Machine-Learning-approach-for-Malware-Detection
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20 hours ago •
surajr
surajr
A Machine Learning approach for classifying a file as Malicious or Legitimate
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it says: FileNotFoundError Traceback (most recent call last) in () 185 clf = joblib.load('classifier/classifier.pkl') 186 features = pickle.loads(open(os.path.join('classifier/features.pkl'),'rb').read()) --> 187 data = extract_infos(sys.argv[1]) 188 pe_features = map(lambda x:data[x], features) 189
When I run your code it shows wrong result. I have tested with skype.exe it shows as malicious but actually skype is not malicious. Kindly upload the correct code.
If the test ratio is changed to 0.3, it shows all the files as benign, if changed to 0.2, it shows all to be malicious. Can you please suggest to...
