Dynamic Time Wrapping + K-NN

Reported on 3 benchmarks across 1 task

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Miscellaneous3 results

Malware ClassificationonMicrosoft Malware Classification Challenge
Accuracy (10-fold)
0.9894
best: 9641 (MalConv)
Malware ClassificationonMicrosoft Malware Classification Challenge
LogLoss
0.367724
best: 0.0244 (Opcode-based Shallow CNN)
Malware ClassificationonMicrosoft Malware Classification Challenge
Macro F1 (10-fold)
0.9813
best: 0.9951 (HYDRA)