Machine Learning Practice Quiz 2: 6 August 2023 (May 2023 term)

1from sklearn.datasets import load_iris
2from sklearn.linear_model import LogisticRegression
3
4X, y = load_iris(return_X_y=True)
5clf = LogisticRegression(random_state=0).fit(X, y)
6
7print(y[70:80])
8print(clf.predict(X[70:80, :]))

1[1 1 1 1 1 1 1 1 1 1]
2[2 1 1 1 1 1 1 2 1 1]

1print(clf.score(X[70:80, :], y[70:80]))

1from sklearn.neighbors import KNeighborsClassifier
2X_train = [[1,100],[4,400],[5,500],[6,600],[8,800],[9,900],
3           [11,1100],[12,1200],[15,1500], [18,1800],[19,1900]]
4y_train = [0,0,1,1,1,2,2,2,2,2,2]
5
6X_test = [[2,200]]
7
8knn = KNeighborsClassifier(n_neighbors= len(y_train),
9                           metric="euclidean",
10                           weights= 'uniform')
11knn.fit(X_train,y_train)
12
13print(knn.predict(X_test))