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Feature based analysis using ML classifiers on the NSL-KDD Dataset

License: MIT License

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nsl-kdd-dataset ddos-attacks networking machine-learning mlp-classifier

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nsl-kdd-dataset-analysis's Issues

categorical_features error

Hey I was trying to run this code and for this part below I keep getting an error saying "TypeError: init() got an unexpected keyword argument 'categorical_features'". Any idea why this is ?

Now applying one-hot-encoding to map the numbers to appropiate weights.

onehotencoder_1 = OneHotEncoder(categorical_features = [1])
x = onehotencoder_1.fit_transform(x).toarray()
onehotencoder_2 = OneHotEncoder(categorical_features = [4])
x = onehotencoder_2.fit_transform(x).toarray()
onehotencoder_3 = OneHotEncoder(categorical_features = [74]) #4+70-1
x = onehotencoder_3.fit_transform(x).toarray()

labelencoder_y = LabelEncoder()
y = labelencoder_y.fit_transform(y)
#display(y)
display(x.shape)

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