Correctness Prediction on Overall Combined Datasets
70.12AccuracyIRT-NET
Evaluation results
| Method | Links | |
|---|---|---|
| IRT-NETTrain samples=10242026.01 | 70.12 | |
| LOCUSTrain samples=10242026.01 | 70.03 | |
| KMEANSTrain samples=10242026.01 | 69.57 | |
| EMBEDLLMTrain samples=10242026.01 | 69.47 | |
| EMBEDLLM+Train samples=10242026.01 | 69.33 | |
| kNNTrain samples=10242026.01 | 69.27 | |
| IRT-NETTrain samples=5122026.01 | 69.07 | |
| LOCUSTrain samples=5122026.01 | 68.33 | |
| KMEANSTrain samples=5122026.01 | 68.32 | |
| LOCUSTrain samples=2562026.01 | 68.31 | |
| EMBEDLLMTrain samples=5122026.01 | 68.12 | |
| EMBEDLLM+Train samples=5122026.01 | 68.09 | |
| kNNTrain samples=5122026.01 | 67.9 | |
| IRT-NETTrain samples=2562026.01 | 67.38 | |
| EMBEDLLMTrain samples=2562026.01 | 67.33 | |
| KMEANSTrain samples=2562026.01 | 66.34 | |
| EMBEDLLM+Train samples=2562026.01 | 66.14 | |
| kNNTrain samples=2562026.01 | 60.6 |