for i in range(X.shape[0]):
plt.scatter(X[i, 0],
X[i, 1],
marker=marker_shapes[y[i]],
s=75,
edgecolors='black',
facecolors='none')
plt.scatter(test_datapoint[0],
test_datapoint[1],
marker='x',
linewidth=6,
s=200,
facecolors='black')
plt.show()
_, indices = classifier.kneighbors([test_datapoint])
indices = indices.astype(np.int)[0]
plt.figure()
plt.title('K Nearest Neighbors')
for i in indices:
plt.scatter(X[i, 0],
X[i, 1],
marker=marker_shapes[y[i]],
linewidth=3,
s=100,
facecolors='black')
plt.scatter(test_datapoint[0],
test_datapoint[1],
marker='x',
