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We initialize the parameters to all zero values and run the linear perceptron algorithm through these points in a particular order until convergence. The number of mistakes made on each point are shown in the table below. (These points correspond to the data point in the plot above)

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jayilych4real

The main aim of running the parameters in the linear perceptron algorithm is to be able to develop a machine learning algorithm for binary classification tasks.

What is a linear perceptron algorithm?

This refers to the linear classification algorithm that is used in machine learning.

This is done in order to learn a decision boundary that divides different classes using a hyperplane.

Hence, we can see that your question is incomplete because the parameters are not included, hence a general overview was given to give you a better understanding of the concept.

Read more about machine learning here:

https://brainly.com/question/25523571

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