Create a 2-dimensional data set with 30 samples that has the following properties

1. Samples should belong to 2 classes (15 samples per class)
2. Using a Logistic Regression classifier, all samples from both classes can be correctly classified
3. Using a K-NN classifier, with K=3, two samples from each class will always be misclassified. The remaining 26 can be classified correctly.