content: """
  ==============================================
  Plot randomly generated classification dataset
  ==============================================
  
  Plot several randomly generated 2D classification datasets.
  This example illustrates the :func:`datasets.make_classification`
  :func:`datasets.make_blobs` and :func:`datasets.make_gaussian_quantiles`
  functions.
  
  For ``make_classification``, three binary and two multi-class classification
  datasets are generated, with different numbers of informative features and
  clusters per class.  """
  
  print(__doc__)
  
  import matplotlib.pyplot as plt
  
  from sklearn.datasets import make_classification
  from sklearn.datasets import make_blobs
  from sklearn.datasets import make_gaussian_quantiles
  
  plt.figure(figsize=(8, 8))
  plt.subplots_adjust(bottom=.05, top=.9, left=.05, right=.95)
  
  plt.subplot(321)
  plt.title("One informative feature, one cluster per class", fontsize='small')
  X1, Y1 = make_classification(n_features=2, n_redundant=0, n_informative=1,
                               n_clusters_per_class=1)
  plt.scatter(X1[:, 0], X1[:, 1], marker='o', c=Y1)
  
  plt.subplot(322)
  plt.title("Two informative features, one cluster per class", fontsize='small')
  X1, Y1 = make_classification(n_features=2, n_redundant=0, n_informative=2,
                               n_clusters_per_class=1)
  plt.scatter(X1[:, 0], X1[:, 1], marker='o', c=Y1)
  
  plt.subplot(323)
  plt.title("Two informative features, two clusters per class", fontsize='small')
  X2, Y2 = make_classification(n_features=2, n_redundant=0, n_informative=2)
  plt.scatter(X2[:, 0], X2[:, 1], marker='o', c=Y2)
  
  
  plt.subplot(324)
  plt.title("Multi-class, two informative features, one cluster",
            fontsize='small')
  X1, Y1 = make_classification(n_features=2, n_redundant=0, n_informative=2,
                               n_clusters_per_class=1, n_classes=3)
  plt.scatter(X1[:, 0], X1[:, 1], marker='o', c=Y1)
  
  plt.subplot(325)
  plt.title("Three blobs", fontsize='small')
  X1, Y1 = make_blobs(n_features=2, centers=3)
  plt.scatter(X1[:, 0], X1[:, 1], marker='o', c=Y1)
  
  plt.subplot(326)
  plt.title("Gaussian divided into three quantiles", fontsize='small')
  X1, Y1 = make_gaussian_quantiles(n_features=2, n_classes=3)
  plt.scatter(X1[:, 0], X1[:, 1], marker='o', c=Y1)
  
  plt.show()
  