KMeans-聚类评估

def solve():
    import pandas as pd
    from sklearn.cluster import KMeans
    from sklearn.metrics import adjusted_rand_score
    df = pd.read_csv(____)
    X = df.drop(____)
    y = df['____']
    kmeans = KMeans(____)
    labels = kmeans.fit_predict(____)
    ari = adjusted_rand_score(____)
    print('____', round(____))