Binary Classification on TALENT (test)
80.9Top-1 AccuracyTabICL
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| TabICLNumber of shots=512, Learning setting=In-context learning2025.09 | 80.9 | — | — | — | — | — | — | — | |
| TabICLNumber of shots=256, Learning setting=In-context learning2025.09 | 79.1 | — | — | — | — | — | — | — | |
| Random ForestNumber of shots=512, Learning setting=Not in-context learning2025.09 | 77.7 | — | — | — | — | — | — | — | |
| Random ForestNumber of shots=256, Learning setting=Not in-context learning2025.09 | 76.1 | — | — | — | — | — | — | — | |
| TabICLNumber of shots=128, Learning setting=In-context learning2025.09 | 76 | — | — | — | — | — | — | — | |
| MACHINELEARNINGLMNumber of shots=512, Learning setting=In-context learning, Backbone=Qwen-2.5-7B-Instruct2025.09 | 75.3 | — | — | — | — | — | — | — | |
| Random ForestNumber of shots=128, Learning setting=Not in-context learning2025.09 | 74.3 | — | — | — | — | — | — | — | |
| MACHINELEARNINGLMNumber of shots=256, Learning setting=In-context learning, Backbone=Qwen-2.5-7B-Instruct2025.09 | 74.3 | — | — | — | — | — | — | — | |
| TabICLNumber of shots=64, Learning setting=In-context learning2025.09 | 72.6 | — | — | — | — | — | — | — | |
| MACHINELEARNINGLMNumber of shots=128, Learning setting=In-context learning, Backbone=Qwen-2.5-7B-Instruct2025.09 | 72 | — | — | — | — | — | — | — | |
| Random ForestNumber of shots=64, Learning setting=Not in-context learning2025.09 | 71.4 | — | — | — | — | — | — | — | |
| KNNNumber of shots=512, Learning setting=Not in-context learning2025.09 | 71.1 | — | — | — | — | — | — | — | |
| MACHINELEARNINGLMNumber of shots=64, Learning setting=In-context learning, Backbone=Qwen-2.5-7B-Instruct2025.09 | 70 | — | — | — | — | — | — | — | |
| KNNNumber of shots=256, Learning setting=Not in-context learning2025.09 | 69.5 | — | — | — | — | — | — | — | |
| TabICLNumber of shots=32, Learning setting=In-context learning2025.09 | 68.6 | — | — | — | — | — | — | — | |
| KNNNumber of shots=128, Learning setting=Not in-context learning2025.09 | 68.1 | — | — | — | — | — | — | — | |
| Random ForestNumber of shots=32, Learning setting=Not in-context learning2025.09 | 68 | — | — | — | — | — | — | — | |
| MACHINELEARNINGLMNumber of shots=32, Learning setting=In-context learning, Backbone=Qwen-2.5-7B-Instruct2025.09 | 66.7 | — | — | — | — | — | — | — | |
| KNNNumber of shots=64, Learning setting=Not in-context learning2025.09 | 65.9 | — | — | — | — | — | — | — | |
| TabICLNumber of shots=16, Learning setting=In-context learning2025.09 | 64 | — | — | — | — | — | — | — | |
| Random ForestNumber of shots=16, Learning setting=Not in-context learning2025.09 | 63.5 | — | — | — | — | — | — | — | |
| KNNNumber of shots=32, Learning setting=Not in-context learning2025.09 | 63.4 | — | — | — | — | — | — | — | |
| MACHINELEARNINGLMNumber of shots=16, Learning setting=In-context learning, Backbone=Qwen-2.5-7B-Instruct2025.09 | 63.1 | — | — | — | — | — | — | — | |
| GPT-5 miniNumber of shots=512, Learning setting=In-context learning2025.09 | 62.5 | — | — | — | — | — | — | — | |
| GPT-5 miniNumber of shots=256, Learning setting=In-context learning2025.09 | 61.7 | — | — | — | — | — | — | — | |
| GPT-5 miniNumber of shots=128, Learning setting=In-context learning2025.09 | 61 | — | — | — | — | — | — | — | |
| GPT-5 miniNumber of shots=64, Learning setting=In-context learning2025.09 | 60.4 | — | — | — | — | — | — | — | |
| GPT-5 miniNumber of shots=32, Learning setting=In-context learning2025.09 | 60.2 | — | — | — | — | — | — | — | |
| KNNNumber of shots=16, Learning setting=Not in-context learning2025.09 | 60.1 | — | — | — | — | — | — | — | |
| Qwen-2.5-7B-InstructNumber of shots=512, Learning setting=In-context learning2025.09 | 60.1 | — | — | — | — | — | — | — | |
| GPT-5 miniNumber of shots=16, Learning setting=In-context learning2025.09 | 60 | — | — | — | — | — | — | — | |
| o3-miniNumber of shots=64, Learning setting=In-context learning2025.09 | 59.6 | — | — | — | — | — | — | — | |
| Qwen-2.5-7B-InstructNumber of shots=256, Learning setting=In-context learning2025.09 | 59.3 | — | — | — | — | — | — | — | |
| Random ForestNumber of shots=8, Learning setting=Not in-context learning2025.09 | 59.1 | — | — | — | — | — | — | — | |
| o3-miniNumber of shots=32, Learning setting=In-context learning2025.09 | 59 | — | — | — | — | — | — | — | |
| o3-miniNumber of shots=256, Learning setting=In-context learning2025.09 | 58.8 | — | — | — | — | — | — | — | |
| o3-miniNumber of shots=512, Learning setting=In-context learning2025.09 | 58.8 | — | — | — | — | — | — | — | |
| o3-miniNumber of shots=16, Learning setting=In-context learning2025.09 | 58.6 | — | — | — | — | — | — | — | |
| Qwen-2.5-7B-InstructNumber of shots=128, Learning setting=In-context learning2025.09 | 58.6 | — | — | — | — | — | — | — | |
| o3-miniNumber of shots=128, Learning setting=In-context learning2025.09 | 58.4 | — | — | — | — | — | — | — | |
| MACHINELEARNINGLMNumber of shots=8, Learning setting=In-context learning, Backbone=Qwen-2.5-7B-Instruct2025.09 | 58.4 | — | — | — | — | — | — | — | |
| GPT-5 miniNumber of shots=8, Learning setting=In-context learning2025.09 | 57.8 | — | — | — | — | — | — | — | |
| TabICLNumber of shots=8, Learning setting=In-context learning2025.09 | 57.4 | — | — | — | — | — | — | — | |
| Qwen-2.5-7B-InstructNumber of shots=64, Learning setting=In-context learning2025.09 | 57.2 | — | — | — | — | — | — | — | |
| o3-miniNumber of shots=8, Learning setting=In-context learning2025.09 | 57 | — | — | — | — | — | — | — | |
| Qwen-2.5-7B-InstructNumber of shots=32, Learning setting=In-context learning2025.09 | 55.6 | — | — | — | — | — | — | — | |
| KNNNumber of shots=8, Learning setting=Not in-context learning2025.09 | 55.3 | — | — | — | — | — | — | — | |
| Qwen-2.5-7B-InstructNumber of shots=16, Learning setting=In-context learning2025.09 | 53.9 | — | — | — | — | — | — | — | |
| Qwen-2.5-7B-InstructNumber of shots=8, Learning setting=In-context learning2025.09 | 51.8 | — | — | — | — | — | — | — | |
| xRFM2025.08 | 29.6 | 5.96 | 84.5 | 98.1 | 55.6 | 59.3 | 74.1 | 11.9 | |
| TabPFN-v22025.08 | 26.9 | 5.02 | 0.864 | 0.947 | 59.1 | 72 | 80.6 | 0.104 | |
| TabR2025.08 | 18.5 | 7.83 | 84.4 | 97 | 33.3 | 55.6 | 70.4 | 11.6 | |
| ModernNCA2025.08 | 11.8 | 10.3 | 0.856 | 0.886 | 22.6 | 31.2 | 50.5 | 0.111 | |
| xRFM2025.08 | 7.53 | 8.75 | 0.856 | 0.893 | 29 | 49.5 | 63.4 | 0.111 | |
| LightGBM2025.08 | 7.53 | 10.4 | 0.845 | 0.869 | 18.3 | 35.5 | 54.8 | 0.119 | |
| RealMLP2025.08 | 7.41 | 7.44 | 83.9 | 95.1 | 14.8 | 29.6 | 77.8 | 12.5 | |
| CatBoost2025.08 | 7.41 | 10.2 | 82.7 | 89.1 | 25.9 | 33.3 | 55.6 | 12.8 | |
| LightGBM2025.08 | 7.41 | 10.5 | 82.6 | 88.4 | 18.5 | 40.7 | 55.6 | 12.8 | |
| TabPFN-v2version=v22025.08 | 7.41 | 10.9 | 83.4 | 92.3 | 22.2 | 25.9 | 48.1 | 12.9 | |
| XGBoost2025.08 | 5.38 | 11.4 | 0.844 | 0.851 | 18.3 | 35.5 | 49.5 | 0.12 | |
| kNN2025.08 | 5.38 | 20.8 | 0.811 | 0.677 | 10.8 | 14 | 18.3 | 0.158 | |
| CatBoost2025.08 | 4.3 | 10.3 | 0.845 | 0.867 | 23.7 | 34.4 | 54.8 | 0.119 | |
| TabR2025.08 | 4.3 | 10.5 | 0.851 | 0.873 | 17.2 | 30.1 | 43 | 0.116 | |
| ModernNCA2025.08 | 3.7 | 9.69 | 84.3 | 96.3 | 29.6 | 40.7 | 59.3 | 12 | |
| XGBoost2025.08 | 3.7 | 12.1 | 82.4 | 87.5 | 18.5 | 33.3 | 51.9 | 12.9 | |
| Excelformer2025.08 | 3.7 | 14.7 | 82.1 | 85.8 | 7.41 | 7.41 | 11.1 | 14.3 | |
| Laplace KRR2025.08 | 3.7 | 17 | 82.6 | 87.9 | 11.1 | 14.8 | 14.8 | 13.8 | |
| Node2025.08 | 3.7 | 20.1 | 79.3 | 72.4 | 3.7 | 3.7 | 7.41 | 15.1 | |
| RandomForest2025.08 | 3.23 | 14.3 | 0.836 | 0.824 | 10.8 | 19.4 | 33.3 | 0.129 | |
| LogReg2025.08 | 3.23 | 20.1 | 0.819 | 0.723 | 9.68 | 12.9 | 17.2 | 0.146 | |
| SVM2025.08 | 2.15 | 21.6 | 0.816 | 0.698 | 3.23 | 6.45 | 10.8 | 0.15 | |
| RealMLP2025.08 | 1.08 | 11.7 | 0.85 | 0.864 | 7.53 | 18.3 | 35.5 | 0.116 | |
| FTT2025.08 | 1.08 | 13.3 | 0.836 | 0.813 | 6.45 | 17.2 | 32.3 | 0.124 | |
| DCN22025.08 | 1.08 | 15.5 | 0.839 | 0.816 | 2.15 | 9.68 | 21.5 | 0.127 | |
| Laplace KRR2025.08 | 1.08 | 15.7 | 0.836 | 0.801 | 16.1 | 20.4 | 26.9 | 0.133 | |
| MLP2025.08 | 1.08 | 16 | 0.836 | 0.797 | 3.23 | 8.6 | 17.2 | 0.132 | |
| ResNet2025.08 | 1.08 | 16.1 | 0.839 | 0.811 | 3.23 | 8.6 | 19.4 | 0.129 | |
| TabCaps2025.08 | 1.08 | 16.2 | 0.835 | 0.804 | 3.23 | 5.38 | 14 | 0.13 | |
| SNN2025.08 | 1.08 | 16.6 | 0.836 | 0.8 | 3.23 | 4.3 | 7.53 | 0.129 | |
| TabTransformer2025.08 | 1.08 | 19.7 | 0.82 | 0.715 | 1.08 | 6.45 | 12.9 | 0.148 | |
| NaiveBayes2025.08 | 1.08 | 28.6 | 0.695 | 0.281 | 2.15 | 3.23 | 4.3 | 0.253 | |
| MLP-PLR2025.08 | 0 | 11.2 | 82.7 | 89 | 0 | 18.5 | 40.7 | 13.1 | |
| FTT2025.08 | 0 | 12.4 | 82.9 | 90 | 11.1 | 18.5 | 29.6 | 13.5 | |
| MLP2025.08 | 0 | 12.7 | 83.3 | 91.5 | 7.41 | 14.8 | 29.6 | 13 | |
| ResNet2025.08 | 0 | 13.3 | 83.4 | 92 | 3.7 | 7.41 | 29.6 | 13 | |
| DCN22025.08 | 0 | 13.4 | 83.2 | 91.9 | 3.7 | 3.7 | 22.2 | 13 | |
| PTARL2025.08 | 0 | 13.4 | 83.1 | 91.1 | 3.7 | 7.41 | 14.8 | 13.1 | |
| AutoInt2025.08 | 0 | 13.7 | 83.1 | 91.1 | 0 | 3.7 | 11.1 | 13 | |
| SNN2025.08 | 0 | 14.8 | 83.1 | 91.2 | 3.7 | 7.41 | 18.5 | 13.1 | |
| Danets2025.08 | 0 | 17.4 | 82.7 | 88.7 | 0 | 0 | 0 | 13.3 | |
| TabCaps2025.08 | 0 | 18.4 | 82.2 | 86.2 | 3.7 | 7.41 | 7.41 | 13.6 | |
| TabTransformer2025.08 | 0 | 19.2 | 81.6 | 79.6 | 3.7 | 7.41 | 18.5 | 16 | |
| RandomForest2025.08 | 0 | 19.6 | 80.6 | 77.2 | 3.7 | 7.41 | 18.5 | 14.4 | |
| LogReg2025.08 | 0 | 20.5 | 80.7 | 77.8 | 3.7 | 18.5 | 25.9 | 15.9 | |
| Tangos2025.08 | 0 | 20.7 | 81.1 | 79.8 | 0 | 3.7 | 3.7 | 13.9 | |
| SVM2025.08 | 0 | 21.8 | 80.2 | 75.4 | 0 | 3.7 | 18.5 | 16.2 | |
| GrowNet2025.08 | 0 | 22.7 | 80.4 | 77.1 | 0 | 0 | 3.7 | 16 | |
| TabNet2025.08 | 0 | 23.2 | 81.4 | 81.8 | 0 | 0 | 0 | 14.2 | |
| kNN2025.08 | 0 | 24.3 | 78.7 | 67.3 | 0 | 0 | 7.41 | 16.6 | |
| SwitchTab2025.08 | 0 | 27.3 | 78.6 | 67 | 0 | 0 | 0 | 16.3 |