classification models minimum error

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The image shows two classes of observations - one represented in blue and the other represented in red. The green line represents the classification model trying to separate the two classes of observations. 3 different models were run on the same data-set.

Model 1 in the image represents an SVM .
Model 2 - a decision tree .
Model 3 - a simple linear classifier.

3 classification models

Out of the three models, which of the one has the least error on the given training data-set ?

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

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The underpinnings of ML

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