Competition Results

Rank Team/User Name Overall Score Method Name PRAUC Retweet RCE Retweet PRAUC Reply RCE Reply PRAUC Like RCE Like PRAUC RT with comment RCE RT with comment
1 NVIDIA RAPIDS.AI 9 rapids.ai v2 0.6111 37.91 0.2185 24.23 0.9108 53.01 0.0796 17.40
2 learner 14 Layer 6 AI 0.5395 30.96 0.2218 21.94 0.7761 25.42 0.0757 14.61
3 Team Wantedly 18 Team Wantedly 0.5266 30.06 0.1918 20.44 0.7716 24.76 0.0724 14.86
4 learner_recsys 20 ffm+sgd+prior+embeddings 0.4529 22.50 0.1161 10.42 0.7221 18.28 0.5037 -0.04
4 BanaNeverAlone 20 last_test_sub_2 0.5042 27.21 0.1850 18.71 0.7531 21.20 0.1237 8.34
4 AskMiso & CLIP 20 askmiso & CLIP v1 0.5135 28.57 0.2069 21.09 0.7650 23.65 0.0644 12.79
5 wsm_LLLLL 21 Method 1: Expected + Tweet 0.5516 -0.04 0.5135 -0.02 0.6666 3.52 0.5037 -0.05
6 POLINKS 22 baseline 0.5516 -0.03 0.5135 -0.05 0.7131 -0.00 0.5037 -0.00
6 Los Trinadores 22 factored.ai Golduck 0.3673 16.93 0.5135 -0.04 0.7310 20.09 0.5037 -0.00
7 Better 23 Better 0.4992 26.98 0.1879 19.35 0.7484 21.17 0.0623 12.10
8 myaunraitau 27 myaunraitau 0.4916 25.65 0.1622 16.76 0.7387 19.74 0.0523 9.82
9 Not_Last_Place 28 last-combined 0.4891 21.80 0.1761 18.60 0.7511 17.64 0.0516 10.30
10 narsil 29 quite random 0.4865 24.21 0.1570 14.98 0.7464 20.01 0.0527 9.23
11 Chilling 30 AI 0.3088 12.33 0.1137 11.82 0.6602 12.70 0.5037 -0.04
12 stathisch 34 Basic NN 0.4370 21.22 0.1293 13.83 0.7199 17.58 0.0309 6.43
13 Marysia 35 sample method 0.3232 11.81 0.1116 8.79 0.6038 6.65 0.5037 -0.00
14 rly 36 rforestbaseline 0.5516 -401.05 0.5135 -250.74 0.6161 -785.57 0.5037 -172.49
15 kagurazaka 38 gb_topic 0.3644 14.43 0.1175 12.33 0.6940 11.69 0.0242 5.34
16 SCK 40 v12 0.3617 15.23 0.0983 9.70 0.6831 12.99 0.0276 5.68
17 adamborondy 41 RandomForestBaseline 0.5516 -401.05 0.5135 -250.74 0.5670 -883.45 0.5037 -172.49
17 stefanh 41 SVM Stacked Features 0.5516 -401.05 0.5135 -250.74 0.5636 -863.65 0.5037 -172.49
18 websta 42 random_forest_top50_ch2_text_tokens 0.2980 -401.97 0.5135 -250.74 0.6557 -834.35 0.5037 -172.49
19 Yang 44 Sbm0603A1 0.3078 12.45 0.0963 10.70 0.6639 13.34 0.0219 5.33
20 zxcvxd 46 lgbm 0.2856 11.03 0.0939 10.27 0.6722 14.00 0.0224 5.27
21 marwin 51 mlp 0.2865 -403.43 0.3672 -4558.49 0.6304 -757.46 0.5037 -172.49
22 DIC6 55 nd-rf 0.4229 -2052.13 0.3899 -5296.73 0.6180 -807.71 0.2019 -8872.35
22 DLUN.no 55 xgboostV2 0.4131 -401.95 0.1770 -277.93 0.6716 -750.15 0.0850 -178.92
22 D2klab 55 d2klab_a 0.2924 5.95 0.0789 0.25 0.6145 0.37 0.0186 -11.40
23 DanielBugl 56 content-based 0.2930 -403.28 0.5135 -250.74 0.6191 -807.11 0.0037 -172.57
24 Frrosta 58 ALS with RF fallback 0.3925 -63.33 0.0908 -98.25 0.6559 -43.49 0.0191 -107.92
25 sko 59 train1m 0.1356 0.15 0.0359 0.19 0.5726 2.79 0.0077 -0.01
26 MaximeHeuillet 60 Maxi!meHeuillet 0.2709 1.01 0.0610 -4.19 0.5900 -13.59 0.0180 -4.79
26 advtech 60 ensemble2 0.1339 -0.07 0.0627 4.99 0.5529 -3.96 0.0097 -4.11
27 gabrielcrds 62 single_mnb 0.1354 -5.44 0.0615 2.24 0.5696 -3.18 0.0103 -10.16
28 HAIR 63 RecNet 0.3115 10.90 0.0979 9.99 0.4466 -219.18 0.0182 3.27
28 saaay71 63 gbt_classifier_ali 0.1703 2.67 0.0593 -6.27 0.5879 7.21 0.0099 -62.98
29 JKU-tweetFromHome 64 ParallelHybrid 0.2965 -60.94 0.0460 -162.30 0.6239 -194.83 0.0155 -97.88
29 ARMERYZ 64 ARCAv5-a 0.1118 -4.19 0.0561 -2.12 0.5540 0.89 0.0085 -1.48
30 doromboziandras 66 DIC - GROUP 07 - Logistic Regression 0.3670 -1433.27 0.0930 -351.68 0.6814 -757.67 0.0189 -175.01
31 f.gonzalez1899 68 Nerual Network Train 0 0.2035 -1401.54 0.2892 -3187.77 0.5785 -853.80 0.1676 -9482.38
32 Nilrem_Egam 71 DNN 0.1012 -13.99 0.0256 -89.46 0.5250 -224.12 0.0100 -7.30
33 kathiii 82 snn(jku-alpha) 0.1054 -135.34 0.0233 -244.93 0.4721 -6.33 0.0076 -4914.65
33 Fabian 82 Radnom Guess 0.1032 -201.11 0.0271 -703.81 0.4264 -46.57 0.0073 -2213.79
34 thomasschmied 86 baseline group 12 0.0779 -503.09 0.0176 -2766.86 0.3356 -10.03 0.0060 -11203.03