import numpy  as np import  matplotlib.pyplot  as plt from sklearn import  datasets iris = datasets.load_iris() X = iris.data y = iris.target X  = X[y<2,:2] #print(X) y =  y[y<2] plt.scatter(X[y==0,0],X[y==0,1],color ='red') plt.scatter(X[y==1,0],X[y==1,1],color ='blue') plt.show() from sklearn.preprocessing import  StandardScaler standardScaler  = StandardScaler() standardScaler.fit(X) X_standard = standardScaler.transform(X) from  sklearn.svm import  LinearSVC svc  =LinearSVC(C=1e9) svc.fit(X_standard,y)