Metric: LogLoss (lower is better)
| # | Model↕ | LogLoss▲ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | Opcode-based Shallow CNN | 0.0244 | No | - | - | Code |
| 2 | Hierarchical Convolutional Network | 0.0419 | No | - | - | - |
| 3 | SEA | 0.0431 | No | Sequential Embedding-based Attentive (SEA) class... | 2023-02-11 | Code |
| 4 | CNN+BiLSTM | 0.0744 | No | - | - | - |
| 5 | Multiresolution CNN + Bagging | 0.075081 | No | - | - | Code |
| 6 | Hierarchical Attention Network | 0.0933 | No | - | - | - |
| 7 | Autoencoders+Residual Network | 0.106343 | No | - | - | - |
| 8 | Multiresolution CNN | 0.124431 | No | - | - | Code |
| 9 | Structural entropy CNN | 0.134624 | No | - | - | Code |
| 10 | DeepConv | 0.1602 | No | - | - | - |
| 11 | Gray-scale IMG CNN | 0.184483 | No | - | - | Code |
| 12 | MalConv | 0.3071 | No | - | - | - |
| 13 | Dynamic Time Wrapping + K-NN | 0.367724 | No | - | - | Code |