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Introduce a margin in the dataset

Your final task for Chapter 1 is to create a margin in the dataset that you generated in the previous exercise and then display the margin in a plot. The ggplot2 library has been preloaded for you. Recall that the slope of the linear decision boundary you created in the previous exercise is 1.4.

Diese Übung ist Teil des Kurses

Support Vector Machines in R

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Anleitung zur Übung

  • Introduce a margin delta of 0.07 units in your dataset.
  • Replot the dataset, displaying the margin boundaries as dashed lines and the decision boundary as a solid line.

Interaktive Übung

Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.

#set margin
delta <- ___

# retain only those points that lie outside the margin
df1 <- df[abs(1.4*df$x1 - df$x2) > delta, ]

#build plot
plot_margins <- ggplot(data = df1, aes(x = x1, y = x2, color = y)) + geom_point() + 
    scale_color_manual(values = c("red", "blue")) + 
    geom_abline(slope = ___, intercept = 0)+
    geom_abline(slope = ___, intercept = ___, linetype = "dashed") +
    geom_abline(slope = ___, intercept = ___, linetype = "dashed")
 
#display plot 
plot_margins
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