r1ght0us / android-malware-detection-using-deep-learning Goto Github PK

IAS Module 3 Team members Ujjwal Pasupulety: 15IT150 Samarth Mohan: 15IT236

Paper link- https://arxiv.org/pdf/1712.08996.pdf

Module 3 progress

The following Feature selection algorithms have been used:

1. Variance threshold(varthresh.py)
2. Select K Best(selkbest.py)
3. L1 sparse learning(l1.py)
4. Extra Tree classifier(tree.py)

The algorithms take in features stored as a dataframe(in features.csv) and select a certain set of features. Neural network is trained on these features and the corresponding h5 weight files are stored.