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[ Question continued from previous page ] ( b ) i . Consider the training data shown in the figure immediately below. There are two

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(b)
i. Consider the training data shown in the figure immediately below. There are two features, x1 and x2, and the datapoints are shown by
[3 marks]
a cross for those in class 1 and a circle for those in class 0. A Logistic Regression model is trained on this data.
What parameter values (w0,w1,w2) would you expect to get as a result of training on this dataset? Discuss where the decision boundary of the logistic regressor would be, and how steep the sigmoid function would be. Copy and annotate the figure if that would be helpful.
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