Update page 'Solutions to the questions concerning R language'
@@ -425,3 +425,22 @@ Tuning reduces the training error to 15.12% and test error to 17.4% which is wor
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**viii.**
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Overall, radial basis kernel seems to be producing minimum misclassification error on both train and test data.
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***Conceptual Question***
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**i. **
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```
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x1 = c(3, 2, 4, 1, 2, 4, 4)
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x2 = c(4, 2, 4, 4, 1, 3, 1)
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colors = c("red", "red", "red", "red", "blue", "blue", "blue")
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plot(x1, x2, col = colors, xlim = c(0, 5), ylim = c(0, 5))
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```
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**ii.**
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The maximal margin classifier has to be in between observations #2, #3 and #5, #6.
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(2,2),(4,4)
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(2,1),(4,3)
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=>(2,1.5),(4,3.5)
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b=(3.5−1.5)/(4−2)=1
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a=X2−X1=1.5−2=−0.5
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