classification models best model to choose

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If these models were to be used to classify a test dataset ( unseen data ) which one of the three models would be the best one to choose from to perform the classification task ?

Think about the points that might be outliers.
Also think about the points that you had earlier classified as belonging to red and blue classes i.e. Point 1 with the values x1=1 , x2=2 and Point 2 with the values x1=1 , x2=0.5

classification models

Model 1 - SVM
Model 2 - Decision Tree
Model 3 - Linear Classifier

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The underpinnings of ML

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