sklearn支持向量机SVM是SVC线性核径向基函数

    import numpy as np
    import matplotlib.pyplot as plt
    from scipy import stats
    import seaborn as sns
    sns.set()
    # sns.set(style = 'whitegrid')
    # sns.set_style('whitegrid')
    % matplotlib inline
    
    from sklearn.datasets.samples_generator import make_blobs
    
    X,y = make_blobs(n_samples=50, centers=2, random_state=0, cluster_std=0.6)
    plt.scatter(X[:,0], X[:,1], c=y, s=50, cmap='autumn', edgecolor='black')
    plt.plot([0.6], [2.1], 'x', c