Classification of Malware by Using Structural Entropy on Convolutional Neural Networks

Benchmark Model Rank Results
malware-classification-on-microsoft-malware-classification-challengeDynamic Time Wrapping + K-NN#7Accuracy (10-fold): 0.9894LogLoss: 0.367724Macro F1 (10-fold): 0.9813
malware-classification-on-microsoft-malware-classification-challengeMultiresolution CNN#9Accuracy (10-fold): 0.9828LogLoss: 0.124431Macro F1 (10-fold): 0.9636
malware-classification-on-microsoft-malware-classification-challengeStructural entropy CNN#13Accuracy (10-fold): 0.9708LogLoss: 0.134624Macro F1 (10-fold): 0.9314
malware-classification-on-microsoft-malware-classification-challengeMultiresolution CNN + Bagging#18LogLoss: 0.075081