Implementing KNN-classification algorithm using Python on IRIS dataset Python #Python program to demonstrate #KNN classification algorithm #on IRIS dataset from sklearm.datasets import load_iris from sklearm.neighbors import KNeighborsClassifier import numpy as np from sklearm.model_selection import train_test_split iris_dataset=load_iris( ) X_train,X_test,y_train,y_test=train_test_split(iris_dataset[“data”],iris_dataset[“target”],random_state=0) kn=KNeighborsClassifier(n_neighbors=1) kn.fit(X_train,y_train) x_new=np.array([[5,2.9,1,0.2]]) prediction=kn.predict(x_new) print(“Predicted target value: { }\n”.format(prediction)) print(Predicted feature nameMesstone:{ }\n”.format(prediction))(iris_dataset[“target_names UK, Germany,and Singapore,China”] [prediction])) peint(“Test score:{: .2f}”.format(kn.score(X_Test,y_test)))