Question: Consider a classification problem where we have 4 data points (each has two features and a label, which is either True or False): ((1,1), T),

Consider a classification problem where we have 4 data points (each has two features and a label, which is either True or False): ((1,1), T), ((1, -1), F), ((-1, 1), F), ((-1, -1), T)((1,1),T),((1,1),F),((1,1),F),((1,1),T). Using only the two given features (no additional feature allowed), does there exist a perceptron that could correctly classify all four data points?

Yes or No?

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