GitHub - nitishch/4-2-NN: Neural network code implemented for Ganesh Ramakrishnan's ML class in 4-2

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Neural network code implemented for Ganesh Ramakrishnan's ML class in 4-2

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
120050071_3.py		120050071_3.py
README		README
TestX.csv		TestX.csv
TestY.csv		TestY.csv
Train.csv		Train.csv
assgn2.pdf		assgn2.pdf
output.csv		output.csv
spambase.names.txt		spambase.names.txt

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Ch Nitish Chandra (120050071)

Output will be written to a file output.csv. It prints accuracy on the
entire training set (without cross validation)

Implementation Details:
Backpropagation with cross entropy error function is minimised using stochastic gradient descent. Following are the parameters:
- Network Architecture
  1 input layer, 1 hidden layer of 10 nodes, 1 output layer
- Training rate eta = 0.05
- Each input row is used 10 times for training

Feature Selection:
57th feature is a scaled version of 55th feature. To reduce the number of variables, I removed the 57th feature.