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加入实验输出（批次 13/14）

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gloamxun
2026-09-23 23:37:34 +08:00
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deep_learning/Q1/outputs/tsfa/ablation_summary.csv
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method,clip_count,video_id_count,content_auc_mean_video_macro_mean,content_auc_mean_ci95_low,content_auc_mean_ci95_high,canonical_pairwise_time_mae_mean_video_macro_mean,canonical_pairwise_time_mae_mean_ci95_low,canonical_pairwise_time_mae_mean_ci95_high,temporal_quality_1_minus_mae_video_macro_mean,temporal_quality_1_minus_mae_ci95_low,temporal_quality_1_minus_mae_ci95_high
M3_noSourceTime,100,37,0.7079247666486141,0.6981638469348909,0.7180669733515811,0.25125551939830126,0.24533393078354204,0.25730599312459385,0.7487444806016986,0.7429385193325527,0.7543707643381519
M3_sourceTime,100,37,0.5646895233632823,0.5540910611345894,0.5751509210736825,0.09874174948688212,0.08898600889351087,0.10906350604411601,0.9012582505131179,0.8909351143570293,0.9111176736631803
M4_sourceTime,100,37,0.5443730644271425,0.5314674094814167,0.556163600543299,0.06439514300291252,0.05872951511472842,0.069915719671434,0.9356048569970875,0.929956941099165,0.9411986290102992
TSFA-main,100,37,0.6265827216844504,0.6161616236415937,0.6364439680609562,0.0703286687392714,0.06460036690688006,0.07572429366463695,0.9296713312607287,0.9244517958993883,0.9352479536843178
TSFA-multiply,100,37,0.6266223446090468,0.6163471959183728,0.6367020258052505,0.06779188350752184,0.06251919458961656,0.07342671925523597,0.932208116492478,0.9266964480620523,0.9376652354766101
TSFA-random,100,37,0.6317354999281196,0.6245134023121242,0.6386649427182931,0.25069943769545594,0.2462397150003418,0.2551459569730119,0.7493005623045442,0.7451492641632237,0.7535130139973931
TSFA-global,100,37,0.6850667176168063,0.6715353281663122,0.6991479845315172,0.2432284738286704,0.23726117654439974,0.24953340198194693,0.7567715261713297,0.7508184770882113,0.7626622731375607
1 method clip_count video_id_count content_auc_mean_video_macro_mean content_auc_mean_ci95_low content_auc_mean_ci95_high canonical_pairwise_time_mae_mean_video_macro_mean canonical_pairwise_time_mae_mean_ci95_low canonical_pairwise_time_mae_mean_ci95_high temporal_quality_1_minus_mae_video_macro_mean temporal_quality_1_minus_mae_ci95_low temporal_quality_1_minus_mae_ci95_high
2 M3_noSourceTime 100 37 0.7079247666486141 0.6981638469348909 0.7180669733515811 0.25125551939830126 0.24533393078354204 0.25730599312459385 0.7487444806016986 0.7429385193325527 0.7543707643381519
3 M3_sourceTime 100 37 0.5646895233632823 0.5540910611345894 0.5751509210736825 0.09874174948688212 0.08898600889351087 0.10906350604411601 0.9012582505131179 0.8909351143570293 0.9111176736631803
4 M4_sourceTime 100 37 0.5443730644271425 0.5314674094814167 0.556163600543299 0.06439514300291252 0.05872951511472842 0.069915719671434 0.9356048569970875 0.929956941099165 0.9411986290102992
5 TSFA-main 100 37 0.6265827216844504 0.6161616236415937 0.6364439680609562 0.0703286687392714 0.06460036690688006 0.07572429366463695 0.9296713312607287 0.9244517958993883 0.9352479536843178
6 TSFA-multiply 100 37 0.6266223446090468 0.6163471959183728 0.6367020258052505 0.06779188350752184 0.06251919458961656 0.07342671925523597 0.932208116492478 0.9266964480620523 0.9376652354766101
7 TSFA-random 100 37 0.6317354999281196 0.6245134023121242 0.6386649427182931 0.25069943769545594 0.2462397150003418 0.2551459569730119 0.7493005623045442 0.7451492641632237 0.7535130139973931
8 TSFA-global 100 37 0.6850667176168063 0.6715353281663122 0.6991479845315172 0.2432284738286704 0.23726117654439974 0.24953340198194693 0.7567715261713297 0.7508184770882113 0.7626622731375607