Update page 'Solutions to the questions concerning R language'

Solutions to the questions concerning R language.md

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