#Three lines to make our compiler able to draw: import sys import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt from sklearn.neighbors import KNeighborsClassifier x = [4, 5, 10, 4, 3, 11, 14 , 8, 10, 12] y = [21, 19, 24, 17, 16, 25, 24, 22, 21, 21] classes = [0, 0, 1, 0, 0, 1, 1, 0, 1, 1] data = list(zip(x, y)) knn = KNeighborsClassifier(n_neighbors=1) knn.fit(data, classes) new_x = 8 new_y = 21 new_point = [(new_x, new_y)] prediction = knn.predict(new_point) plt.scatter(x + [new_x], y + [new_y], c=classes + [prediction[0]]) plt.text(x=new_x-1.7, y=new_y-0.7, s=f"new point, class: {prediction[0]}") plt.show() #Two lines to make our compiler able to draw: plt.savefig(sys.stdout.buffer) sys.stdout.flush()