Malware Classification on Malimg Dataset

Metric: Accuracy (higher is better)

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	GA Designed Deep CNN	0.985	No	-	-	-
2	GRU + SVM	0.8492	No	Towards Building an Intelligent Anti-Malware Sys...	2017-12-31	Code
3	FFNN + SVM	0.8047	No	Towards Building an Intelligent Anti-Malware Sys...	2017-12-31	Code
4	CNN + SVM	0.7723	No	Towards Building an Intelligent Anti-Malware Sys...	2017-12-31	Code

#1GA Designed Deep CNN
0.985
Accuracy
No paper
#2GRU + SVMSOTA
0.8492
Accuracy· 2017-12-31
Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine (SVM) for Malware Classification Code
#3FFNN + SVM
0.8047
Accuracy· 2017-12-31
Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine (SVM) for Malware Classification Code
#4CNN + SVM
0.7723
Accuracy· 2017-12-31
Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine (SVM) for Malware Classification Code