exercise:D10bcb88bf

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Implement the naive separation algorithm, that picks one data point at random and then labels that half of the data set which is closest to the first point as [math]0[/math] and the rest as [math]1[/math]. Test the algorithm on the data set from Problem. When generating the data, mark the data points with [math]0[/math] and [math]1[/math] and after running the separation algorithm, let your code count how many data points got classified correctly.