Question: 6 Classifiers & Decision Boundaries (12 points) The figure below shows the decision boundaries of three classifiers: Logistic Regression, K-nearest neighbor, and decision tree on

 6 Classifiers \& Decision Boundaries (12 points) The figure below shows

6 Classifiers \& Decision Boundaries (12 points) The figure below shows the decision boundaries of three classifiers: Logistic Regression, K-nearest neighbor, and decision tree on a binary classification training data. For each plot, write the name of the classifier that this plot represents and also the number of mistakes the classifier committed on the training data. Explain your reasoning. Figure 2: Decision boundaries of different classifiers on binary classification data

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