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USING PYTHON Build a dataset of the XNOR function with 2 inputs with about 50 to...

USING PYTHON

Build a dataset of the XNOR function with 2 inputs with about 50 to 75 samples.

Build a classification model using NN and SVM (LinearSVC kernel) using the scikit-learn library.

Calculate the accuracy in both cases and also print the confusion matrix.

Please capture your observations on the results and any comments you may have.

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Observation is that due to data is linearly non-seperable , confusion matrix is giving some error.. It is able to classify one class perfectly and other class is getting into first class...

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