Answer to Question #319741 in Python for Anino

Question

Part 3: KNN

• Apply the kNN classifier to the Iris data (using 3 neighbors and unweighted distances).
• Output the classification report and confusion matrix and submit a screenshot of the result (1 mark).

Answer 1

iris = datasets.load_iris()
X = iris.data[:, :2]  
y = iris.target
from sklearn.neighbours import KNeighbourClassifier
classifier = KNeighbourClassifier(n_neighbour=3)
classifier.fit(X, y)