参考教程：https://geek-docs.com/machine-learning/classification-algorithms/svm.html

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inlinebankdata = pd.read_csv("D:/Datasets/bill_authentication.csv")bankdata.shapebankdata.head()x = bankdata.drop('Class',axis=1)y = bankdata['Class']from sklearn.model_selection import train_test_split
x_train, x_test, y_train, y_test = train_test_split(x, y, test_size = 0.20)y_pred = svclassifier.predict(x_test)y_test=np.array(y_test)
y_pred=np.array(y_pred)np.mean(np.equal(y_test,y_pred))