@ -15,7 +15,7 @@ tw1,tw2,tw3,Exymax_tw1,Exymax_tw2,Exymax_tw3,Eyymax_tf,TFMmax_tw1,TFMmax_tw2,TFM ...@@ -15,7 +15,7 @@ tw1,tw2,tw3,Exymax_tw1,Exymax_tw2,Exymax_tw3,Eyymax_tf,TFMmax_tw1,TFMmax_tw2,TFM
7.07,15.26,4.16,0.0199412,0.030974,0.1744638,0.2911736,31.3565,37.3897,285.5494,166.6332 7.07,15.26,4.16,0.0199412,0.030974,0.1744638,0.2911736,31.3565,37.3897,285.5494,166.6332
11.94,14.8,15.93,0.0162564,0.0280608,0.0349907,0.0939799,25.3627,48.0349,62.0809,72.4997 11.94,14.8,15.93,0.0162564,0.0280608,0.0349907,0.0939799,25.3627,48.0349,62.0809,72.4997
9.81,12.65,4.96,0.0092622,0.0285342,0.1633582,0.2867144,11.1527,44.1879,260.5004,156.512 9.81,12.65,4.96,0.0092622,0.0285342,0.1633582,0.2867144,11.1527,44.1879,260.5004,156.512
5.52,8.47,9.33,0.0538202,0.0475062,0.0510451,0.098339,102.5485,83.3491,82.8637,67.9344 5.96,8.23,9.47,0.0463678,0.0464775,0.0513613,0.1005854,89.1983,85.2212,83.9612,68.0786
5.81,8.12,9.04,0.0474045,0.0462994,0.0542192,0.100775,91.138,85.5144,88.6423,69.5669 5.81,8.12,9.04,0.0474045,0.0462994,0.0542192,0.100775,91.138,85.5144,88.6423,69.5669
5.53,7.96,8.84,0.0514931,0.0484667,0.0543194,0.1001148,98.0415,88.6742,90.1816,68.8582 5.53,7.96,8.84,0.0514931,0.0484667,0.0543194,0.1001148,98.0415,88.6742,90.1816,68.8582
5.83,7.89,8.95,0.0465888,0.0478258,0.054548,0.1018059,89.3979,88.5887,90.4094,69.1392 5.83,7.89,8.95,0.0465888,0.0478258,0.054548,0.1018059,89.3979,88.5887,90.4094,69.1392
...@@ -15,6 +15,6 @@ tw1,tw2,tw3,Exymax_tw1,Exymax_tw2,Exymax_tw3,Eyymax_tf,TFMmax_tw1,TFMmax_tw2,TFM ...@@ -15,6 +15,6 @@ tw1,tw2,tw3,Exymax_tw1,Exymax_tw2,Exymax_tw3,Eyymax_tf,TFMmax_tw1,TFMmax_tw2,TFM
7.07,15.26,4.16,0.0205172,0.0282205,0.1826803,0.28507,40.8943,38.3046,285.025,149.7966 7.07,15.26,4.16,0.0205172,0.0282205,0.1826803,0.28507,40.8943,38.3046,285.025,149.7966
11.94,14.8,15.93,0.0239298,0.0817664,0.0338733,0.1028892,42.4723,87.8776,64.2093,69.8335 11.94,14.8,15.93,0.0239298,0.0817664,0.0338733,0.1028892,42.4723,87.8776,64.2093,69.8335
9.81,12.65,4.96,0.0089586,0.032101,0.1749998,0.3156683,13.1979,47.4165,266.644,147.5593 9.81,12.65,4.96,0.0089586,0.032101,0.1749998,0.3156683,13.1979,47.4165,266.644,147.5593
7.39,9.31,10.15,0.0379502,0.0469769,0.053119,0.0937488,79.7768,86.3154,87.0519,69.8441 7.34,9.28,10.13,0.0383401,0.0470196,0.0529832,0.0937131,80.7634,86.7811,87.0794,69.6596
6.88,9.05,9.83,0.0425174,0.0431259,0.0541058,0.0920949,89.8694,89.8644,88.4408,68.6215 6.88,9.05,9.83,0.0425174,0.0431259,0.0541058,0.0920949,89.8694,89.8644,88.4408,68.6215
6.83,9.03,9.71,0.0422012,0.0464421,0.0538225,0.092772,90.4471,89.198,89.9087,68.9794 6.83,9.03,9.71,0.0422012,0.0464421,0.0538225,0.092772,90.4471,89.198,89.9087,68.9794
tw1,tw2,tw3,Exymax_tw1,Exymax_tw2,Exymax_tw3,Eyymax_tf,TFMmax_tw1,TFMmax_tw2,TFMmax_tw3,TFMmax_frame tw1,tw2,tw3,Exymax_tw1,Exymax_tw2,Exymax_tw3,Eyymax_tf,TFMmax_tw1,TFMmax_tw2,TFMmax_tw3,TFMmax_frame
8.93,10.69,11.92,0.0246997,0.0417768,0.0464886,0.1013018,42.8515,55.8740,68.8582,72.3628 8.93,10.69,11.92,0.0246997,0.0417768,0.0464886,0.1013018,42.8515,55.874,68.8582,72.3628
14.65,7.11,11.38,0.0027074,0.0739921,0.0456774,0.1320175,3.2259,113.0944,74.3599,81.7340 14.65,7.11,11.38,0.0027074,0.0739921,0.0456774,0.1320175,3.2259,113.0944,74.3599,81.734
6.29,6.52,9.56,0.0400088,0.0663047,0.0487848,0.1169582,74.9831,119.2527,87.0856,69.9576 6.29,6.52,9.56,0.0400088,0.0663047,0.0487848,0.1169582,74.9831,119.2527,87.0856,69.9576
4.58,8.02,12.59,0.0837647,0.0655233,0.0305480,0.0898686,157.3271,109.3948,50.2318,58.5561 4.58,8.02,12.59,0.0837647,0.0655233,0.030548,0.0898686,157.3271,109.3948,50.2318,58.5561
10.95,6.12,10.09,0.0101290,0.0826896,0.0504054,0.1372914,11.6665,133.1484,87.2615,81.9530 10.95,6.12,10.09,0.010129,0.0826896,0.0504054,0.1372914,11.6665,133.1484,87.2615,81.953
13.03,8.96,14.90,0.0072895,0.0609930,0.0302428,0.1157139,8.0061,91.7049,50.4625,79.2896 13.03,8.96,14.9,0.0072895,0.060993,0.0302428,0.1157139,8.0061,91.7049,50.4625,79.2896
15.45,11.10,6.67,0.0024481,0.0291431,0.1215571,0.2017346,0.6759,50.1750,190.3621,126.9695 15.45,11.1,6.67,0.0024481,0.0291431,0.1215571,0.2017346,0.6759,50.175,190.3621,126.9695
14.25,13.56,5.60,0.0020784,0.0282992,0.1565546,0.2872795,1.0843,44.4171,247.7598,155.7495 14.25,13.56,5.6,0.0020784,0.0282992,0.1565546,0.2872795,1.0843,44.4171,247.7598,155.7495
5.22,14.05,8.76,0.0602599,0.0185185,0.0612920,0.1309323,125.8713,32.7268,111.9502,90.7167 5.22,14.05,8.76,0.0602599,0.0185185,0.061292,0.1309323,125.8713,32.7268,111.9502,90.7167
12.69,4.24,7.49,0.0093316,0.1332601,0.1120888,0.1370617,6.2487,206.6610,123.4632,79.5508 12.69,4.24,7.49,0.0093316,0.1332601,0.1120888,0.1370617,6.2487,206.661,123.4632,79.5508
7.82,9.84,14.42,0.0344974,0.0463493,0.0297139,0.0968073,64.2934,77.0343,49.7950,67.3378 7.82,9.84,14.42,0.0344974,0.0463493,0.0297139,0.0968073,64.2934,77.0343,49.795,67.3378
5.72,11.78,13.37,0.0586680,0.0349843,0.0311180,0.0795838,121.0071,55.9826,53.3913,57.7322 5.72,11.78,13.37,0.058668,0.0349843,0.031118,0.0795838,121.0071,55.9826,53.3913,57.7322
10.54,4.85,8.21,0.0178929,0.1071379,0.0903543,0.1374885,13.2657,171.3972,112.4605,79.8828 10.54,4.85,8.21,0.0178929,0.1071379,0.0903543,0.1374885,13.2657,171.3972,112.4605,79.8828
7.07,15.26,4.16,0.0199412,0.0309740,0.1744638,0.2911736,31.3565,37.3897,285.5494,166.6332 7.07,15.26,4.16,0.0199412,0.030974,0.1744638,0.2911736,31.3565,37.3897,285.5494,166.6332
11.94,14.80,15.93,0.0162564,0.0280608,0.0349907,0.0939799,25.3627,48.0349,62.0809,72.4997 11.94,14.8,15.93,0.0162564,0.0280608,0.0349907,0.0939799,25.3627,48.0349,62.0809,72.4997
9.81,12.65,4.96,0.0092622,0.0285342,0.1633582,0.2867144,11.1527,44.1879,260.5004,156.5120 9.81,12.65,4.96,0.0092622,0.0285342,0.1633582,0.2867144,11.1527,44.1879,260.5004,156.512
5.94,8.38,9.28,0.0463239,0.0448421,0.0532387,0.1007058,89.2364,82.0068,85.7161,69.8185 5.94,8.38,9.28,0.0463239,0.0448421,0.0532387,0.1007058,89.2364,82.0068,85.7161,69.8185
5.68,7.97,9.00,0.0493762,0.0478416,0.0536288,0.1003415,94.4223,88.5502,88.8948,68.5487 5.69,7.97,9.02,0.0492756,0.0478664,0.0534413,0.1004192,94.16882,88.57847,88.69432,68.470374
tw1,tw2,tw3,Exymax_tw1,Exymax_tw2,Exymax_tw3,Eyymax_tf,TFMmax_tw1,TFMmax_tw2,TFMmax_tw3,TFMmax_frame tw1,tw2,tw3,Exymax_tw1,Exymax_tw2,Exymax_tw3,Eyymax_tf,TFMmax_tw1,TFMmax_tw2,TFMmax_tw3,TFMmax_frame
8.93,10.69,11.92,0.0314285,0.0361880,0.0500572,0.0968860,60.3168,73.0743,75.1730,70.8353 8.93,10.69,11.92,0.0314285,0.036188,0.0500572,0.096886,60.3168,73.0743,75.173,70.8353
14.65,7.11,11.38,0.0041545,0.0770628,0.0446173,0.1298872,5.7242,140.3068,76.6369,85.1589 14.65,7.11,11.38,0.0041545,0.0770628,0.0446173,0.1298872,5.7242,140.3068,76.6369,85.1589
6.29,6.52,9.56,0.0425330,0.0678026,0.0470426,0.1058771,91.4702,145.2878,86.7668,68.0555 6.29,6.52,9.56,0.042533,0.0678026,0.0470426,0.1058771,91.4702,145.2878,86.7668,68.0555
4.58,8.02,12.59,0.1047867,0.0870891,0.0314758,0.0834590,202.6256,124.2751,48.3992,57.2506 4.58,8.02,12.59,0.1047867,0.0870891,0.0314758,0.083459,202.6256,124.2751,48.3992,57.2506
10.95,6.12,10.09,0.0169834,0.0839863,0.0570973,0.1329752,18.5951,160.5635,88.2842,83.5555 10.95,6.12,10.09,0.0169834,0.0839863,0.0570973,0.1329752,18.5951,160.5635,88.2842,83.5555
13.03,8.96,14.90,0.0109994,0.0652393,0.0298515,0.1160830,14.5435,117.7404,55.5012,82.8776 13.03,8.96,14.9,0.0109994,0.0652393,0.0298515,0.116083,14.5435,117.7404,55.5012,82.8776
15.45,11.10,6.67,0.0018370,0.0306984,0.1385195,0.2498688,1.1291,55.9504,197.4358,125.0097 15.45,11.1,6.67,0.001837,0.0306984,0.1385195,0.2498688,1.1291,55.9504,197.4358,125.0097
14.25,13.56,5.60,0.0018503,0.0320090,0.1733572,0.3333523,0.8401,48.5556,257.8822,152.0872 14.25,13.56,5.6,0.0018503,0.032009,0.1733572,0.3333523,0.8401,48.5556,257.8822,152.0872
5.22,14.05,8.76,0.0767186,0.0184562,0.0625321,0.1078929,170.6635,33.4413,105.7267,80.4824 5.22,14.05,8.76,0.0767186,0.0184562,0.0625321,0.1078929,170.6635,33.4413,105.7267,80.4824
12.69,4.24,7.49,0.0087924,0.1325386,0.1181118,0.1384105,9.2216,229.5643,119.7812,81.6469 12.69,4.24,7.49,0.0087924,0.1325386,0.1181118,0.1384105,9.2216,229.5643,119.7812,81.6469
7.82,9.84,14.42,0.0421770,0.0474820,0.0297936,0.0934205,88.3429,98.3484,53.4841,67.0666 7.82,9.84,14.42,0.042177,0.047482,0.0297936,0.0934205,88.3429,98.3484,53.4841,67.0666
5.72,11.78,13.37,0.0772789,0.0353789,0.0293972,0.0719482,166.3376,67.8034,55.0039,54.5020 5.72,11.78,13.37,0.0772789,0.0353789,0.0293972,0.0719482,166.3376,67.8034,55.0039,54.502
10.54,4.85,8.21,0.0161377,0.1107135,0.0903302,0.1383831,18.5385,195.3177,110.0121,81.7428 10.54,4.85,8.21,0.0161377,0.1107135,0.0903302,0.1383831,18.5385,195.3177,110.0121,81.7428
7.07,15.26,4.16,0.0205172,0.0282205,0.1826803,0.2850700,40.8943,38.3046,285.0250,149.7966 7.07,15.26,4.16,0.0205172,0.0282205,0.1826803,0.28507,40.8943,38.3046,285.025,149.7966
11.94,14.80,15.93,0.0239298,0.0817664,0.0338733,0.1028892,42.4723,87.8776,64.2093,69.8335 11.94,14.8,15.93,0.0239298,0.0817664,0.0338733,0.1028892,42.4723,87.8776,64.2093,69.8335
9.81,12.65,4.96,0.0089586,0.0321010,0.1749998,0.3156683,13.1979,47.4165,266.6440,147.5593 9.81,12.65,4.96,0.0089586,0.032101,0.1749998,0.3156683,13.1979,47.4165,266.644,147.5593
7.21,9.27,9.82,0.0389181,0.0460074,0.0552465,0.0930625,82.2030,85.0636,90.3346,70.8627 7.21,9.27,9.82,0.0389181,0.0460074,0.0552465,0.0930625,82.203,85.0636,90.3346,70.8627
6.81,9.02,9.65,0.042284433,0.046292119,0.054206595,0.092638396,90.54817,89.06076492,90.38183775,69.0909405
...@@ -63,6 +63,6 @@ tw1,tw2,tw3,tw4,tw5,Exymax_tw1,Exymax_tw2,Exymax_tw3,Exymax_tw4,Exymax_tw5,Eyyma ...@@ -63,6 +63,6 @@ tw1,tw2,tw3,tw4,tw5,Exymax_tw1,Exymax_tw2,Exymax_tw3,Exymax_tw4,Exymax_tw5,Eyyma
10.08,13.19,12.66,9.43,12.79,0.0182058,0.0173443,0.0443796,0.0671675,0.0281014,0.1455139,27.9228,26.9374,63.7859,95.6849,54.3139,93.6209 10.08,13.19,12.66,9.43,12.79,0.0182058,0.0173443,0.0443796,0.0671675,0.0281014,0.1455139,27.9228,26.9374,63.7859,95.6849,54.3139,93.6209
8.96,4.52,5.58,6.91,9.82,0.0182504,0.0894588,0.1212475,0.0631662,0.024132,0.1199809,21.3667,157.3141,204.0845,99.8104,32.8082,61.9136 8.96,4.52,5.58,6.91,9.82,0.0182504,0.0894588,0.1212475,0.0631662,0.024132,0.1199809,21.3667,157.3141,204.0845,99.8104,32.8082,61.9136
5.68,13.91,12.58,11.42,5.93,0.066269,0.0164049,0.0266002,0.0471815,0.0612316,0.1382278,123.0662,24.2749,43.1425,56.6075,108.8461,93.968 5.68,13.91,12.58,11.42,5.93,0.066269,0.0164049,0.0266002,0.0471815,0.0612316,0.1382278,123.0662,24.2749,43.1425,56.6075,108.8461,93.968
5.74,7.35,8.73,6.54,5,0.0616588,0.0548414,0.0568781,0.0715819,0.0582073,0.1218811,93.0957,93.5817,82.9841,81.4939,72.9981,78.5423 5.97,7.38,8.56,6.7,5,0.0563488,0.0518778,0.0596584,0.0712373,0.058239,0.1229254,84.9512,90.6505,87.9108,81.0599,74.1754,79.1536
5.7,7.42,8.45,6.09,5,0.0602438,0.0528245,0.0588412,0.0775535,0.0574888,0.1230745,92.0594,89.7108,87.3874,91.3958,72.3656,77.627 5.7,7.42,8.45,6.09,5,0.0602438,0.0528245,0.0588412,0.0775535,0.0574888,0.1230745,92.0594,89.7108,87.3874,91.3958,72.3656,77.627
5.76,7.39,8.42,6.17,5,0.0581466,0.0520777,0.0593142,0.077353,0.0579703,0.1234245,90.1357,89.9638,88.5223,90.3566,72.4717,77.916 5.76,7.39,8.42,6.17,5,0.0581466,0.0520777,0.0593142,0.077353,0.0579703,0.1234245,90.1357,89.9638,88.5223,90.3566,72.4717,77.916
output,model,cv_rmse,std_rmse,cv_rmse_dispersion,cv_mae,cv_r2,BEST_PARAMS,fit_time_sec,gpr_kernel
exymax_tw1,SVR,0.0024756253409925536,0.003162723363436417,1.2775452371837432,0.0024756253409925536,,"{""svr__C"": 1776.5766649807683, ""svr__epsilon"": 0.00032780432870046914, ""svr__gamma"": 0.006225026900894044}",16.06,
exymax_tw1,GaussianProcess,0.003544749506220166,0.00339206480908583,0.9569265199511527,0.003544749506220166,,"{""gpr__amplitude"": 74.13954798652198, ""gpr__kernel_type"": ""Matern52"", ""gpr__length_scale"": 1.845551297039509, ""gpr__n_restarts_optimizer"": 1, ""gpr__noise"": 4.912618463633794e-12, ""gpr__rq_alpha"": 0.05514509165905166}",29.56,"2.95**2 * Matern(length_scale=4.58, nu=2.5) + WhiteKernel(noise_level=4.91e-12)"
exymax_tw1,FlexibleMLP,0.004354007132602834,0.0029001392846239988,0.6660851019070999,0.004354007132602834,,"{""mlp__activation"": ""tanh"", ""mlp__alpha"": 3.278043287004692e-05, ""mlp__learning_rate_init"": 0.001570703295827246, ""mlp__n_layers"": 4, ""mlp__n_neurons"": 298}",231.81,
exymax_tw1,GradientBoosting,0.007005089494731147,0.005181425608557407,0.7396658690020446,0.007005089494731147,,"{""learning_rate"": 0.01, ""max_depth"": 1, ""max_features"": 1.0, ""n_estimators"": 1197, ""subsample"": 0.7}",29.94,
exymax_tw1,XGBoost,0.01026511863275899,0.007655666115322084,0.7457942172134883,0.01026511863275899,,"{""colsample_bytree"": 0.8548914165297054, ""learning_rate"": 0.2, ""max_depth"": 4, ""min_child_weight"": 4, ""n_estimators"": 1021, ""subsample"": 0.7398023228939841}",24.87,
exymax_tw1,RandomForest,0.013433152778697579,0.007877314928573092,0.5864084968247374,0.013433152778697579,,"{""max_depth"": 4, ""max_features"": 0.506420824114914, ""min_samples_leaf"": 2, ""min_samples_split"": 3, ""n_estimators"": 302}",43.26,
exymax_tw2,GaussianProcess,0.0011086563042916073,0.0015044652951971592,1.3570168584920104,0.0011086563042916073,,"{""gpr__amplitude"": 1.1678028847340653, ""gpr__kernel_type"": ""RBF"", ""gpr__length_scale"": 56.93148314584267, ""gpr__n_restarts_optimizer"": 10, ""gpr__noise"": 1.1169777362871868e-11, ""gpr__rq_alpha"": 0.1573413368158819}",28.01,3.47**2 * RBF(length_scale=4.76) + WhiteKernel(noise_level=2.91e-12)
exymax_tw2,SVR,0.001835044976721644,0.0015670942703104398,0.8539813956549963,0.001835044976721644,,"{""svr__C"": 1163.9595637448144, ""svr__epsilon"": 0.0001, ""svr__gamma"": 0.00517350174828139}",17.56,
exymax_tw2,FlexibleMLP,0.007043272559668965,0.004169776509759758,0.5920225966600585,0.007043272559668965,,"{""mlp__activation"": ""tanh"", ""mlp__alpha"": 0.0015685758942019072, ""mlp__learning_rate_init"": 0.0006323708860074323, ""mlp__n_layers"": 1, ""mlp__n_neurons"": 508}",195.69,
exymax_tw2,GradientBoosting,0.011043108784279058,0.010722066983689561,0.9709283131352893,0.011043108784279058,,"{""learning_rate"": 0.023619267887061358, ""max_depth"": 1, ""max_features"": 0.9644651085727028, ""n_estimators"": 1500, ""subsample"": 0.9}",34.49,
exymax_tw2,XGBoost,0.013884196640337838,0.006516852773533836,0.46937197321164303,0.013884196640337838,,"{""colsample_bytree"": 0.7, ""learning_rate"": 0.2, ""max_depth"": 4, ""min_child_weight"": 3, ""n_estimators"": 200, ""subsample"": 0.7}",21.45,
exymax_tw2,RandomForest,0.014437022668518516,0.007424862284508211,0.5142931790707044,0.014437022668518516,,"{""max_depth"": 4, ""max_features"": 1.0, ""min_samples_leaf"": 2, ""min_samples_split"": 3, ""n_estimators"": 200}",34.91,
tfmmax_frame,SVR,2.0080189686021916,1.834503145292003,0.9135885536823514,2.0080189686021916,,"{""svr__C"": 776.8578433766332, ""svr__epsilon"": 0.0001, ""svr__gamma"": 0.012846134106856165}",20.4,
tfmmax_frame,GradientBoosting,3.2496602362879483,2.3154490851486,0.7125203611419735,3.2496602362879483,,"{""learning_rate"": 0.01, ""max_depth"": 1, ""max_features"": 1.0, ""n_estimators"": 1500, ""subsample"": 0.7}",38.78,
tfmmax_frame,GaussianProcess,3.2622096940791403,2.327255350491035,0.7133984534209947,3.2622096940791403,,"{""gpr__amplitude"": 15.783879853890564, ""gpr__kernel_type"": ""Matern32"", ""gpr__length_scale"": 1.2778531518898433, ""gpr__n_restarts_optimizer"": 7, ""gpr__noise"": 1.7014397704982245e-05, ""gpr__rq_alpha"": 7.38115974661544}",32.65,"2.48**2 * Matern(length_scale=6.06, nu=1.5) + WhiteKernel(noise_level=1.7e-05)"
tfmmax_frame,XGBoost,4.483676044379338,3.975644078363131,0.8866929811637333,4.483676044379338,,"{""colsample_bytree"": 0.7, ""learning_rate"": 0.01, ""max_depth"": 1, ""min_child_weight"": 3, ""n_estimators"": 1122, ""subsample"": 0.7}",28.14,
tfmmax_frame,RandomForest,5.5303515805555366,4.473703176262174,0.8089364864236679,5.5303515805555366,,"{""max_depth"": 1, ""max_features"": 1.0, ""min_samples_leaf"": 2, ""min_samples_split"": 2, ""n_estimators"": 200}",41.89,
tfmmax_frame,FlexibleMLP,7.3172526519820895,7.04557172093037,0.9628711834928747,7.3172526519820895,,"{""mlp__activation"": ""relu"", ""mlp__alpha"": 0.0006944934206396821, ""mlp__learning_rate_init"": 0.0032339779426927657, ""mlp__n_layers"": 1, ""mlp__n_neurons"": 99}",304.77,
tfmmax_tw1,SVR,4.3925021654363405,5.5001549209265885,1.252168971982787,4.3925021654363405,,"{""svr__C"": 5236.232200043871, ""svr__epsilon"": 0.0001, ""svr__gamma"": 0.1}",21.66,
tfmmax_tw1,GaussianProcess,5.824945633600926,7.686077467608444,1.3195105930726059,5.824945633600926,,"{""gpr__amplitude"": 3.040177505329657, ""gpr__kernel_type"": ""RQ"", ""gpr__length_scale"": 0.2629640031365337, ""gpr__n_restarts_optimizer"": 10, ""gpr__noise"": 6.934513810183029e-08, ""gpr__rq_alpha"": 6.061391141345191}",40.44,"1.76**2 * RationalQuadratic(alpha=1e+03, length_scale=2.16) + WhiteKernel(noise_level=6.93e-08)"
tfmmax_tw1,FlexibleMLP,6.582640034090435,6.961591808104234,1.05756835738416,6.582640034090435,,"{""mlp__activation"": ""relu"", ""mlp__alpha"": 1e-05, ""mlp__learning_rate_init"": 0.01, ""mlp__n_layers"": 5, ""mlp__n_neurons"": 64}",259.59,
tfmmax_tw1,GradientBoosting,13.511793024681092,10.764396684203307,0.796666783197515,13.511793024681092,,"{""learning_rate"": 0.01, ""max_depth"": 1, ""max_features"": 1.0, ""n_estimators"": 895, ""subsample"": 0.7}",35.2,
tfmmax_tw1,XGBoost,22.219134584554038,16.764440739148885,0.7545046669280691,22.219134584554038,,"{""colsample_bytree"": 0.7674077607707166, ""learning_rate"": 0.015555219980438314, ""max_depth"": 2, ""min_child_weight"": 3, ""n_estimators"": 1038, ""subsample"": 0.7}",33.74,
tfmmax_tw1,RandomForest,23.641361117592606,9.94313351385015,0.4205821088046836,23.641361117592606,,"{""max_depth"": 4, ""max_features"": 1.0, ""min_samples_leaf"": 2, ""min_samples_split"": 3, ""n_estimators"": 200}",40.22,
tfmmax_tw2,SVR,5.680020912182758,5.561050062783906,0.9790545050382337,5.680020912182758,,"{""svr__C"": 10000.0, ""svr__epsilon"": 0.0001, ""svr__gamma"": 0.00963488624259149}",18.34,
tfmmax_tw2,FlexibleMLP,9.087693906694744,8.268052260251366,0.9098075204932285,9.087693906694744,,"{""mlp__activation"": ""relu"", ""mlp__alpha"": 0.009274969483615187, ""mlp__learning_rate_init"": 0.006500900236900651, ""mlp__n_layers"": 1, ""mlp__n_neurons"": 115}",361.1,
tfmmax_tw2,GaussianProcess,10.0291035442904,10.021186033768807,0.9992105465372225,10.0291035442904,,"{""gpr__amplitude"": 9.00918862493577, ""gpr__kernel_type"": ""Matern52"", ""gpr__length_scale"": 1.2157726626660632, ""gpr__n_restarts_optimizer"": 10, ""gpr__noise"": 0.0001, ""gpr__rq_alpha"": 2.141520783739573}",40.02,"3.41**2 * Matern(length_scale=6.41, nu=2.5) + WhiteKernel(noise_level=0.01)"
tfmmax_tw2,GradientBoosting,11.598380810221878,10.593068910995997,0.9133230822754259,11.598380810221878,,"{""learning_rate"": 0.06788372479073597, ""max_depth"": 1, ""max_features"": 1.0, ""n_estimators"": 200, ""subsample"": 0.7}",33.98,
tfmmax_tw2,RandomForest,17.4599810031348,15.045985293298534,0.8617412178511046,17.4599810031348,,"{""max_depth"": 4, ""max_features"": 1.0, ""min_samples_leaf"": 2, ""min_samples_split"": 3, ""n_estimators"": 319}",45.19,
tfmmax_tw2,XGBoost,20.199756171332467,14.78180515090588,0.731781365355501,20.199756171332467,,"{""colsample_bytree"": 1.0, ""learning_rate"": 0.035040930870097256, ""max_depth"": 4, ""min_child_weight"": 3, ""n_estimators"": 200, ""subsample"": 0.7}",27.36,
output,best_model,cv_rmse,std_rmse,cv_rmse_dispersion,cv_mae,cv_r2,BEST_PARAMS,model_path,train_time_sec,gpr_kernel,selected_by
exymax_tw2,GaussianProcess,0.0011086563042916073,0.0015044652951971592,1.3570168584920104,0.0011086563042916073,,"{""gpr__amplitude"": 1.1678028847340653, ""gpr__kernel_type"": ""RBF"", ""gpr__length_scale"": 56.93148314584267, ""gpr__n_restarts_optimizer"": 10, ""gpr__noise"": 1.1169777362871868e-11, ""gpr__rq_alpha"": 0.1573413368158819}",../../models/width_optimization/2W/ml_models/per_output_models_B29_H30/it1/best_model_exymax_tw2.joblib,332.1,3.47**2 * RBF(length_scale=4.76) + WhiteKernel(noise_level=2.91e-12),lowest_cv_rmse_dispersion_within_5pct_rmse_band
exymax_tw1,SVR,0.0024756253409925536,0.003162723363436417,1.2775452371837432,0.0024756253409925536,,"{""svr__C"": 1776.5766649807683, ""svr__epsilon"": 0.00032780432870046914, ""svr__gamma"": 0.006225026900894044}",../../models/width_optimization/2W/ml_models/per_output_models_B29_H30/it1/best_model_exymax_tw1.joblib,375.5,,lowest_cv_rmse_dispersion_within_5pct_rmse_band
tfmmax_frame,SVR,2.0080189686021916,1.834503145292003,0.9135885536823514,2.0080189686021916,,"{""svr__C"": 776.8578433766332, ""svr__epsilon"": 0.0001, ""svr__gamma"": 0.012846134106856165}",../../models/width_optimization/2W/ml_models/per_output_models_B29_H30/it1/best_model_tfmmax_frame.joblib,466.63,,lowest_cv_rmse_dispersion_within_5pct_rmse_band
tfmmax_tw1,SVR,4.3925021654363405,5.5001549209265885,1.252168971982787,4.3925021654363405,,"{""svr__C"": 5236.232200043871, ""svr__epsilon"": 0.0001, ""svr__gamma"": 0.1}",../../models/width_optimization/2W/ml_models/per_output_models_B29_H30/it1/best_model_tfmmax_tw1.joblib,430.85,,lowest_cv_rmse_dispersion_within_5pct_rmse_band
tfmmax_tw2,SVR,5.680020912182758,5.561050062783906,0.9790545050382337,5.680020912182758,,"{""svr__C"": 10000.0, ""svr__epsilon"": 0.0001, ""svr__gamma"": 0.00963488624259149}",../../models/width_optimization/2W/ml_models/per_output_models_B29_H30/it1/best_model_tfmmax_tw2.joblib,525.99,,lowest_cv_rmse_dispersion_within_5pct_rmse_band
output,model,cv_rmse,std_rmse,cv_rmse_dispersion,cv_mae,cv_r2,BEST_PARAMS,fit_time_sec,gpr_kernel
exymax_tw1,SVR,0.0008570511851203082,0.0006731653127795403,0.7854435353065231,0.0008570511851203082,,"{""svr__C"": 10000.0, ""svr__epsilon"": 0.0001, ""svr__gamma"": 0.005539382250631029}",15.78,
exymax_tw1,GaussianProcess,0.00259269843299015,0.003052161150710224,1.177214099362176,0.00259269843299015,,"{""gpr__amplitude"": 17.76576664980768, ""gpr__kernel_type"": ""RBF"", ""gpr__length_scale"": 2.467108843522573, ""gpr__n_restarts_optimizer"": 8, ""gpr__noise"": 1.5290392171324112e-08, ""gpr__rq_alpha"": 0.024089076834871728}",27.84,3.96**2 * RBF(length_scale=4.34) + WhiteKernel(noise_level=1.53e-08)
exymax_tw1,FlexibleMLP,0.0040100425936702416,0.003920304407185099,0.9776216375789145,0.0040100425936702416,,"{""mlp__activation"": ""relu"", ""mlp__alpha"": 0.00014654496622910706, ""mlp__learning_rate_init"": 0.0004227157952168497, ""mlp__n_layers"": 4, ""mlp__n_neurons"": 512}",231.54,
exymax_tw1,GradientBoosting,0.0075532811368529225,0.009000714666129126,1.1916297703012915,0.0075532811368529225,,"{""learning_rate"": 0.07999999999999999, ""max_depth"": 1, ""max_features"": 0.6, ""n_estimators"": 1500, ""subsample"": 0.9}",34.17,
exymax_tw1,RandomForest,0.013631267656481476,0.011536827513353016,0.846350303147882,0.013631267656481476,,"{""max_depth"": 1, ""max_features"": 1.0, ""min_samples_leaf"": 2, ""min_samples_split"": 4, ""n_estimators"": 200}",37.11,
exymax_tw1,XGBoost,0.020261089147528014,0.01403886937801257,0.6928980607010163,0.020261089147528014,,"{""colsample_bytree"": 0.7, ""learning_rate"": 0.2, ""max_depth"": 2, ""min_child_weight"": 3, ""n_estimators"": 200, ""subsample"": 0.95}",20.85,
exymax_tw2,SVR,0.004098427736105821,0.005731658601911444,1.3985018087344538,0.004098427736105821,,"{""svr__C"": 10000.0, ""svr__epsilon"": 0.000496625156190818, ""svr__gamma"": 0.00798837332507487}",17.3,
exymax_tw2,GaussianProcess,0.006278008952606092,0.006251443662881164,0.9957685167502189,0.006278008952606092,,"{""gpr__amplitude"": 8.632012725909878, ""gpr__kernel_type"": ""RQ"", ""gpr__length_scale"": 0.04512619487621619, ""gpr__n_restarts_optimizer"": 3, ""gpr__noise"": 2.5352795401259186e-06, ""gpr__rq_alpha"": 0.30925669615839474}",31.46,"4.33**2 * RationalQuadratic(alpha=1.35, length_scale=5.57) + WhiteKernel(noise_level=0.00114)"
exymax_tw2,FlexibleMLP,0.010756116204244055,0.007640357174494708,0.7103267600883711,0.010756116204244055,,"{""mlp__activation"": ""tanh"", ""mlp__alpha"": 0.01, ""mlp__learning_rate_init"": 0.0001, ""mlp__n_layers"": 5, ""mlp__n_neurons"": 512}",277.99,
exymax_tw2,GradientBoosting,0.014207767921725052,0.010336192381796545,0.7275029011412487,0.014207767921725052,,"{""learning_rate"": 0.07999999999999999, ""max_depth"": 1, ""max_features"": 1.0, ""n_estimators"": 507, ""subsample"": 0.7}",28.55,
exymax_tw2,RandomForest,0.0199899622666667,0.014959820626122325,0.7483666265377527,0.0199899622666667,,"{""max_depth"": 4, ""max_features"": 1.0, ""min_samples_leaf"": 2, ""min_samples_split"": 4, ""n_estimators"": 200}",35.21,
exymax_tw2,XGBoost,0.02252720948460897,0.01564238317593637,0.6943773123175132,0.02252720948460897,,"{""colsample_bytree"": 0.8924816362701187, ""learning_rate"": 0.021789610070768725, ""max_depth"": 1, ""min_child_weight"": 3, ""n_estimators"": 238, ""subsample"": 0.7964709521551065}",22.92,
tfmmax_frame,SVR,3.011026789438939,4.004787262164137,1.3300403955922195,3.011026789438939,,"{""svr__C"": 1481.8620538180178, ""svr__epsilon"": 0.1, ""svr__gamma"": 0.008831482506567626}",18.7,
tfmmax_frame,FlexibleMLP,3.4329196927593526,3.5962636880616357,1.047581653496528,3.4329196927593526,,"{""mlp__activation"": ""tanh"", ""mlp__alpha"": 4.133393571577299e-05, ""mlp__learning_rate_init"": 0.01, ""mlp__n_layers"": 1, ""mlp__n_neurons"": 249}",1385.2,
tfmmax_frame,GaussianProcess,4.420805377977214,3.215902511990723,0.7274472040798577,4.420805377977214,,"{""gpr__amplitude"": 15.302922772649232, ""gpr__kernel_type"": ""Matern32"", ""gpr__length_scale"": 0.4082478946247343, ""gpr__n_restarts_optimizer"": 9, ""gpr__noise"": 0.0001, ""gpr__rq_alpha"": 100.0}",33.11,"2.41**2 * Matern(length_scale=5.94, nu=1.5) + WhiteKernel(noise_level=9.98e-05)"
tfmmax_frame,GradientBoosting,4.612996940871379,4.84040521061896,1.0492972947223815,4.612996940871379,,"{""learning_rate"": 0.013919589474543723, ""max_depth"": 1, ""max_features"": 0.6548784763847341, ""n_estimators"": 1376, ""subsample"": 0.7}",36.63,
tfmmax_frame,RandomForest,7.313851344444424,5.386302748414373,0.7364523142114161,7.313851344444424,,"{""max_depth"": 1, ""max_features"": 1.0, ""min_samples_leaf"": 2, ""min_samples_split"": 2, ""n_estimators"": 200}",37.19,
tfmmax_frame,XGBoost,7.802602041286891,4.566311927582524,0.5852293764849499,7.802602041286891,,"{""colsample_bytree"": 0.7, ""learning_rate"": 0.01, ""max_depth"": 1, ""min_child_weight"": 3, ""n_estimators"": 1200, ""subsample"": 0.7}",34.19,
tfmmax_tw1,SVR,4.560302421976251,6.820351469024152,1.4955919230612091,4.560302421976251,,"{""svr__C"": 3379.63611316452, ""svr__epsilon"": 0.0001, ""svr__gamma"": 0.019544854457496024}",20.65,
tfmmax_tw1,GaussianProcess,9.105443149658928,10.600553074326331,1.1641995782185963,9.105443149658928,,"{""gpr__amplitude"": 5.282502596111938, ""gpr__kernel_type"": ""Matern32"", ""gpr__length_scale"": 1.2599580284909435, ""gpr__n_restarts_optimizer"": 7, ""gpr__noise"": 9.78963138858132e-06, ""gpr__rq_alpha"": 10.361438545346061}",32.81,"3**2 * Matern(length_scale=7.32, nu=1.5) + WhiteKernel(noise_level=2.72e-09)"
tfmmax_tw1,FlexibleMLP,10.06809365397592,7.534600313824996,0.7483641464588046,10.06809365397592,,"{""mlp__activation"": ""relu"", ""mlp__alpha"": 0.0009867418278990128, ""mlp__learning_rate_init"": 0.01, ""mlp__n_layers"": 1, ""mlp__n_neurons"": 64}",273.92,
tfmmax_tw1,GradientBoosting,16.819826032983443,18.5413004600373,1.1023479329499644,16.819826032983443,,"{""learning_rate"": 0.062293187477610465, ""max_depth"": 1, ""max_features"": 0.8335379521129794, ""n_estimators"": 1500, ""subsample"": 0.7}",41.65,
tfmmax_tw1,RandomForest,28.513960764390934,16.316328891767192,0.5722224641672194,28.513960764390934,,"{""max_depth"": 4, ""max_features"": 1.0, ""min_samples_leaf"": 2, ""min_samples_split"": 2, ""n_estimators"": 415}",45.77,
tfmmax_tw1,XGBoost,33.646646844482426,22.338090055573662,0.6639024137775795,33.646646844482426,,"{""colsample_bytree"": 0.9351802199931738, ""learning_rate"": 0.1923434374313926, ""max_depth"": 2, ""min_child_weight"": 3, ""n_estimators"": 923, ""subsample"": 0.7862748144930891}",32.73,
tfmmax_tw2,SVR,7.532025741419391,5.994528134314546,0.7958719659373991,7.532025741419391,,"{""svr__C"": 10000.0, ""svr__epsilon"": 0.0001, ""svr__gamma"": 0.018215310665708}",20.35,
tfmmax_tw2,GaussianProcess,9.4146236263087,8.042905282918047,0.8542991841375949,9.4146236263087,,"{""gpr__amplitude"": 22.364202820542708, ""gpr__kernel_type"": ""RQ"", ""gpr__length_scale"": 0.1635461931468242, ""gpr__n_restarts_optimizer"": 10, ""gpr__noise"": 8.185087448430454e-06, ""gpr__rq_alpha"": 0.017752182884113583}",32.97,"3.58**2 * RationalQuadratic(alpha=1e+03, length_scale=4.31) + WhiteKernel(noise_level=0.00398)"
tfmmax_tw2,GradientBoosting,13.587370298798847,10.313239200828738,0.7590312896484797,13.587370298798847,,"{""learning_rate"": 0.02911560928746067, ""max_depth"": 1, ""max_features"": 1.0, ""n_estimators"": 1238, ""subsample"": 0.724603829439197}",34.7,
tfmmax_tw2,FlexibleMLP,13.638150768372547,8.656749417008834,0.6347451032059424,13.638150768372547,,"{""mlp__activation"": ""relu"", ""mlp__alpha"": 0.00834395187014542, ""mlp__learning_rate_init"": 0.0029488173801534745, ""mlp__n_layers"": 1, ""mlp__n_neurons"": 64}",228.45,
tfmmax_tw2,RandomForest,23.399001751183537,20.62974127884238,0.8816504865554324,23.399001751183537,,"{""max_depth"": 4, ""max_features"": 1.0, ""min_samples_leaf"": 2, ""min_samples_split"": 3, ""n_estimators"": 665}",43.46,
tfmmax_tw2,XGBoost,25.95496679280599,19.083915126969973,0.7352702578783308,25.95496679280599,,"{""colsample_bytree"": 1.0, ""learning_rate"": 0.01, ""max_depth"": 1, ""min_child_weight"": 3, ""n_estimators"": 200, ""subsample"": 0.95}",23.47,
output,best_model,cv_rmse,std_rmse,cv_rmse_dispersion,cv_mae,cv_r2,BEST_PARAMS,model_path,train_time_sec,gpr_kernel,selected_by
exymax_tw1,SVR,0.0008570511851203082,0.0006731653127795403,0.7854435353065231,0.0008570511851203082,,"{""svr__C"": 10000.0, ""svr__epsilon"": 0.0001, ""svr__gamma"": 0.005539382250631029}",../../models/width_optimization/2W/ml_models/per_output_models_B34_H30/it1/best_model_exymax_tw1.joblib,367.29,,lowest_cv_rmse_dispersion_within_5pct_rmse_band
exymax_tw2,SVR,0.004098427736105821,0.005731658601911444,1.3985018087344538,0.004098427736105821,,"{""svr__C"": 10000.0, ""svr__epsilon"": 0.000496625156190818, ""svr__gamma"": 0.00798837332507487}",../../models/width_optimization/2W/ml_models/per_output_models_B34_H30/it1/best_model_exymax_tw2.joblib,413.43,,lowest_cv_rmse_dispersion_within_5pct_rmse_band
tfmmax_frame,SVR,3.011026789438939,4.004787262164137,1.3300403955922195,3.011026789438939,,"{""svr__C"": 1481.8620538180178, ""svr__epsilon"": 0.1, ""svr__gamma"": 0.008831482506567626}",../../models/width_optimization/2W/ml_models/per_output_models_B34_H30/it1/best_model_tfmmax_frame.joblib,1545.02,,lowest_cv_rmse_dispersion_within_5pct_rmse_band
tfmmax_tw1,SVR,4.560302421976251,6.820351469024152,1.4955919230612091,4.560302421976251,,"{""svr__C"": 3379.63611316452, ""svr__epsilon"": 0.0001, ""svr__gamma"": 0.019544854457496024}",../../models/width_optimization/2W/ml_models/per_output_models_B34_H30/it1/best_model_tfmmax_tw1.joblib,447.54,,lowest_cv_rmse_dispersion_within_5pct_rmse_band
tfmmax_tw2,SVR,7.532025741419391,5.994528134314546,0.7958719659373991,7.532025741419391,,"{""svr__C"": 10000.0, ""svr__epsilon"": 0.0001, ""svr__gamma"": 0.018215310665708}",../../models/width_optimization/2W/ml_models/per_output_models_B34_H30/it1/best_model_tfmmax_tw2.joblib,383.42,,lowest_cv_rmse_dispersion_within_5pct_rmse_band
output,LOO_RMSE,LOO_MAE,LOO_R2,LOO_RMSE_STD,LOO_RMSE_CV,LOO_MAE_STD,LOO_SQERR_STD
exymax_tw1,0.007812656716947588,0.004826234538342722,0.7670274266915268,0.006143701258832014,1.2729802520002882,0.006143701258832014,0.00014033396207694654
exymax_tw2,0.008480493911263634,0.005499651414187815,0.8705129954974506,0.006455432696682816,1.173789429640815,0.006455432696682816,0.00014803756335460616
tfmmax_tw1,11.12196967900263,6.833950421315495,0.8993653836220409,8.774698352630454,1.283986246850965,8.774698352630454,305.00229159317195
tfmmax_tw2,13.365853767161791,11.075408982373931,0.852276168131844,7.4820694195058,0.6755569416364862,7.4820694195058,197.56647120129273
tfmmax_frame,12.511912820841165,7.144775543417528,-0.3223437947375569,10.271326344270843,1.4375995833394377,10.271326344270843,331.43515599253226
output,LOO_RMSE,LOO_MAE,LOO_R2,LOO_RMSE_STD,LOO_RMSE_CV,LOO_MAE_STD,LOO_SQERR_STD
exymax_tw1,0.0069907606781344665,0.005219312215888287,0.9254785518802771,0.004650754223997476,0.8910664914507234,0.004650754223997476,6.505482746800609e-05
exymax_tw2,0.009470178673517972,0.006266140744947335,0.9270752905067744,0.007100687591555164,1.1331835463926918,0.007100687591555164,0.00012828248176948906
tfmmax_tw1,16.044573039703014,10.510325581437282,0.8658292341548922,12.122762894594198,1.1534145922182188,12.122762894594198,396.04809773092245
tfmmax_tw2,12.508458205945779,8.640986797730678,0.9283835926458075,9.044051849217606,1.0466457200921522,9.044051849217606,234.35307303644234
tfmmax_frame,15.554012347205763,7.828592348187034,-0.15381669651958507,13.440254534157333,1.716816246955286,13.440254534157333,628.8875343934393
output,best_model,cv_rmse,std_rmse,cv_rmse_dispersion,cv_mae,cv_r2,BEST_PARAMS,model_path,train_time_sec,gpr_kernel,selected_by
exymax_tw1,SVR,0.004544565096969737,0.005622030813647301,1.2370888508992874,0.004544565096969737,,"{""svr__C"": 2.0969470732826045, ""svr__epsilon"": 0.00010027088895761322, ""svr__gamma"": 0.03663137264354234}",../../models/width_optimization/3W/ml_models/per_output_models_B29_H45/it1/best_model_exymax_tw1.joblib,547.14,,lowest_cv_rmse_dispersion_within_5pct_rmse_band
exymax_tw3,GradientBoosting,0.006016570757245166,0.005743412757159203,0.9545990546596622,0.006016570757245166,,"{""learning_rate"": 0.05158453956497575, ""max_depth"": 2, ""max_features"": 1.0, ""n_estimators"": 1500, ""subsample"": 0.8337045824403948}",../../models/width_optimization/3W/ml_models/per_output_models_B29_H45/it1/best_model_exymax_tw3.joblib,389.25,,lowest_cv_rmse_dispersion_within_5pct_rmse_band
exymax_tw2,SVR,0.007153056583588979,0.0048896483167959436,0.6835746732402623,0.007153056583588979,,"{""svr__C"": 1578.3879853890564, ""svr__epsilon"": 0.002061045404501547, ""svr__gamma"": 0.003800674800490907}",../../models/width_optimization/3W/ml_models/per_output_models_B29_H45/it1/best_model_exymax_tw2.joblib,668.5,,lowest_cv_rmse_dispersion_within_5pct_rmse_band
tfmmax_frame,SVR,2.0392791608860255,2.0486984258782583,1.0046189188674592,2.0392791608860255,,"{""svr__C"": 551.6615876649848, ""svr__epsilon"": 0.0001, ""svr__gamma"": 0.07028818985152292}",../../models/width_optimization/3W/ml_models/per_output_models_B29_H45/it1/best_model_tfmmax_frame.joblib,1273.23,,lowest_cv_rmse_dispersion_within_5pct_rmse_band
tfmmax_tw3,SVR,4.618428678644538,4.71572163761625,1.0210662469297387,4.618428678644538,,"{""svr__C"": 4960.755063873588, ""svr__epsilon"": 0.0001, ""svr__gamma"": 0.03679842296848954}",../../models/width_optimization/3W/ml_models/per_output_models_B29_H45/it1/best_model_tfmmax_tw3.joblib,1619.29,,lowest_cv_rmse_dispersion_within_5pct_rmse_band
tfmmax_tw2,SVR,6.959305590142771,5.588544761719235,0.8030319533079429,6.959305590142771,,"{""svr__C"": 10000.0, ""svr__epsilon"": 0.1, ""svr__gamma"": 0.04637768497983556}",../../models/width_optimization/3W/ml_models/per_output_models_B29_H45/it1/best_model_tfmmax_tw2.joblib,752.48,,lowest_cv_rmse_dispersion_within_5pct_rmse_band
tfmmax_tw1,SVR,7.542695824409187,10.800933259893343,1.4319725349310861,7.542695824409187,,"{""svr__C"": 666.0814900036285, ""svr__epsilon"": 0.0001, ""svr__gamma"": 0.1}",../../models/width_optimization/3W/ml_models/per_output_models_B29_H45/it1/best_model_tfmmax_tw1.joblib,1049.88,,lowest_cv_rmse_dispersion_within_5pct_rmse_band
output,best_model,cv_rmse,std_rmse,cv_rmse_dispersion,cv_mae,cv_r2,BEST_PARAMS,model_path,train_time_sec,gpr_kernel,selected_by
exymax_tw3,SVR,0.006722135111899321,0.003892543347026375,0.5790635389246955,0.006722135111899321,,"{""svr__C"": 9213.884743379953, ""svr__epsilon"": 0.00010269561801572416, ""svr__gamma"": 0.0008423186569242777}",../../models/width_optimization/3W/ml_models/per_output_models_B34_H45/it1/best_model_exymax_tw3.joblib,611.16,,lowest_cv_rmse_dispersion_within_5pct_rmse_band
exymax_tw1,GradientBoosting,0.006809025144747611,0.009611717846807024,1.4116143856835912,0.006809025144747611,,"{""learning_rate"": 0.07917979609766448, ""max_depth"": 3, ""max_features"": 0.8923682916293771, ""n_estimators"": 1467, ""subsample"": 0.7010466119809067}",../../models/width_optimization/3W/ml_models/per_output_models_B34_H45/it1/best_model_exymax_tw1.joblib,556.91,,lowest_cv_rmse_dispersion_within_5pct_rmse_band
exymax_tw2,SVR,0.00930805333,0.01190469458692915,1.2789671658369355,0.00930805333,,"{""svr__C"": 1776.5766649807683, ""svr__epsilon"": 0.00032780432870046914, ""svr__gamma"": 0.006225026900894044}",../../models/width_optimization/3W/ml_models/per_output_models_B34_H45/it1/best_model_exymax_tw2.joblib,576.32,,lowest_cv_rmse_dispersion_within_5pct_rmse_band
tfmmax_frame,SVR,1.6198986811268496,1.828107445033068,1.128531967049558,1.6198986811268496,,"{""svr__C"": 5251.84626050135, ""svr__epsilon"": 0.1, ""svr__gamma"": 0.08533119498626765}",../../models/width_optimization/3W/ml_models/per_output_models_B34_H45/it1/best_model_tfmmax_frame.joblib,1487.79,,lowest_cv_rmse_dispersion_within_5pct_rmse_band
tfmmax_tw2,SVR,5.241528459075318,5.774788019902097,1.1017374159065147,5.241528459075318,,"{""svr__C"": 10000.0, ""svr__epsilon"": 0.0001, ""svr__gamma"": 0.045136451590377935}",../../models/width_optimization/3W/ml_models/per_output_models_B34_H45/it1/best_model_tfmmax_tw2.joblib,916.38,,lowest_cv_rmse_dispersion_within_5pct_rmse_band
tfmmax_tw3,SVR,5.366395459026223,5.457789561277232,1.0170308176035154,5.366395459026223,,"{""svr__C"": 10000.0, ""svr__epsilon"": 0.0001, ""svr__gamma"": 0.025160457729386184}",../../models/width_optimization/3W/ml_models/per_output_models_B34_H45/it1/best_model_tfmmax_tw3.joblib,2333.82,,lowest_cv_rmse_dispersion_within_5pct_rmse_band
tfmmax_tw1,SVR,12.17385715686376,14.081170626993753,1.1566728971396407,12.17385715686376,,"{""svr__C"": 5205.98044563216, ""svr__epsilon"": 0.1, ""svr__gamma"": 0.05264632125017639}",../../models/width_optimization/3W/ml_models/per_output_models_B34_H45/it1/best_model_tfmmax_tw1.joblib,923.68,,lowest_cv_rmse_dispersion_within_5pct_rmse_band
output,LOO_RMSE,LOO_MAE,LOO_R2,LOO_RMSE_STD,LOO_RMSE_CV,LOO_MAE_STD,LOO_SQERR_STD
exymax_tw1,0.009664738844235058,0.006891541645517656,0.8282511575440406,0.006775974518500035,0.9832305842492025,0.006775974518500035,0.0001866858647809949
exymax_tw2,0.008794896944852741,0.006893913242805494,0.9115500846632101,0.005461151203844399,0.7921699927894611,0.005461151203844399,9.89250222213258e-05
exymax_tw3,0.011642649362181996,0.00786764859416453,0.9415784387712007,0.00858203878862463,1.0908009789595796,0.00858203878862463,0.00025164733549623553
tfmmax_tw1,16.674188569297787,10.569415176666508,0.8826408295131737,12.89635713167686,1.2201580613606142,12.89635713167686,526.2958511297622
tfmmax_tw2,9.876659773351388,7.197513519697939,0.9558823259222151,6.7634464152754905,0.9396920751542173,6.7634464152754905,174.50737634617838
tfmmax_tw3,14.766156027746682,9.464551738380948,0.9606403016800643,11.334091239586431,1.1975306969503974,11.334091239586431,404.66393630766
tfmmax_frame,6.972755565036954,5.268329306236887,0.9580580629748319,4.567715675345761,0.8670140778668282,4.567715675345761,97.81529326270824
output,LOO_RMSE,LOO_MAE,LOO_R2,LOO_RMSE_STD,LOO_RMSE_CV,LOO_MAE_STD,LOO_SQERR_STD
exymax_tw1,0.011989772947555107,0.007804076484253263,0.821463371495126,0.009102254971261218,1.1663462024785847,0.009102254971261218,0.0003177020710335127
exymax_tw2,0.016094319221679768,0.01010286649554208,0.7231557726541351,0.012528335874432169,1.2400773463610881,0.012528335874432169,0.0006070504083770877
exymax_tw3,0.012443998275974838,0.0085123952161833,0.9449281900502644,0.009077016072254385,1.0663292577155792,0.009077016072254385,0.00026811474326490087
tfmmax_tw1,21.010582238539605,12.366664872259886,0.8829571560704604,16.985587006036887,1.3734978008612388,16.985587006036887,842.375323080444
tfmmax_tw2,11.24664836103733,7.516935886297351,0.9561166531555773,8.36557076583055,1.1128963838949562,8.36557076583055,234.798887397094
tfmmax_tw3,16.792237270490816,10.456662531718287,0.9506228597144651,13.139156793577728,1.256534458649938,13.139156793577728,562.8764003179608
tfmmax_frame,7.090027087624625,4.7494105218496365,0.9474015015279276,5.264179309084644,1.108385827013019,5.264179309084644,124.26727514349405
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