adaptive-classifier/llm-config-optimizer
110
1{2 "total_queries": 500,3 "successful_optimizations": 349,4 "failed_optimizations": 151,5 "avg_similarity_score": 0.6399074779133016,6 "class_distribution": {7 "DETERMINISTIC": 65,8 "FOCUSED": 92,9 "BALANCED": 82,10 "CREATIVE": 62,11 "EXPERIMENTAL": 4812 },13 "detailed_scores": [14 {15 "query": "question_id",16 "class": "BALANCED",17 "score": 0.7059909825520521,18 "metrics": {19 "length_ratio": 0.9564102564102565,20 "lexical_similarity": 0.5643178043446598,21 "semantic_similarity": 0.7180211544036865,22 "edit_similarity": 0.7692307692307692,23 "temperature": 0.724 }25 },26 {27 "query": "category",28 "class": "CREATIVE",29 "score": 0.5751863987775953,30 "metrics": {31 "length_ratio": 0.5298804780876494,32 "lexical_similarity": 0.45869008066091943,33 "semantic_similarity": 0.7662591934204102,34 "edit_similarity": 0.3904382470119522,35 "temperature": 1.336 }37 },38 {39 "query": "cluster",40 "class": "CREATIVE",41 "score": 0.6146628106508869,42 "metrics": {43 "length_ratio": 0.4715079916608756,44 "lexical_similarity": 0.5413393030124466,45 "semantic_similarity": 0.8737901449203491,46 "edit_similarity": 0.27797081306462823,47 "temperature": 1.248 }49 },50 {51 "query": "turns",52 "class": "FOCUSED",53 "score": 0.6088542651417507,54 "metrics": {55 "length_ratio": 0.9568345323741008,56 "lexical_similarity": 0.3609109455358704,57 "semantic_similarity": 0.7172797918319702,58 "edit_similarity": 0.5899280575539568,59 "temperature": 0.360 }61 },62 {63 "query": "question_id",64 "class": "DETERMINISTIC",65 "score": 0.6351831242767634,66 "metrics": {67 "length_ratio": 0.9235668789808917,68 "lexical_similarity": 0.5045054842974452,69 "semantic_similarity": 0.7653111815452576,70 "edit_similarity": 0.4267515923566879,71 "temperature": 0.072 }73 },74 {75 "query": "cluster",76 "class": "FOCUSED",77 "score": 0.5147472466574486,78 "metrics": {79 "length_ratio": 0.6427795874049945,80 "lexical_similarity": 0.2749603220300935,81 "semantic_similarity": 0.7777162790298462,82 "edit_similarity": 0.28447339847991315,83 "temperature": 0.484 }85 },86 {87 "query": "turns",88 "class": "BALANCED",89 "score": 0.6018894125225991,90 "metrics": {91 "length_ratio": 0.7883211678832117,92 "lexical_similarity": 0.4652915323370138,93 "semantic_similarity": 0.6083096265792847,94 "edit_similarity": 0.7007299270072993,95 "temperature": 0.796 }97 },98 {99 "query": "question_id",100 "class": "BALANCED",101 "score": 0.9531943231102029,102 "metrics": {103 "length_ratio": 0.9340277777777778,104 "lexical_similarity": 0.9269700632965784,105 "semantic_similarity": 0.9941818714141846,106 "edit_similarity": 0.9201388888888888,107 "temperature": 0.7108 }109 },110 {111 "query": "category",112 "class": "CREATIVE",113 "score": 0.528544969349245,114 "metrics": {115 "length_ratio": 0.5959264126149802,116 "lexical_similarity": 0.3349070921952999,117 "semantic_similarity": 0.7769823670387268,118 "edit_similarity": 0.2884362680683311,119 "temperature": 1.2120 }121 },122 {123 "query": "cluster",124 "class": "CREATIVE",125 "score": 0.5870656018652936,126 "metrics": {127 "length_ratio": 0.896,128 "lexical_similarity": 0.5254740687735939,129 "semantic_similarity": 0.45755845308303833,130 "edit_similarity": 0.784,131 "temperature": 1.3132 }133 },134 {135 "query": "turns",136 "class": "BALANCED",137 "score": 0.628513269279096,138 "metrics": {139 "length_ratio": 0.4825174825174825,140 "lexical_similarity": 0.49716360348268923,141 "semantic_similarity": 0.8994594216346741,142 "edit_similarity": 0.35664335664335667,143 "temperature": 0.7144 }145 },146 {147 "query": "category",148 "class": "FOCUSED",149 "score": 0.513810155843031,150 "metrics": {151 "length_ratio": 0.6686868686868687,152 "lexical_similarity": 0.29196697515599895,153 "semantic_similarity": 0.7428228855133057,154 "edit_similarity": 0.3111111111111111,155 "temperature": 0.3156 }157 },158 {159 "query": "cluster",160 "class": "DETERMINISTIC",161 "score": 0.5472838134704366,162 "metrics": {163 "length_ratio": 0.2746803069053708,164 "lexical_similarity": 0.5328899244883151,165 "semantic_similarity": 0.7991047501564026,166 "edit_similarity": 0.2015345268542199,167 "temperature": 0.1168 }169 },170 {171 "query": "question_id",172 "class": "DETERMINISTIC",173 "score": 0.536629650087746,174 "metrics": {175 "length_ratio": 0.8151815181518152,176 "lexical_similarity": 0.4110083627966629,177 "semantic_similarity": 0.6529548168182373,178 "edit_similarity": 0.3531353135313532,179 "temperature": 0.0180 }181 },182 {183 "query": "cluster",184 "class": "BALANCED",185 "score": 0.5655224642051309,186 "metrics": {187 "length_ratio": 0.3485793485793486,188 "lexical_similarity": 0.45863677863131047,189 "semantic_similarity": 0.8163635730743408,190 "edit_similarity": 0.33264033264033266,191 "temperature": 0.7192 }193 },194 {195 "query": "turns",196 "class": "DETERMINISTIC",197 "score": 0.5355735517007538,198 "metrics": {199 "length_ratio": 0.9846938775510204,200 "lexical_similarity": 0.2152425256625527,201 "semantic_similarity": 0.7221448421478271,202 "edit_similarity": 0.41836734693877553,203 "temperature": 0.0204 }205 },206 {207 "query": "question_id",208 "class": "DETERMINISTIC",209 "score": 0.7703744083886733,210 "metrics": {211 "length_ratio": 0.9841269841269841,212 "lexical_similarity": 0.6944383154967662,213 "semantic_similarity": 0.7424088716506958,214 "edit_similarity": 0.8333333333333334,215 "temperature": 0.0216 }217 },218 {219 "query": "category",220 "class": "EXPERIMENTAL",221 "score": 0.5396424754083481,222 "metrics": {223 "length_ratio": 0.7149901380670611,224 "lexical_similarity": 0.22134827115956449,225 "semantic_similarity": 0.8667734861373901,226 "edit_similarity": 0.2751479289940828,227 "temperature": 1.7228 }229 },230 {231 "query": "cluster",232 "class": "CREATIVE",233 "score": 0.5791742075311055,234 "metrics": {235 "length_ratio": 0.7753623188405797,236 "lexical_similarity": 0.383267402404445,237 "semantic_similarity": 0.7338545322418213,238 "edit_similarity": 0.4655797101449275,239 "temperature": 1.2240 }241 },242 {243 "query": "turns",244 "class": "BALANCED",245 "score": 0.7111649805350573,246 "metrics": {247 "length_ratio": 0.992619926199262,248 "lexical_similarity": 0.8659674074447716,249 "semantic_similarity": 0.3950420618057251,250 "edit_similarity": 0.9704797047970479,251 "temperature": 0.7252 }253 },254 {255 "query": "question_id",256 "class": "FOCUSED",257 "score": 0.5516645990235423,258 "metrics": {259 "length_ratio": 0.9345238095238095,260 "lexical_similarity": 0.3159161341076665,261 "semantic_similarity": 0.7449029684066772,262 "edit_similarity": 0.32738095238095233,263 "temperature": 0.4264 }265 },266 {267 "query": "cluster",268 "class": "DETERMINISTIC",269 "score": 0.5960192511983388,270 "metrics": {271 "length_ratio": 0.8685208596713021,272 "lexical_similarity": 0.3519205224580861,273 "semantic_similarity": 0.8597992658615112,274 "edit_similarity": 0.2983565107458913,275 "temperature": 0.0276 }277 },278 {279 "query": "question_id",280 "class": "FOCUSED",281 "score": 0.7821216699818276,282 "metrics": {283 "length_ratio": 0.9763779527559056,284 "lexical_similarity": 0.6944383154967662,285 "semantic_similarity": 0.7750266194343567,286 "edit_similarity": 0.8307086614173228,287 "temperature": 0.4288 }289 },290 {291 "query": "category",292 "class": "FOCUSED",293 "score": 0.5047128391468365,294 "metrics": {295 "length_ratio": 0.24280666330136294,296 "lexical_similarity": 0.32978692835767043,297 "semantic_similarity": 0.8636342287063599,298 "edit_similarity": 0.18021201413427557,299 "temperature": 0.4300 }301 },302 {303 "query": "cluster",304 "class": "BALANCED",305 "score": 0.5347407561766314,306 "metrics": {307 "length_ratio": 0.697324414715719,308 "lexical_similarity": 0.23778618534487408,309 "semantic_similarity": 0.8286627531051636,310 "edit_similarity": 0.3110367892976589,311 "temperature": 0.8312 }313 },314 {315 "query": "turns",316 "class": "BALANCED",317 "score": 0.6102453037871165,318 "metrics": {319 "length_ratio": 0.9364161849710982,320 "lexical_similarity": 0.3360969272762575,321 "semantic_similarity": 0.7677602171897888,322 "edit_similarity": 0.5433526011560694,323 "temperature": 0.7324 }325 },326 {327 "query": "question_id",328 "class": "BALANCED",329 "score": 0.7249212199473067,330 "metrics": {331 "length_ratio": 0.9618320610687023,332 "lexical_similarity": 0.6802322512594663,333 "semantic_similarity": 0.7658693194389343,334 "edit_similarity": 0.5916030534351144,335 "temperature": 0.8336 }337 },338 {339 "query": "cluster",340 "class": "BALANCED",341 "score": 1.0000000476837159,342 "metrics": {343 "length_ratio": 1.0,344 "lexical_similarity": 1.0,345 "semantic_similarity": 1.0000001192092896,346 "edit_similarity": 1.0,347 "temperature": 0.8348 }349 },350 {351 "query": "turns",352 "class": "EXPERIMENTAL",353 "score": 0.500374678440661,354 "metrics": {355 "length_ratio": 0.425531914893617,356 "lexical_similarity": 0.37642388002706373,357 "semantic_similarity": 0.6707464456558228,358 "edit_similarity": 0.3829787234042553,359 "temperature": 1.8360 }361 },362 {363 "query": "question_id",364 "class": "BALANCED",365 "score": 0.5075896076279759,366 "metrics": {367 "length_ratio": 0.7931034482758621,368 "lexical_similarity": 0.2547509971369165,369 "semantic_similarity": 0.7146102786064148,370 "edit_similarity": 0.3300492610837439,371 "temperature": 0.8372 }373 },374 {375 "query": "cluster",376 "class": "BALANCED",377 "score": 0.5678254689626764,378 "metrics": {379 "length_ratio": 0.5426439232409381,380 "lexical_similarity": 0.43316722810409347,381 "semantic_similarity": 0.7991125583648682,382 "edit_similarity": 0.3198294243070362,383 "temperature": 0.8384 }385 },386 {387 "query": "turns",388 "class": "DETERMINISTIC",389 "score": 0.607621978325234,390 "metrics": {391 "length_ratio": 0.5578947368421052,392 "lexical_similarity": 0.6418324856467302,393 "semantic_similarity": 0.636803388595581,394 "edit_similarity": 0.5228070175438597,395 "temperature": 0.0396 }397 },398 {399 "query": "question_id",400 "class": "FOCUSED",401 "score": 0.536410181615325,402 "metrics": {403 "length_ratio": 0.801980198019802,404 "lexical_similarity": 0.4110083627966629,405 "semantic_similarity": 0.6540563106536865,406 "edit_similarity": 0.3564356435643564,407 "temperature": 0.4408 }409 },410 {411 "query": "cluster",412 "class": "FOCUSED",413 "score": 0.5960195960714669,414 "metrics": {415 "length_ratio": 0.6351674641148325,416 "lexical_similarity": 0.4553087885456452,417 "semantic_similarity": 0.8378616571426392,418 "edit_similarity": 0.3038277511961722,419 "temperature": 0.4420 }421 },422 {423 "query": "question_id",424 "class": "BALANCED",425 "score": 0.532763391700659,426 "metrics": {427 "length_ratio": 0.6160337552742616,428 "lexical_similarity": 0.46890698368768263,429 "semantic_similarity": 0.6542788743972778,430 "edit_similarity": 0.3438818565400844,431 "temperature": 0.7432 }433 },434 {435 "query": "category",436 "class": "CREATIVE",437 "score": 0.5722378665524257,438 "metrics": {439 "length_ratio": 0.8567839195979899,440 "lexical_similarity": 0.26585878340973845,441 "semantic_similarity": 0.8700196743011475,442 "edit_similarity": 0.29396984924623115,443 "temperature": 1.3444 }445 },446 {447 "query": "cluster",448 "class": "EXPERIMENTAL",449 "score": 0.5641688926546011,450 "metrics": {451 "length_ratio": 0.5532608695652174,452 "lexical_similarity": 0.32594036268654336,453 "semantic_similarity": 0.8896082639694214,454 "edit_similarity": 0.2760869565217391,455 "temperature": 1.7456 }457 },458 {459 "query": "category",460 "class": "FOCUSED",461 "score": 0.5098659052902605,462 "metrics": {463 "length_ratio": 0.6911764705882353,464 "lexical_similarity": 0.13402827072482115,465 "semantic_similarity": 0.8624605536460876,466 "edit_similarity": 0.2777777777777778,467 "temperature": 0.4468 }469 },470 {471 "query": "turns",472 "class": "BALANCED",473 "score": 0.532357886955524,474 "metrics": {475 "length_ratio": 0.5155038759689923,476 "lexical_similarity": 0.3747963455289782,477 "semantic_similarity": 0.7639447450637817,478 "edit_similarity": 0.313953488372093,479 "temperature": 0.8480 }481 },482 {483 "query": "question_id",484 "class": "BALANCED",485 "score": 0.5441138742847181,486 "metrics": {487 "length_ratio": 0.6963350785340314,488 "lexical_similarity": 0.3432897987967679,489 "semantic_similarity": 0.7441785931587219,490 "edit_similarity": 0.3691099476439791,491 "temperature": 0.8492 }493 },494 {495 "query": "category",496 "class": "EXPERIMENTAL",497 "score": 0.5790732978829545,498 "metrics": {499 "length_ratio": 0.9644670050761421,500 "lexical_similarity": 0.31900095323186034,501 "semantic_similarity": 0.8124934434890747,502 "edit_similarity": 0.30964467005076146,503 "temperature": 1.7504 }505 },506 {507 "query": "cluster",508 "class": "EXPERIMENTAL",509 "score": 0.5714684620437974,510 "metrics": {511 "length_ratio": 0.7991452991452992,512 "lexical_similarity": 0.4456422836911324,513 "semantic_similarity": 0.5463625192642212,514 "edit_similarity": 0.6965811965811965,515 "temperature": 1.8516 }517 },518 {519 "query": "question_id",520 "class": "DETERMINISTIC",521 "score": 0.7744638526748274,522 "metrics": {523 "length_ratio": 0.9570200573065902,524 "lexical_similarity": 0.7459775195995609,525 "semantic_similarity": 0.7190833687782288,526 "edit_similarity": 0.836676217765043,527 "temperature": 0.0528 }529 },530 {531 "query": "cluster",532 "class": "CREATIVE",533 "score": 0.5399141522220438,534 "metrics": {535 "length_ratio": 0.3412736995624696,536 "lexical_similarity": 0.4633500123125908,537 "semantic_similarity": 0.809516429901123,538 "edit_similarity": 0.2148760330578512,539 "temperature": 1.3540 }541 },542 {543 "query": "turns",544 "class": "FOCUSED",545 "score": 0.6088542651417507,546 "metrics": {547 "length_ratio": 0.9568345323741008,548 "lexical_similarity": 0.3609109455358704,549 "semantic_similarity": 0.7172797918319702,550 "edit_similarity": 0.5899280575539568,551 "temperature": 0.4552 }553 },554 {555 "query": "question_id",556 "class": "FOCUSED",557 "score": 0.6315378574496446,558 "metrics": {559 "length_ratio": 0.8910505836575876,560 "lexical_similarity": 0.5225154396305931,561 "semantic_similarity": 0.7579697370529175,562 "edit_similarity": 0.41245136186770426,563 "temperature": 0.4564 }565 },566 {567 "query": "turns",568 "class": "FOCUSED",569 "score": 0.5298110005639269,570 "metrics": {571 "length_ratio": 0.6045454545454545,572 "lexical_similarity": 0.26055567105626243,573 "semantic_similarity": 0.7597925662994385,574 "edit_similarity": 0.4363636363636364,575 "temperature": 0.3576 }577 },578 {579 "query": "question_id",580 "class": "FOCUSED",581 "score": 0.5898933361796438,582 "metrics": {583 "length_ratio": 0.927710843373494,584 "lexical_similarity": 0.4625436551069624,585 "semantic_similarity": 0.6790304183959961,586 "edit_similarity": 0.4337349397590361,587 "temperature": 0.4588 }589 },590 {591 "query": "turns",592 "class": "EXPERIMENTAL",593 "score": 0.6276644581961617,594 "metrics": {595 "length_ratio": 0.7643979057591623,596 "lexical_similarity": 0.7474073540060466,597 "semantic_similarity": 0.4483962059020996,598 "edit_similarity": 0.7382198952879582,599 "temperature": 1.8600 }601 },602 {603 "query": "question_id",604 "class": "CREATIVE",605 "score": 0.7962880129350551,606 "metrics": {607 "length_ratio": 0.9626865671641791,608 "lexical_similarity": 0.7687721282447993,609 "semantic_similarity": 0.7219767570495605,610 "edit_similarity": 0.9029850746268657,611 "temperature": 1.3612 }613 },614 {615 "query": "category",616 "class": "CREATIVE",617 "score": 0.5638053908346358,618 "metrics": {619 "length_ratio": 0.7150395778364116,620 "lexical_similarity": 0.30194764878258257,621 "semantic_similarity": 0.8301503658294678,622 "edit_similarity": 0.3482849604221636,623 "temperature": 1.3624 }625 },626 {627 "query": "cluster",628 "class": "BALANCED",629 "score": 0.5390568291920123,630 "metrics": {631 "length_ratio": 0.8282208588957055,632 "lexical_similarity": 0.19708130466865814,633 "semantic_similarity": 0.8547390699386597,634 "edit_similarity": 0.2760736196319018,635 "temperature": 0.7636 }637 },638 {639 "query": "turns",640 "class": "BALANCED",641 "score": 0.6928083000161823,642 "metrics": {643 "length_ratio": 0.7627118644067796,644 "lexical_similarity": 0.5455589242637945,645 "semantic_similarity": 0.8355634212493896,646 "edit_similarity": 0.5932203389830508,647 "temperature": 0.8648 }649 },650 {651 "query": "question_id",652 "class": "BALANCED",653 "score": 0.7369405163581465,654 "metrics": {655 "length_ratio": 0.967741935483871,656 "lexical_similarity": 0.6016628440019703,657 "semantic_similarity": 0.7701364159584045,658 "edit_similarity": 0.7580645161290323,659 "temperature": 0.8660 }661 },662 {663 "query": "cluster",664 "class": "EXPERIMENTAL",665 "score": 0.5882789402446619,666 "metrics": {667 "length_ratio": 0.582168995342648,668 "lexical_similarity": 0.4627415744249302,669 "semantic_similarity": 0.7974601984024048,670 "edit_similarity": 0.36127744510978044,671 "temperature": 1.8672 }673 },674 {675 "query": "category",676 "class": "EXPERIMENTAL",677 "score": 0.5111490015504628,678 "metrics": {679 "length_ratio": 0.4510250569476082,680 "lexical_similarity": 0.19619999404342842,681 "semantic_similarity": 0.8915425539016724,682 "edit_similarity": 0.25284738041002275,683 "temperature": 1.7684 }685 },686 {687 "query": "cluster",688 "class": "CREATIVE",689 "score": 0.6325282421394773,690 "metrics": {691 "length_ratio": 0.7060552616108172,692 "lexical_similarity": 0.4243040548957107,693 "semantic_similarity": 0.9210878610610962,694 "edit_similarity": 0.33098177542621987,695 "temperature": 1.2696 }697 },698 {699 "query": "turns",700 "class": "EXPERIMENTAL",701 "score": 0.6223449345383658,702 "metrics": {703 "length_ratio": 0.8837209302325582,704 "lexical_similarity": 0.35639229999036287,705 "semantic_similarity": 0.7304285764694214,706 "edit_similarity": 0.6744186046511628,707 "temperature": 1.8708 }709 },710 {711 "query": "question_id",712 "class": "BALANCED",713 "score": 0.5651620107348945,714 "metrics": {715 "length_ratio": 0.9788135593220338,716 "lexical_similarity": 0.46834818595050043,717 "semantic_similarity": 0.6580421924591064,718 "edit_similarity": 0.31779661016949157,719 "temperature": 0.7720 }721 },722 {723 "query": "category",724 "class": "BALANCED",725 "score": 0.5705156383010679,726 "metrics": {727 "length_ratio": 0.38084326306141153,728 "lexical_similarity": 0.44200475038427045,729 "semantic_similarity": 0.8811054229736328,730 "edit_similarity": 0.23693858845096238,731 "temperature": 0.8732 }733 },734 {735 "query": "question_id",736 "class": "FOCUSED",737 "score": 0.7889198980698481,738 "metrics": {739 "length_ratio": 0.9356060606060606,740 "lexical_similarity": 0.7679394032516998,741 "semantic_similarity": 0.7457770109176636,742 "edit_similarity": 0.8333333333333334,743 "temperature": 0.4744 }745 },746 {747 "query": "cluster",748 "class": "DETERMINISTIC",749 "score": 0.508526652447828,750 "metrics": {751 "length_ratio": 0.46613255644573925,752 "lexical_similarity": 0.3172656784183211,753 "semantic_similarity": 0.7864627838134766,754 "edit_similarity": 0.26074289876183543,755 "temperature": 0.1756 }757 },758 {759 "query": "question_id",760 "class": "FOCUSED",761 "score": 0.6297916254103437,762 "metrics": {763 "length_ratio": 0.946969696969697,764 "lexical_similarity": 0.44062006617142707,765 "semantic_similarity": 0.7553776502609253,766 "edit_similarity": 0.5037878787878788,767 "temperature": 0.3768 }769 },770 {771 "query": "category",772 "class": "BALANCED",773 "score": 0.5269887977096316,774 "metrics": {775 "length_ratio": 0.8418079096045198,776 "lexical_similarity": 0.18257106462844866,777 "semantic_similarity": 0.8020126223564148,778 "edit_similarity": 0.33615819209039544,779 "temperature": 0.7780 }781 },782 {783 "query": "cluster",784 "class": "DETERMINISTIC",785 "score": 0.5654228648909312,786 "metrics": {787 "length_ratio": 0.5463258785942492,788 "lexical_similarity": 0.42613544207274257,789 "semantic_similarity": 0.8141366243362427,790 "edit_similarity": 0.28647497337593186,791 "temperature": 0.1792 }793 },794 {795 "query": "turns",796 "class": "BALANCED",797 "score": 0.5710557139066229,798 "metrics": {799 "length_ratio": 0.9815668202764977,800 "lexical_similarity": 0.35909720506655163,801 "semantic_similarity": 0.7401136159896851,802 "edit_similarity": 0.34562211981566815,803 "temperature": 0.8804 }805 },806 {807 "query": "question_id",808 "class": "DETERMINISTIC",809 "score": 0.7703744083886733,810 "metrics": {811 "length_ratio": 0.9841269841269841,812 "lexical_similarity": 0.6944383154967662,813 "semantic_similarity": 0.7424088716506958,814 "edit_similarity": 0.8333333333333334,815 "temperature": 0.0816 }817 },818 {819 "query": "category",820 "class": "BALANCED",821 "score": 0.502751719530955,822 "metrics": {823 "length_ratio": 0.9140127388535032,824 "lexical_similarity": 0.12959865639408844,825 "semantic_similarity": 0.7592025995254517,826 "edit_similarity": 0.3439490445859873,827 "temperature": 0.8828 }829 },830 {831 "query": "cluster",832 "class": "DETERMINISTIC",833 "score": 0.5243601747712107,834 "metrics": {835 "length_ratio": 0.3927905531385954,836 "lexical_similarity": 0.4060733452578685,837 "semantic_similarity": 0.7860222458839417,838 "edit_similarity": 0.2442510876320696,839 "temperature": 0.1840 }841 },842 {843 "query": "question_id",844 "class": "DETERMINISTIC",845 "score": 0.8442031574659085,846 "metrics": {847 "length_ratio": 0.987012987012987,848 "lexical_similarity": 0.8388916689930075,849 "semantic_similarity": 0.7735469341278076,850 "edit_similarity": 0.922077922077922,851 "temperature": 0.0852 }853 },854 {855 "query": "cluster",856 "class": "BALANCED",857 "score": 1.0000000000000002,858 "metrics": {859 "length_ratio": 1.0,860 "lexical_similarity": 1.0000000000000007,861 "semantic_similarity": 1.0,862 "edit_similarity": 1.0,863 "temperature": 0.7864 }865 },866 {867 "query": "turns",868 "class": "DETERMINISTIC",869 "score": 0.6542316680572198,870 "metrics": {871 "length_ratio": 0.6138996138996139,872 "lexical_similarity": 0.6858816309021214,873 "semantic_similarity": 0.660743236541748,874 "edit_similarity": 0.6138996138996139,875 "temperature": 0.0876 }877 },878 {879 "query": "question_id",880 "class": "FOCUSED",881 "score": 0.536410181615325,882 "metrics": {883 "length_ratio": 0.801980198019802,884 "lexical_similarity": 0.4110083627966629,885 "semantic_similarity": 0.6540563106536865,886 "edit_similarity": 0.3564356435643564,887 "temperature": 0.4888 }889 },890 {891 "query": "category",892 "class": "DETERMINISTIC",893 "score": 0.5059794024003708,894 "metrics": {895 "length_ratio": 0.9699248120300752,896 "lexical_similarity": 0.2659192406559315,897 "semantic_similarity": 0.6294188499450684,898 "edit_similarity": 0.3872180451127819,899 "temperature": 0.0900 }901 },902 {903 "query": "turns",904 "class": "BALANCED",905 "score": 0.5489536312561427,906 "metrics": {907 "length_ratio": 0.48314606741573035,908 "lexical_similarity": 0.5797386715376658,909 "semantic_similarity": 0.5808385014533997,910 "edit_similarity": 0.4719101123595506,911 "temperature": 0.8912 }913 },914 {915 "query": "question_id",916 "class": "DETERMINISTIC",917 "score": 0.6633723542408219,918 "metrics": {919 "length_ratio": 0.8874458874458875,920 "lexical_similarity": 0.5215655569103778,921 "semantic_similarity": 0.7423649430274963,922 "edit_similarity": 0.6060606060606061,923 "temperature": 0.0924 }925 },926 {927 "query": "category",928 "class": "FOCUSED",929 "score": 0.530570243247463,930 "metrics": {931 "length_ratio": 0.8501228501228502,932 "lexical_similarity": 0.1878995490567389,933 "semantic_similarity": 0.8046655654907227,934 "edit_similarity": 0.33660933660933656,935 "temperature": 0.4936 }937 },938 {939 "query": "cluster",940 "class": "EXPERIMENTAL",941 "score": 0.5523564099441928,942 "metrics": {943 "length_ratio": 0.41881051175656986,944 "lexical_similarity": 0.40770354010450116,945 "semantic_similarity": 0.8457911014556885,946 "edit_similarity": 0.2492392807745505,947 "temperature": 1.8948 }949 },950 {951 "query": "question_id",952 "class": "DETERMINISTIC",953 "score": 0.5423848766548242,954 "metrics": {955 "length_ratio": 0.9134199134199135,956 "lexical_similarity": 0.452567776997351,957 "semantic_similarity": 0.6106922030448914,958 "edit_similarity": 0.35497835497835495,959 "temperature": 0.1960 }961 },962 {963 "query": "cluster",964 "class": "CREATIVE",965 "score": 0.6495408185729749,966 "metrics": {967 "length_ratio": 0.6657350475125768,968 "lexical_similarity": 0.5739214428396855,969 "semantic_similarity": 0.8866753578186035,970 "edit_similarity": 0.2806036892118502,971 "temperature": 1.3972 }973 },974 {975 "query": "question_id",976 "class": "BALANCED",977 "score": 0.8045161965597223,978 "metrics": {979 "length_ratio": 0.9312977099236641,980 "lexical_similarity": 0.7991350156337251,981 "semantic_similarity": 0.7611758708953857,982 "edit_similarity": 0.8358778625954199,983 "temperature": 0.8984 }985 },986 {987 "query": "turns",988 "class": "BALANCED",989 "score": 0.5098626435898719,990 "metrics": {991 "length_ratio": 0.937888198757764,992 "lexical_similarity": 0.27235315896952067,993 "semantic_similarity": 0.571944534778595,994 "edit_similarity": 0.5279503105590062,995 "temperature": 0.7996 }997 },998 {999 "query": "question_id",1000 "class": "CREATIVE",1001 "score": 0.9416599179539737,1002 "metrics": {1003 "length_ratio": 0.9841897233201581,1004 "lexical_similarity": 0.9239535357171462,1005 "semantic_similarity": 0.9269949197769165,1006 "edit_similarity": 0.9762845849802372,1007 "temperature": 1.21008 }1009 },1010 {1011 "query": "cluster",1012 "class": "CREATIVE",1013 "score": 0.6269419853960444,1014 "metrics": {1015 "length_ratio": 0.4363957597173145,1016 "lexical_similarity": 0.5827427138524662,1017 "semantic_similarity": 0.8705806136131287,1018 "edit_similarity": 0.3012367491166078,1019 "temperature": 1.21020 }1021 },1022 {1023 "query": "question_id",1024 "class": "DETERMINISTIC",1025 "score": 0.5423848766548242,1026 "metrics": {1027 "length_ratio": 0.9134199134199135,1028 "lexical_similarity": 0.452567776997351,1029 "semantic_similarity": 0.6106922030448914,1030 "edit_similarity": 0.35497835497835495,1031 "temperature": 0.11032 }1033 },1034 {1035 "query": "cluster",1036 "class": "EXPERIMENTAL",1037 "score": 0.524816568757205,1038 "metrics": {1039 "length_ratio": 0.919454770755886,1040 "lexical_similarity": 0.1594623575117294,1041 "semantic_similarity": 0.8374260663986206,1042 "edit_similarity": 0.25030978934324655,1043 "temperature": 1.71044 }1045 },1046 {1047 "query": "turns",1048 "class": "CREATIVE",1049 "score": 0.7133335427405003,1050 "metrics": {1051 "length_ratio": 0.9078341013824884,1052 "lexical_similarity": 0.6152186908963321,1053 "semantic_similarity": 0.806942880153656,1054 "edit_similarity": 0.5760368663594471,1055 "temperature": 1.31056 }1057 },1058 {1059 "query": "question_id",1060 "class": "DETERMINISTIC",1061 "score": 0.5680944510187977,1062 "metrics": {1063 "length_ratio": 0.8430232558139535,1064 "lexical_similarity": 0.40297190932887,1065 "semantic_similarity": 0.7066699862480164,1066 "edit_similarity": 0.40116279069767447,1067 "temperature": 0.01068 }1069 },1070 {1071 "query": "cluster",1072 "class": "DETERMINISTIC",1073 "score": 0.5169545988588834,1074 "metrics": {1075 "length_ratio": 0.3972809667673716,1076 "lexical_similarity": 0.33794349855728734,1077 "semantic_similarity": 0.8164968490600586,1078 "edit_similarity": 0.24622356495468278,1079 "temperature": 0.11080 }1081 },1082 {1083 "query": "turns",1084 "class": "BALANCED",1085 "score": 1.0,1086 "metrics": {1087 "length_ratio": 1.0,1088 "lexical_similarity": 1.0000000000000002,1089 "semantic_similarity": 1.0,1090 "edit_similarity": 1.0,1091 "temperature": 0.81092 }1093 },1094 {1095 "query": "question_id",1096 "class": "BALANCED",1097 "score": 0.6330361274813499,1098 "metrics": {1099 "length_ratio": 0.9435483870967742,1100 "lexical_similarity": 0.4035006033688616,1101 "semantic_similarity": 0.7154487371444702,1102 "edit_similarity": 0.657258064516129,1103 "temperature": 0.81104 }1105 },1106 {1107 "query": "category",1108 "class": "EXPERIMENTAL",1109 "score": 0.5258509484975656,1110 "metrics": {1111 "length_ratio": 0.8588754134509372,1112 "lexical_similarity": 0.18686982786706247,1113 "semantic_similarity": 0.834618330001831,1114 "edit_similarity": 0.2502756339581036,1115 "temperature": 1.71116 }1117 },1118 {1119 "query": "cluster",1120 "class": "FOCUSED",1121 "score": 0.5275091199550599,1122 "metrics": {1123 "length_ratio": 0.5924324324324325,1124 "lexical_similarity": 0.29099850282943013,1125 "semantic_similarity": 0.7999833822250366,1126 "edit_similarity": 0.30486486486486486,1127 "temperature": 0.41128 }1129 },1130 {1131 "query": "question_id",1132 "class": "BALANCED",1133 "score": 0.826544028274957,1134 "metrics": {1135 "length_ratio": 0.9774436090225563,1136 "lexical_similarity": 0.8460555273069104,1137 "semantic_similarity": 0.7288109064102173,1138 "edit_similarity": 0.9172932330827068,1139 "temperature": 0.81140 }1141 },1142 {1143 "query": "cluster",1144 "class": "FOCUSED",1145 "score": 0.527337376500564,1146 "metrics": {1147 "length_ratio": 0.27256317689530685,1148 "lexical_similarity": 0.44938249276283787,1149 "semantic_similarity": 0.814489483833313,1150 "edit_similarity": 0.19735258724428395,1151 "temperature": 0.31152 }1153 },1154 {1155 "query": "question_id",1156 "class": "BALANCED",1157 "score": 0.7619129112061984,1158 "metrics": {1159 "length_ratio": 0.9534883720930233,1160 "lexical_similarity": 0.7475652182703256,1161 "semantic_similarity": 0.6921150088310242,1162 "edit_similarity": 0.8272425249169435,1163 "temperature": 0.71164 }1165 },1166 {1167 "query": "category",1168 "class": "FOCUSED",1169 "score": 0.5008032808934237,1170 "metrics": {1171 "length_ratio": 0.9202279202279202,1172 "lexical_similarity": 0.13490669520561985,1173 "semantic_similarity": 0.765500545501709,1174 "edit_similarity": 0.3105413105413105,1175 "temperature": 0.31176 }1177 },1178 {1179 "query": "cluster",1180 "class": "EXPERIMENTAL",1181 "score": 0.5054570694944555,1182 "metrics": {1183 "length_ratio": 0.6860158311345647,1184 "lexical_similarity": 0.19855251326297316,1185 "semantic_similarity": 0.7981055974960327,1186 "edit_similarity": 0.29023746701846964,1187 "temperature": 1.71188 }1189 },1190 {1191 "query": "turns",1192 "class": "EXPERIMENTAL",1193 "score": 0.5707154624515312,1194 "metrics": {1195 "length_ratio": 0.7171717171717171,1196 "lexical_similarity": 0.4760060178327107,1197 "semantic_similarity": 0.5925114154815674,1198 "edit_similarity": 0.595959595959596,1199 "temperature": 1.81200 }