Sequential Embedding-based Attentive (SEA) classifier for malware classification
Open paper
Benchmark
Model
Rank
Results
malware-classification-on-microsoft-malware-classification-challenge
SEA
#6
Accuracy (10-fold): 0.9912
LogLoss: 0.0431
Macro F1 (10-fold): 0.9908
Rank counts only results with a code link.