Application of the Classification and Regression Trees for Modeling the Laser Output Power of a Copper Bromide Vapor Laser

<table>Experiment values of <svg height="11.375" id="M138" style="vertical-align:-0.16379pt" version="1.1" viewbox="0 0 33.424999 11.375" width="33.424999" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg> against predicted <i>PredP</i>out using the linear regression CART model with 10 predictors and 27 terminal nodes with a 5% confidence interval.</table>

Mathematical Problems in Engineering

fig6

Figure 6

Figure 6: Application of the Classification and Regression Trees for Modeling the Laser Output Power of a Copper Bromide Vapor Laser 