PCA-降维后分类

def solve():
    import pandas as pd
    from sklearn.decomposition import PCA
    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['____']
    pca = PCA(____)
    X_pca = pca.fit_transform(____)
    X_train, X_test, y_train, y_test = train_test_split(____)
    knn = KNeighborsClassifier(____)
    knn.fit(____)
    print('____', round(accuracy_score(y_test, knn.predict(____)), ____))