The following table shows a data set and the number of times each point is misclassified...

  

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The following table shows a data set and the number of times each point is misclassified during a run of the perceptron algorithm (with offset 00). 0 and 60 are initialized to zero. ix (i) y() times misclassified 1 [-4,2] +1 1 2 [-2, 1] +1 0 3 [-1, -1] -1 2 4 [2,2] -1 1 5 [1,-2] -1 0 Write down the state of 0 and 00 after this run has completed (note, the algorithm may not yet have converged). Enter as a list [01, 02] and 00 as a single number in the following boxes. Please enter 0: Please enter 00: Activer Windows Accdez aux paramtres p The following table shows a data set and the number of times each point is misclassified during a run of the perceptron algorithm (with offset 00). 0 and 60 are initialized to zero. ix (i) y() times misclassified 1 [-4,2] +1 1 2 [-2, 1] +1 0 3 [-1, -1] -1 2 4 [2,2] -1 1 5 [1,-2] -1 0 Write down the state of 0 and 00 after this run has completed (note, the algorithm may not yet have converged). Enter as a list [01, 02] and 00 as a single number in the following boxes. Please enter 0: Please enter 00: Activer Windows Accdez aux paramtres p