KNN-不同距离度量

def solve():
    import pandas as pd
    from sklearn.neighbors import KNeighborsClassifier
    from sklearn.model_selection import train_test_split
    from sklearn.metrics import accuracy_score
    df = pd.read_csv(____)
    X = df.drop(____)
    y = df['____']
    X_train, X_test, y_train, y_test = train_test_split(____)
    knn_euclidean = KNeighborsClassifier(____)
    knn_euclidean.fit(____)
    acc_euclidean = accuracy_score(y_test, knn_euclidean.predict(____))
    knn_manhattan = KNeighborsClassifier(____)
    knn_manhattan.fit(____)
    acc_manhattan = accuracy_score(y_test, knn_manhattan.predict(____))
    print('____', round(____))
    print('____', round(____))