Unlike the perceptron, adaline does not guarantee that the output will actually separate 2-label data points that are linearly separable. Construct a 2- dimensional data set (i. e. the data points and their labels), with the properties that: (a) the data set is linearly separable
(b) the optimal adaline solution does not separate the data.
Demonstrate your answer as follows:
(i) Plot the data points, as we did above for the iris data set. This will show that your data set is linearly separable.
(ii) Calculate the optimal adaline weights using the function exactAdaline from question 1.
(iii) Find one point in your data set, and show the calculations that prove that it is misclassified by the optimal adaline.
(Please insert cells below for your answers. Clearly id the part of the question you answer)
Type Markdown and LaTeX: a2

Write a function balancechemical to balance chemical reactions by solving a linear set of equations. the inputs arguments are: reagents: symbols of reagents in string row array products: symbols of products in string row array elements: elements in the reaction in string row array elcmpreag: elemental composition of reactants in two dimensional numeric array elcmpprdcts: elemental composition of prducts in two dimensional numeric array hint: the first part of the problem is setting up the set of linear equations that should be solve. the second part of the problem is to find the integers from the solution. one way to do this is to mulitiply the rational basis for the nullspace by increasing larger integers until both the left-and right-side integers exist. for example, for the reaction that involves reacting with to produce and : reagents=["ch4", "o2"]; products =["co2", "h2o"]; elements =["c","h", "o"] elcmpreag=[1,4,0;

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Three out of five seniors remain undecided about a college major at the end of their senior year.