Malware Classification on Microsoft Malware Classification Challenge

Metric: Accuracy (5-fold) (higher is better)

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#	Model↕	Accuracy (5-fold)▼	Extra Data	Paper	Date↕	Code
1	TPOT Classifier	98.94	No	Malware Classification Using Static Disassembly ...	2021-12-10	Code
2	CNN BiLSTM - Reb Sampl	98.2	No	Deep learning at the shallow end: Malware classi...	2018-07-22	Code
3	Gray-scale IMG CNN	0.973	No	-	-	Code
4	Haralick features + XGBoost	0.955	No	-	-	Code
5	LBP features + XGBoost	0.951	No	-	-	Code

#1TPOT ClassifierSOTA
98.94
Accuracy (5-fold)· 2021-12-10
Malware Classification Using Static Disassembly and Machine Learning Code
#2CNN BiLSTM - Reb SamplSOTA
98.2
Accuracy (5-fold)· 2018-07-22
Deep learning at the shallow end: Malware classification for non-domain experts Code
#3Gray-scale IMG CNN
0.973
Accuracy (5-fold)
No paperCode
#4Haralick features + XGBoost
0.955
Accuracy (5-fold)
No paperCode
#5LBP features + XGBoost
0.951
Accuracy (5-fold)
No paperCode