我如何使用此数据集“ MC1”绘制KNN决策边界数字？

Question

如何使用此数据集“ MC1”来绘制KNN决策边界图？ 这是我的代码，我尝试使用ILOC和LOC，但没有工作

from sklearn.model_selection import train_test_split as tts
from sklearn.preprocessing import StandardScaler
from sklearn.datasets import make_moons
import pandas as pd
from sklearn.neighbors import KNeighborsClassifier
from yellowbrick.contrib.classifier import DecisionViz
from yellowbrick.features import RadViz
from yellowbrick.style import set_palette
set_palette('flatui')

data_set = pd.read_csv('MC1.csv')

X, y = data_set
X = StandardScaler().fit_transform(X)
X_train, X_test, y_train, y_test = tts(X, y, test_size=.4, random_state=42)
visualizer = RadViz(size=(500, 400))
viz = DecisionViz(
    KNeighborsClassifier(5), title="Nearest Neighbors",classes=['Y', 'N']
)

viz.fit(X_train, y_train)
viz.draw(X_test, y_test)
viz.show()