GA/SA 特徵篩選中文彙整報告

產生時間：2026-06-15 14:42:08
輸出資料夾：results\aggregate_resume_20260615_135013

主要指標快速比較

下表整理主要方法的平均 final AUC、fitness、平均選取特徵數與搜尋時間，方便快速判讀模型表現與特徵數 trade-off。平均選取特徵數是多個 seed/run 的平均，因此可能出現小數；單次 run 實際選到的特徵數仍然是整數。備註：Random Search 的搜尋次數跨 seed 不完全一致，seed 7 為 2400 次，seed 42/2026 為 5000 次。

λ 方法 seed 數 平均 final AUC AUC 標準差 平均 fitness 平均選取特徵數 特徵數標準差 平均搜尋秒數
0.00 AllSearchFeatures 3 0.8572 0.0046 0.8572 150.0 0.0 1.4
0.00 RandomSearch 3 0.8525 0.0031 0.8525 96.0 1.7 3119.2
0.00 SA 3 0.8524 0.0046 0.8524 79.3 5.9 3566.2
0.00 GA 3 0.8518 0.0059 0.8518 74.7 2.1 1595.7
0.05 GA 3 0.8510 0.0068 0.8341 50.7 5.0 1048.3
0.05 RandomSearch 3 0.8426 0.0047 0.8292 40.0 6.2 2191.1
0.05 SA 3 0.8502 0.0048 0.8279 67.0 7.5 2578.9
0.05 AllSearchFeatures 3 0.8572 0.0046 0.8072 150.0 0.0 1.0
0.10 GA 3 0.8472 0.0081 0.8217 38.3 6.8 995.3
0.10 RandomSearch 3 0.8379 0.0048 0.8170 31.3 1.2 2140.9
0.10 SA 3 0.8498 0.0080 0.8151 52.0 1.7 2358.3
0.10 AllSearchFeatures 3 0.8572 0.0046 0.7572 150.0 0.0 1.0
0.20 SA 3 0.8450 0.0087 0.8175 20.7 7.6 1975.3
0.20 GA 3 0.8464 0.0060 0.8166 22.3 1.2 929.0
0.20 RandomSearch 3 0.8358 0.0103 0.7990 27.7 2.3 2143.7
0.20 AllSearchFeatures 3 0.8572 0.0046 0.6572 150.0 0.0 1.0

實驗摘要

彙整指標

欄位中文說明：下表對應彙整指標的所有欄位。mean 是不同 seed/run 的平均值；std 是不同 seed/run 的標準差，用來看穩定性。

欄位 中文意思 用途
lambda λ 懲罰係數 控制特徵數懲罰強度；λ 越大，越偏好少特徵。
method 方法名稱 比較 GA、SA、RandomSearch、AllSearchFeatures、TopK_MI 等方法。
n_runs 彙整 run 數 代表該方法與 λ 組合納入幾個 seed/run；正式主要方法通常是 3。
final_cv_auc_mean 最終 5-fold CV 平均 AUC 特徵子集套用到完整 train_transaction 後的平均 AUC，越高越好。
final_cv_auc_std 最終 AUC 標準差 衡量不同 seed 的 final AUC 穩定性，越小代表越穩。
final_cv_fitness_mean 最終平均 fitness 以 final AUC 重新計算 AUC - λ × 選取特徵比例，用來看 trade-off。
final_cv_fitness_std 最終 fitness 標準差 衡量不同 seed 的 final fitness 穩定性，越小代表越穩。
selected_count_mean 平均選取特徵數 多個 seed/run 的選取特徵數平均值，可能是小數；單次 run 的 selected_count 仍是整數。
selected_count_std 選取特徵數標準差 衡量不同 seed 選到的特徵數是否穩定，越小代表數量越穩。
inner_auc_mean 搜尋階段平均 AUC 在 proxy dataset 搜尋特徵時的 inner CV AUC，不是最終完整資料 AUC。
inner_auc_std 搜尋階段 AUC 標準差 衡量不同 seed 在 proxy 搜尋階段的 AUC 穩定性。
seconds_mean 平均搜尋秒數 看方法花多少時間找到特徵子集。
lambda method n_runs final_cv_auc_mean final_cv_auc_std final_cv_fitness_mean final_cv_fitness_std selected_count_mean selected_count_std inner_auc_mean inner_auc_std seconds_mean
0.00 AllSearchFeatures 3 0.857152 0.004629 0.857152 0.004629 150.000000 0.000000 0.821708 0.006794 1.435716
0.00 RandomSearch 3 0.852486 0.003070 0.852486 0.003070 96.000000 1.732051 0.828370 0.007196 3119.239949
0.00 SA 3 0.852362 0.004553 0.852362 0.004553 79.333333 5.859465 0.832245 0.008066 3566.237398
0.00 GA 3 0.851783 0.005850 0.851783 0.005850 74.666667 2.081666 0.832661 0.008752 1595.666600
0.00 TopK_MI_86 1 0.817701 0.000000 0.817701 0.000000 86.000000 0.000000 0.780535 0.000000 0.539186
0.00 TopK_MI_73 1 0.815289 0.000000 0.815289 0.000000 73.000000 0.000000 0.766817 0.000000 0.928630
0.00 TopK_MI_74 1 0.801213 0.000000 0.801213 0.000000 74.000000 0.000000 0.762283 0.000000 0.490817
0.00 TopK_MI_77 2 0.785105 0.043260 0.785105 0.043260 77.000000 0.000000 0.754378 0.019565 0.722852
0.00 TopK_MI_75 1 0.754638 0.000000 0.754638 0.000000 75.000000 0.000000 0.743451 0.000000 0.490603
0.05 GA 3 0.851009 0.006776 0.834120 0.005229 50.666667 5.033223 0.832876 0.008285 1048.251266
0.05 RandomSearch 3 0.842557 0.004720 0.829224 0.005394 40.000000 6.244998 0.818610 0.006145 2191.099426
0.05 SA 3 0.850222 0.004774 0.827888 0.007226 67.000000 7.549834 0.830164 0.006373 2578.932774
0.05 AllSearchFeatures 3 0.857152 0.004629 0.807152 0.004629 150.000000 0.000000 0.821708 0.006794 1.015820
0.05 TopK_MI_68 1 0.812826 0.000000 0.790159 0.000000 68.000000 0.000000 0.771090 0.000000 0.839241
0.05 TopK_MI_50 1 0.794410 0.000000 0.777743 0.000000 50.000000 0.000000 0.753713 0.000000 0.661352
0.05 TopK_MI_74 1 0.801213 0.000000 0.776546 0.000000 74.000000 0.000000 0.762283 0.000000 0.482684
0.05 TopK_MI_46 1 0.779826 0.000000 0.764492 0.000000 46.000000 0.000000 0.735810 0.000000 0.380892
0.05 TopK_MI_59 1 0.748181 0.000000 0.728514 0.000000 59.000000 0.000000 0.736251 0.000000 0.418120
0.05 TopK_MI_56 1 0.744237 0.000000 0.725571 0.000000 56.000000 0.000000 0.728120 0.000000 0.415967
0.10 GA 3 0.847246 0.008142 0.821691 0.004152 38.333333 6.806859 0.830593 0.009029 995.318851
0.10 RandomSearch 3 0.837867 0.004816 0.816978 0.004932 31.333333 1.154701 0.816500 0.005658 2140.913613
0.10 SA 3 0.849766 0.008024 0.815099 0.009060 52.000000 1.732051 0.831954 0.009981 2358.284069
0.10 AllSearchFeatures 3 0.857152 0.004629 0.757152 0.004629 150.000000 0.000000 0.821708 0.006794 0.950037
0.10 TopK_MI_53 2 0.791105 0.003179 0.755772 0.003179 53.000000 0.000000 0.755104 0.004142 0.559467
0.10 TopK_MI_46 1 0.732822 0.000000 0.702156 0.000000 46.000000 0.000000 0.717222 0.000000 0.366519
0.10 TopK_MI_50 1 0.732844 0.000000 0.699511 0.000000 50.000000 0.000000 0.717389 0.000000 0.380415
0.10 TopK_MI_33 1 0.720575 0.000000 0.698575 0.000000 33.000000 0.000000 0.694756 0.000000 0.352401
0.10 TopK_MI_36 1 0.715738 0.000000 0.691738 0.000000 36.000000 0.000000 0.692863 0.000000 0.566967
0.20 SA 3 0.845032 0.008697 0.817476 0.002335 20.666667 7.637626 0.828565 0.009410 1975.327221
0.20 GA 3 0.846360 0.006050 0.816582 0.006828 22.333333 1.154701 0.828725 0.008346 929.008265
0.20 RandomSearch 3 0.835840 0.010283 0.798952 0.008189 27.666667 2.309401 0.811885 0.005211 2143.715624
0.20 TopK_MI_29 1 0.715271 0.000000 0.676604 0.000000 29.000000 0.000000 0.696476 0.000000 0.538306
0.20 TopK_MI_14 1 0.691117 0.000000 0.672450 0.000000 14.000000 0.000000 0.682715 0.000000 0.307748
0.20 TopK_MI_19 1 0.694617 0.000000 0.669284 0.000000 19.000000 0.000000 0.689543 0.000000 0.291698
0.20 TopK_MI_21 1 0.696223 0.000000 0.668223 0.000000 21.000000 0.000000 0.688588 0.000000 0.294774
0.20 TopK_MI_23 2 0.696101 0.000370 0.665434 0.000370 23.000000 0.000000 0.673896 0.012783 0.441347
0.20 AllSearchFeatures 3 0.857152 0.004629 0.657152 0.004629 150.000000 0.000000 0.821708 0.006794 0.960061

GA/SA 特徵重疊

lambda n_runs ga_features_mean sa_features_mean overlap_mean jaccard_mean jaccard_std
0.00 3 74.666667 79.333333 46.000000 0.426154 0.009256
0.05 3 50.666667 67.000000 26.000000 0.283814 0.024498
0.10 3 38.333333 52.000000 18.333333 0.255482 0.024910
0.20 3 22.333333 20.666667 8.666667 0.250721 0.050724

報告圖表

以下四張圖皆為 seed 42 的代表性 run，用來讓報告流程更容易閱讀；multi-seed 穩定性與正式平均結論請以上方彙整表的 mean/std 為準。

01_convergence.png
收斂曲線比較：seed 42 的代表性 run。x 軸正規化為搜尋進度百分比，方便比較 GA 60 generations 與 SA 5000 iterations 的搜尋趨勢。
02_feature_importance_selection.png
特徵重要性與選取狀態：seed 42 的代表性 run。左側為 Mutual Information 前 30 名特徵；右側色塊代表 GA/SA 是否選中該特徵。
03_pareto_auc_vs_features.png
Pareto Front：seed 42 的代表性 run。呈現 final CV AUC 與選取特徵數的取捨，標示 GA、SA、Random Search、All Features 與 Top-K MI baseline。
04_lambda_sensitivity.png
Lambda 敏感度分析：seed 42 的代表性 run。比較 λ 增加時，AUC 與選取特徵數如何變化。

完整指標明細

mask_bits 是程式內部用來重建 150 維 binary feature mask 的原始紀錄。本 HTML 為了可讀性不顯示該欄，完整欄位仍保留在 all_metrics.csv。

method lambda fitness auc selected_count selected_ratio seconds model_fits_so_far final_cv_auc final_cv_fitness final_cv_seconds final_cv_folds run_dir preset seed mode device rows search_features
AllSearchFeatures 0.00 0.820283 0.820283 150 1.000000 1.289571 5 0.861017 0.861017 35.601308 5 results\run_20260614_123407 word_strict 7 real cpu 20000 150
RandomSearch 0.00 0.827932 0.827932 95 0.633333 1633.323582 12010 0.851320 0.851320 22.524895 5 results\run_20260614_123407 word_strict 7 real cpu 20000 150
GA 0.00 0.832117 0.832117 73 0.486667 1893.604065 20435 0.854143 0.854143 18.669066 5 results\run_20260614_123407 word_strict 7 real cpu 20000 150
SA 0.00 0.831822 0.831822 77 0.513333 5560.165502 40985 0.851006 0.851006 19.351714 5 results\run_20260614_123407 word_strict 7 real cpu 20000 150
TopK_MI_73 0.00 0.766817 0.766817 73 0.486667 0.928630 40990 0.815289 0.815289 18.447696 5 results\run_20260614_123407 word_strict 7 real cpu 20000 150
TopK_MI_77 0.00 0.768213 0.768213 77 0.513333 0.961401 40995 0.815695 0.815695 18.999556 5 results\run_20260614_123407 word_strict 7 real cpu 20000 150
AllSearchFeatures 0.05 0.770283 0.820283 150 1.000000 1.505587 5 0.861017 0.811017 29.845850 5 results\run_20260614_123407 word_strict 7 real cpu 20000 150
RandomSearch 0.05 0.804176 0.815843 35 0.233333 1915.886641 12010 0.839138 0.827471 13.163565 5 results\run_20260614_123407 word_strict 7 real cpu 20000 150
GA 0.05 0.818013 0.834680 50 0.333333 1442.644653 21330 0.852799 0.836132 15.547732 5 results\run_20260614_123407 word_strict 7 real cpu 20000 150
SA 0.05 0.809561 0.832228 68 0.453333 3530.764651 41930 0.851133 0.828466 17.441116 5 results\run_20260614_123407 word_strict 7 real cpu 20000 150
TopK_MI_50 0.05 0.737047 0.753713 50 0.333333 0.661352 41935 0.794410 0.777743 15.153554 5 results\run_20260614_123407 word_strict 7 real cpu 20000 150
TopK_MI_68 0.05 0.748424 0.771090 68 0.453333 0.839241 41940 0.812826 0.790159 17.511711 5 results\run_20260614_123407 word_strict 7 real cpu 20000 150
AllSearchFeatures 0.10 0.720283 0.820283 150 1.000000 1.321151 5 0.861017 0.761017 29.809303 5 results\run_20260614_123407 word_strict 7 real cpu 20000 150
RandomSearch 0.10 0.799127 0.820460 32 0.213333 1899.904834 12010 0.842468 0.821135 12.946136 5 results\run_20260614_123407 word_strict 7 real cpu 20000 150
GA 0.10 0.807551 0.831551 36 0.240000 1367.174216 21325 0.847617 0.823617 13.537870 5 results\run_20260614_123407 word_strict 7 real cpu 20000 150
SA 0.10 0.795189 0.830522 53 0.353333 3074.436899 41960 0.849426 0.814093 15.772480 5 results\run_20260614_123407 word_strict 7 real cpu 20000 150
TopK_MI_36 0.10 0.668863 0.692863 36 0.240000 0.566967 41965 0.715738 0.691738 12.386054 5 results\run_20260614_123407 word_strict 7 real cpu 20000 150
TopK_MI_53 0.10 0.716842 0.752175 53 0.353333 0.704307 41970 0.793353 0.758020 15.538990 5 results\run_20260614_123407 word_strict 7 real cpu 20000 150
AllSearchFeatures 0.20 0.620283 0.820283 150 1.000000 1.296132 5 0.861017 0.661017 29.510713 5 results\run_20260614_123407 word_strict 7 real cpu 20000 150
RandomSearch 0.20 0.777152 0.815819 29 0.193333 1856.093814 12010 0.847032 0.808365 12.590653 5 results\run_20260614_123407 word_strict 7 real cpu 20000 150
GA 0.20 0.798372 0.829038 23 0.153333 1266.799777 21285 0.850438 0.819771 11.517586 5 results\run_20260614_123407 word_strict 7 real cpu 20000 150
SA 0.20 0.790520 0.829187 29 0.193333 2833.670757 41755 0.853721 0.815054 12.868450 5 results\run_20260614_123407 word_strict 7 real cpu 20000 150
TopK_MI_23 0.20 0.634191 0.664858 23 0.153333 0.561603 41760 0.695839 0.665172 10.768743 5 results\run_20260614_123407 word_strict 7 real cpu 20000 150
TopK_MI_29 0.20 0.657809 0.696476 29 0.193333 0.538306 41765 0.715271 0.676604 12.029159 5 results\run_20260614_123407 word_strict 7 real cpu 20000 150
AllSearchFeatures 0.00 0.829101 0.829101 150 1.000000 2.277140 5 0.858419 0.858419 21.860127 5 results\run_20260615_005758 word_strict 42 real cpu 20000 150
RandomSearch 0.00 0.835775 0.835775 95 0.633333 5445.093925 25010 0.855968 0.855968 16.822769 5 results\run_20260615_005758 word_strict 42 real cpu 20000 150
GA 0.00 0.841673 0.841673 77 0.513333 2035.057013 34165 0.856084 0.856084 14.328981 5 results\run_20260615_005758 word_strict 42 real cpu 20000 150
SA 0.00 0.840514 0.840514 75 0.500000 2804.735286 55985 0.857439 0.857439 14.026376 5 results\run_20260615_005758 word_strict 42 real cpu 20000 150
TopK_MI_75 0.00 0.743451 0.743451 75 0.500000 0.490603 55990 0.754638 0.754638 12.827205 5 results\run_20260615_005758 word_strict 42 real cpu 20000 150
TopK_MI_77 0.00 0.740543 0.740543 77 0.513333 0.484302 55995 0.754516 0.754516 13.135277 5 results\run_20260615_005758 word_strict 42 real cpu 20000 150
AllSearchFeatures 0.05 0.779101 0.829101 150 1.000000 0.782097 5 0.858419 0.808419 22.247340 5 results\run_20260615_005758 word_strict 42 real cpu 20000 150
RandomSearch 0.05 0.812986 0.825652 38 0.253333 2380.778550 25010 0.847943 0.835276 10.070825 5 results\run_20260615_005758 word_strict 42 real cpu 20000 150
GA 0.05 0.821445 0.840112 56 0.373333 872.445498 34235 0.856710 0.838044 12.709998 5 results\run_20260615_005758 word_strict 42 real cpu 20000 150
SA 0.05 0.815583 0.835250 59 0.393333 1952.536822 54985 0.854475 0.834808 12.500246 5 results\run_20260615_005758 word_strict 42 real cpu 20000 150
TopK_MI_56 0.05 0.709453 0.728120 56 0.373333 0.415967 54990 0.744237 0.725571 10.772313 5 results\run_20260615_005758 word_strict 42 real cpu 20000 150
TopK_MI_59 0.05 0.716584 0.736251 59 0.393333 0.418120 54995 0.748181 0.728514 11.098866 5 results\run_20260615_005758 word_strict 42 real cpu 20000 150
AllSearchFeatures 0.10 0.729101 0.829101 150 1.000000 0.762952 5 0.858419 0.758419 22.214502 5 results\run_20260615_005758 word_strict 42 real cpu 20000 150
RandomSearch 0.10 0.799021 0.819021 30 0.200000 2270.745073 25010 0.838271 0.818271 9.345830 5 results\run_20260615_005758 word_strict 42 real cpu 20000 150
GA 0.10 0.808438 0.839105 46 0.306667 847.639914 34350 0.855197 0.824530 11.065020 5 results\run_20260615_005758 word_strict 42 real cpu 20000 150
SA 0.10 0.809241 0.842574 50 0.333333 2061.693181 55590 0.857954 0.824621 11.717235 5 results\run_20260615_005758 word_strict 42 real cpu 20000 150
TopK_MI_46 0.10 0.686556 0.717222 46 0.306667 0.366519 55595 0.732822 0.702156 9.910312 5 results\run_20260615_005758 word_strict 42 real cpu 20000 150
TopK_MI_50 0.10 0.684055 0.717389 50 0.333333 0.380415 55600 0.732844 0.699511 10.129000 5 results\run_20260615_005758 word_strict 42 real cpu 20000 150
AllSearchFeatures 0.20 0.629101 0.829101 150 1.000000 0.833577 5 0.858419 0.658419 22.210192 5 results\run_20260615_005758 word_strict 42 real cpu 20000 150
RandomSearch 0.20 0.780527 0.813861 25 0.166667 2281.574062 25010 0.826810 0.793477 8.414870 5 results\run_20260615_005758 word_strict 42 real cpu 20000 150
GA 0.20 0.808910 0.836910 21 0.140000 735.033298 34190 0.849232 0.821232 8.327796 5 results\run_20260615_005758 word_strict 42 real cpu 20000 150
SA 0.20 0.812315 0.837649 19 0.126667 1523.360848 55280 0.845047 0.819714 8.398041 5 results\run_20260615_005758 word_strict 42 real cpu 20000 150
TopK_MI_19 0.20 0.664209 0.689543 19 0.126667 0.291698 55285 0.694617 0.669284 7.623240 5 results\run_20260615_005758 word_strict 42 real cpu 20000 150
TopK_MI_21 0.20 0.660588 0.688588 21 0.140000 0.294774 55290 0.696223 0.668223 7.785719 5 results\run_20260615_005758 word_strict 42 real cpu 20000 150
AllSearchFeatures 0.00 0.815739 0.815739 150 1.000000 0.740439 5 0.852022 0.852022 24.074208 5 results\run_20260615_080345 word_strict 2026 real cpu 20000 150
RandomSearch 0.00 0.821404 0.821404 98 0.653333 2279.302340 25010 0.850171 0.850171 17.134704 5 results\run_20260615_080345 word_strict 2026 real cpu 20000 150
GA 0.00 0.824194 0.824194 74 0.493333 858.338722 33360 0.845121 0.845121 14.051007 5 results\run_20260615_080345 word_strict 2026 real cpu 20000 150
SA 0.00 0.824399 0.824399 86 0.573333 2333.811405 54275 0.848641 0.848641 15.359244 5 results\run_20260615_080345 word_strict 2026 real cpu 20000 150
TopK_MI_74 0.00 0.762283 0.762283 74 0.493333 0.490817 54280 0.801213 0.801213 13.373376 5 results\run_20260615_080345 word_strict 2026 real cpu 20000 150
TopK_MI_86 0.00 0.780535 0.780535 86 0.573333 0.539186 54285 0.817701 0.817701 14.545450 5 results\run_20260615_080345 word_strict 2026 real cpu 20000 150
AllSearchFeatures 0.05 0.765739 0.815739 150 1.000000 0.759775 5 0.852022 0.802022 22.821642 5 results\run_20260615_080345 word_strict 2026 real cpu 20000 150
RandomSearch 0.05 0.798668 0.814335 47 0.313333 2276.633085 25010 0.840590 0.824924 10.853663 5 results\run_20260615_080345 word_strict 2026 real cpu 20000 150
GA 0.05 0.808504 0.823838 46 0.306667 829.663646 33940 0.843518 0.828185 10.684203 5 results\run_20260615_080345 word_strict 2026 real cpu 20000 150
SA 0.05 0.798349 0.823015 74 0.493333 2253.496849 55645 0.845057 0.820391 14.000937 5 results\run_20260615_080345 word_strict 2026 real cpu 20000 150
TopK_MI_46 0.05 0.720477 0.735810 46 0.306667 0.380892 55650 0.779826 0.764492 10.491051 5 results\run_20260615_080345 word_strict 2026 real cpu 20000 150
TopK_MI_74 0.05 0.737616 0.762283 74 0.493333 0.482684 55655 0.801213 0.776546 13.587636 5 results\run_20260615_080345 word_strict 2026 real cpu 20000 150
AllSearchFeatures 0.10 0.715739 0.815739 150 1.000000 0.766007 5 0.852022 0.752022 25.728929 5 results\run_20260615_080345 word_strict 2026 real cpu 20000 150
RandomSearch 0.10 0.788687 0.810021 32 0.213333 2252.090931 25010 0.832862 0.811529 10.037983 5 results\run_20260615_080345 word_strict 2026 real cpu 20000 150
GA 0.10 0.799123 0.821123 33 0.220000 771.142422 34400 0.838925 0.816925 9.529392 5 results\run_20260615_080345 word_strict 2026 real cpu 20000 150
SA 0.10 0.787433 0.822767 53 0.353333 1938.722127 55630 0.841918 0.806584 11.427672 5 results\run_20260615_080345 word_strict 2026 real cpu 20000 150
TopK_MI_33 0.10 0.672756 0.694756 33 0.220000 0.352401 55635 0.720575 0.698575 9.282316 5 results\run_20260615_080345 word_strict 2026 real cpu 20000 150
TopK_MI_53 0.10 0.722699 0.758033 53 0.353333 0.414628 55640 0.788857 0.753524 11.274079 5 results\run_20260615_080345 word_strict 2026 real cpu 20000 150
AllSearchFeatures 0.20 0.615739 0.815739 150 1.000000 0.750475 5 0.852022 0.652022 22.643001 5 results\run_20260615_080345 word_strict 2026 real cpu 20000 150
RandomSearch 0.20 0.767308 0.805974 29 0.193333 2293.478997 25010 0.833680 0.795013 9.170396 5 results\run_20260615_080345 word_strict 2026 real cpu 20000 150
GA 0.20 0.789561 0.820227 23 0.153333 785.191719 34655 0.839409 0.808742 8.261331 5 results\run_20260615_080345 word_strict 2026 real cpu 20000 150
SA 0.20 0.800193 0.818860 14 0.093333 1568.950059 56005 0.836327 0.817660 7.378187 5 results\run_20260615_080345 word_strict 2026 real cpu 20000 150
TopK_MI_14 0.20 0.664048 0.682715 14 0.093333 0.307748 56010 0.691117 0.672450 7.615481 5 results\run_20260615_080345 word_strict 2026 real cpu 20000 150
TopK_MI_23 0.20 0.652268 0.682935 23 0.153333 0.321092 56015 0.696362 0.665696 7.915049 5 results\run_20260615_080345 word_strict 2026 real cpu 20000 150