我如何知道 Kmeans 的准确性？

Question

from datetime import time
from numpy import random
import pandas as pd 
import numpy as np
from  sklearn.model_selection import train_test_split
from sklearn.tree import DecisionTreeClassifier
from sklearn.metrics import classification_report, confusion_matrix
from sklearn.linear_model import LogisticRegression
from sklearn.cluster import KMeans
import matplotlib.pyplot as plt


     df = pd.read_csv( "spam.csv"  )

feature_col=['total']
X=df[feature_col]
y=df.target
  clf_km=KMeans(n_clusters=1)
clf_km=clf_km.fit(X)


clf_km.cluster_centers_
clf_km.labels_

我尝试实现 Kmeans 聚类，但我不知道如何绘制原始聚类和由 kmeans 创建的新聚类，我想绘制原始聚类的散点图和新的散点图{{ 3}}。