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.
Cet exercice fait partie du cours
Support Vector Machines in R
Instructions
- 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.
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
#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