X=new.iloc[:,:-1]y =new.iloc[:,29]X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=10)machine1 = svm.LinearSVC()machine1.fit(X_train,y_train)y_pred = machine1.predict(X_test)plt.axis("off");plt.scatter(y_test,y_pred)

我在尝试预测两个类别，当我试图绘制图表时，图表上只显示了4个点，任何人知道我的代码有什么问题吗？我的训练和测试数据形状如下：训练数据 (1668, 29) (1668,) 测试数据 (715, 29) (715,) 而且我已经打印了y_pred，结果显示如下：[1 0 1 1 1 1 1 1 0 0 1 1 1 0 0 1 0 0 0 0 0 1 1 1 1 0 1 1 1 0 0 0 0 1 0 0 1 0 0 0 1 1 0 0 1 0 0 0 1 0 1 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 1 0 1 1 1 0 0 1 0 1 1 0 1 0 0 0 0 1 0 0 0 1 1 0 0 0 1 0 1 0 0 0 0 1 0 0 1 1 1 1 1 0 0 1 0 0 0 1 0 0 0 1 0 0 1 0 0 0 0 0 1 1 1 0 0 1 0 1 0 1 0 0 1 0 0 0 0 0 0 1 0 0 1 0 0 0 1 1 0 1 1 1 1 0 0 1 0 0 1 0 1 1 0 1 1 1 1 0 0 1 1 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 1 0 0 1 0 1 1 0 0 1 0 1 1 1 0 1 1 0 0 0 1 0 0 0 0 1 1 0 1 0 0 0 1 1 0 1 1 0 0 1 1 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 1 0 1 1 0 1 0 0 1 0 1 1 1 1 0 0 1 0 1 1 0 0 1 0 1 0 0 0 0 1 1 0 1 0 0 1 1 1 1 1 1 0 0 1 0 1 1 1 1 1 1 0 0 1 0 1 0 1 1 0 0 0 0 0 0 1 0 0 1 0 1 0 1 1 0 0 0 1 0 1 1 0 0 0 1 0 1 1 1 1 0 1 1 0 1 1 1 0 0 1 0 0 0 1 0 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 1 0 1 1 0 0 1 0 1 1 0 1 1 0 1 1 1 0 0 0 1 0 0 1 0 0 1 1 0 0 0 0 0 0 1 0 1 0 0 1 1 1 0 0 1 0 0 1 0 0 1 0 1 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 1 0 1 0 0 1 1 0 0 0 1 1 1 0 0 0 0 0 0 1 0 1 0 0 1 0 0 1 0 0 0 1 0 0 0 1 1 0 0 1 1 0 1 0 1 0 1 1 0 1 1 1 0 0 0 0 1 1 1 1 1 0 0 0 0 0 1 1 1 1 0 1 0 0 1 1 1 1 0 0 1 1 0 0 0 0 0 0 1 1 1 1 1 0 0 0 1 0 1 1 1 1 0 1 1 1 0 0 0 0 1 1 0 1 1 0 1 0 0 0 1 0 1 1 1 0 0 1 1 0 0 0 0 1 0 1 0 1 0 1 0 0 1 0 0 1 0 0 0 1 0 0 0 0 1 1 0 0 1 1 1 0 0 1 0 0 0 0 1 0 0 0 0 0 0 1 1 1 1 1 0 0 0 1 1 0 1 1 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 0 1 1 0 0 0 0 0 0 1 1 1 0 1 0 0 1 0 1 0 1 1 0 1 0 1 0 0 0 0 0 0 1 1 1 0 0 0 1 1 1 0 0 0 1 1 0 0]

回答：

结果是正确的，因为0和1总共有4种可能的组合：0,0 0,1 1,0 和 1,1。没有问题