I'm trying to plot the decision boundary of the SVM classifier using a precomputed Laplace kernel (code below) on the similar lines of this

The points are more or less correct, you can see it does not resolve 1,2 very well:

pd.crosstab(y,svm.predict(K))

col_0   0   1   2
row_0           
0   49  1   0
1   0   35  15
2   0   11  39