Question 3
What will be the output of the following code ?
from sklearn.neighbors import KNeighborsClassifierX_train = [[1,100],[4,400],[5,500],[6,600],[8,800],[9,900], [11,1100],[12,1200],[15,1500], [18,1800],[19,1900]]y_train = [0,0,1,1,1,2,2,2,2,2,2]
X_test = [[2,200]]
knn = KNeighborsClassifier(n_neighbors= len(y_train), metric="euclidean", weights= 'uniform')knn.fit(X_train,y_train)
print(knn.predict(X_test))