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Complete standalone final deliverable and unaligned Q2 results

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gloamxun
2026-09-25 22:22:37 +08:00
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final/output/q1/model_comparison/fold_metrics.csv
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method,fold,train_samples,valid_samples,train_video_groups,valid_video_groups,feature_dimension,accuracy,macro_f1,mae,rmse,pearson
B0,1,80,20,31,6,4385,0.75,0.29411764705882354,0.40008344650268557,0.5260719631531688,0.4282455508385404
B1,1,80,20,31,6,4385,0.75,0.29411764705882354,0.404778890311718,0.5102545703340213,0.5025732055401765
B2,1,80,20,31,6,4385,0.75,0.29411764705882354,0.40554874762892723,0.49635824914543497,0.5251573968087152
B3,1,80,20,31,6,4455,0.75,0.29411764705882354,0.40047709345817567,0.5227381465621478,0.4534944334978189
B4,1,80,20,31,6,8225,0.8,0.41414141414141414,0.38890780285000803,0.5048429758830633,0.4807784199544402
B0,2,80,20,30,7,4385,0.55,0.24444444444444444,0.7141662366688252,0.9440543822968819,0.5724797760279744
B1,2,80,20,30,7,4385,0.6,0.25806451612903225,0.6969431169331074,0.9408874723828916,0.5447256164038773
B2,2,80,20,30,7,4385,0.55,0.2528735632183908,0.6819145023822785,0.9246026596165687,0.5890930594687094
B3,2,80,20,30,7,4455,0.6,0.25806451612903225,0.6838106364011765,0.9468942310321677,0.5641169095393826
B4,2,80,20,30,7,8225,0.6,0.25,0.7017564930021762,0.9729294282855592,0.4758061583115507
B0,3,80,20,29,8,4385,0.7,0.5119047619047619,0.6603802375495433,0.9513343469769703,0.45764170673589194
B1,3,80,20,29,8,4385,0.65,0.44334975369458124,0.6796137057244778,0.9683893550579586,0.44885212546141806
B2,3,80,20,29,8,4385,0.6,0.35555555555555557,0.6889978893101215,0.976480331076424,0.439491261114543
B3,3,80,20,29,8,4455,0.65,0.44334975369458124,0.6552760511636734,0.9455118520762318,0.4613521776727222
B4,3,80,20,29,8,8225,0.55,0.42124542124542125,0.6998446479439735,0.9910488675160706,0.3308335519309645
B0,4,80,20,29,8,4385,0.4,0.19047619047619047,0.5209357619285584,0.6349209086686575,0.5599141805979567
B1,4,80,20,29,8,4385,0.4,0.19047619047619047,0.48845834359526635,0.6251263063549318,0.5318831725972442
B2,4,80,20,29,8,4385,0.35,0.1728395061728395,0.4634488061070442,0.5914937349952397,0.668684620535319
B3,4,80,20,29,8,4455,0.4,0.19047619047619047,0.46604466289281843,0.6048342377796782,0.5952425112526142
B4,4,80,20,29,8,8225,0.4,0.19753086419753085,0.5084194637835026,0.6563628690043487,0.37663363321003157
B0,5,80,20,29,8,4385,0.55,0.2716049382716049,0.37715052589774134,0.45447725529164684,0.5710195020891593
B1,5,80,20,29,8,4385,0.45,0.23076923076923075,0.40117334108799696,0.5444501639716764,0.4872775768898111
B2,5,80,20,29,8,4385,0.5,0.25641025641025644,0.4142819085158408,0.5392921999529835,0.5122242418745627
B3,5,80,20,29,8,4455,0.45,0.23076923076923075,0.39545949064195157,0.5357820607883065,0.504060150628863
B4,5,80,20,29,8,8225,0.65,0.4444444444444445,0.3974805472418666,0.5429541172152239,0.4754503171077047
1 method fold train_samples valid_samples train_video_groups valid_video_groups feature_dimension accuracy macro_f1 mae rmse pearson
2 B0 1 80 20 31 6 4385 0.75 0.29411764705882354 0.40008344650268557 0.5260719631531688 0.4282455508385404
3 B1 1 80 20 31 6 4385 0.75 0.29411764705882354 0.404778890311718 0.5102545703340213 0.5025732055401765
4 B2 1 80 20 31 6 4385 0.75 0.29411764705882354 0.40554874762892723 0.49635824914543497 0.5251573968087152
5 B3 1 80 20 31 6 4455 0.75 0.29411764705882354 0.40047709345817567 0.5227381465621478 0.4534944334978189
6 B4 1 80 20 31 6 8225 0.8 0.41414141414141414 0.38890780285000803 0.5048429758830633 0.4807784199544402
7 B0 2 80 20 30 7 4385 0.55 0.24444444444444444 0.7141662366688252 0.9440543822968819 0.5724797760279744
8 B1 2 80 20 30 7 4385 0.6 0.25806451612903225 0.6969431169331074 0.9408874723828916 0.5447256164038773
9 B2 2 80 20 30 7 4385 0.55 0.2528735632183908 0.6819145023822785 0.9246026596165687 0.5890930594687094
10 B3 2 80 20 30 7 4455 0.6 0.25806451612903225 0.6838106364011765 0.9468942310321677 0.5641169095393826
11 B4 2 80 20 30 7 8225 0.6 0.25 0.7017564930021762 0.9729294282855592 0.4758061583115507
12 B0 3 80 20 29 8 4385 0.7 0.5119047619047619 0.6603802375495433 0.9513343469769703 0.45764170673589194
13 B1 3 80 20 29 8 4385 0.65 0.44334975369458124 0.6796137057244778 0.9683893550579586 0.44885212546141806
14 B2 3 80 20 29 8 4385 0.6 0.35555555555555557 0.6889978893101215 0.976480331076424 0.439491261114543
15 B3 3 80 20 29 8 4455 0.65 0.44334975369458124 0.6552760511636734 0.9455118520762318 0.4613521776727222
16 B4 3 80 20 29 8 8225 0.55 0.42124542124542125 0.6998446479439735 0.9910488675160706 0.3308335519309645
17 B0 4 80 20 29 8 4385 0.4 0.19047619047619047 0.5209357619285584 0.6349209086686575 0.5599141805979567
18 B1 4 80 20 29 8 4385 0.4 0.19047619047619047 0.48845834359526635 0.6251263063549318 0.5318831725972442
19 B2 4 80 20 29 8 4385 0.35 0.1728395061728395 0.4634488061070442 0.5914937349952397 0.668684620535319
20 B3 4 80 20 29 8 4455 0.4 0.19047619047619047 0.46604466289281843 0.6048342377796782 0.5952425112526142
21 B4 4 80 20 29 8 8225 0.4 0.19753086419753085 0.5084194637835026 0.6563628690043487 0.37663363321003157
22 B0 5 80 20 29 8 4385 0.55 0.2716049382716049 0.37715052589774134 0.45447725529164684 0.5710195020891593
23 B1 5 80 20 29 8 4385 0.45 0.23076923076923075 0.40117334108799696 0.5444501639716764 0.4872775768898111
24 B2 5 80 20 29 8 4385 0.5 0.25641025641025644 0.4142819085158408 0.5392921999529835 0.5122242418745627
25 B3 5 80 20 29 8 4455 0.45 0.23076923076923075 0.39545949064195157 0.5357820607883065 0.504060150628863
26 B4 5 80 20 29 8 8225 0.65 0.4444444444444445 0.3974805472418666 0.5429541172152239 0.4754503171077047