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<div class="section" id="plot-randomly-generated-classification-dataset">
<span id="example-datasets-plot-random-dataset-py"></span><h1>Plot randomly generated classification dataset<a class="headerlink" href="#plot-randomly-generated-classification-dataset" title="Permalink to this headline">¶</a></h1>
<p>Plot several randomly generated 2D classification datasets.
This example illustrates the <code class="xref py py-func docutils literal"><span class="pre">datasets.make_classification</span></code>
<code class="xref py py-func docutils literal"><span class="pre">datasets.make_blobs</span></code> and <code class="xref py py-func docutils literal"><span class="pre">datasets.make_gaussian_quantiles</span></code>
functions.</p>
<p>For <code class="docutils literal"><span class="pre">make_classification</span></code>, three binary and two multi-class classification
datasets are generated, with different numbers of informative features and
clusters per class.</p>
<img alt="../../_images/plot_random_dataset_001.png" class="align-center" src="../../_images/plot_random_dataset_001.png" />
<p><strong>Python source code:</strong> <a class="reference download internal" href="../../_downloads/plot_random_dataset.py"><code class="xref download docutils literal"><span class="pre">plot_random_dataset.py</span></code></a></p>
<div class="highlight-python"><div class="highlight"><pre>
<span class="k">print</span><span class="p">(</span><span class="n">__doc__</span><span class="p">)</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="kn">as</span> <span class="nn">plt</span>
<span class="kn">from</span> <span class="nn">sklearn.datasets</span> <span class="kn">import</span> <a href="../../modules/generated/sklearn.datasets.make_classification.html#sklearn.datasets.make_classification"><span class="n">make_classification</span></a>
<span class="kn">from</span> <span class="nn">sklearn.datasets</span> <span class="kn">import</span> <a href="../../modules/generated/sklearn.datasets.make_blobs.html#sklearn.datasets.make_blobs"><span class="n">make_blobs</span></a>
<span class="kn">from</span> <span class="nn">sklearn.datasets</span> <span class="kn">import</span> <a href="../../modules/generated/sklearn.datasets.make_gaussian_quantiles.html#sklearn.datasets.make_gaussian_quantiles"><span class="n">make_gaussian_quantiles</span></a>
<a href="http://matplotlib.org/api/figure_api.html#matplotlib.figure"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">8</span><span class="p">,</span> <span class="mi">8</span><span class="p">))</span>
<span class="n">plt</span><span class="o">.</span><span class="n">subplots_adjust</span><span class="p">(</span><span class="n">bottom</span><span class="o">=.</span><span class="mo">05</span><span class="p">,</span> <span class="n">top</span><span class="o">=.</span><span class="mi">9</span><span class="p">,</span> <span class="n">left</span><span class="o">=.</span><span class="mo">05</span><span class="p">,</span> <span class="n">right</span><span class="o">=.</span><span class="mi">95</span><span class="p">)</span>
<a href="http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.subplot"><span class="n">plt</span><span class="o">.</span><span class="n">subplot</span></a><span class="p">(</span><span class="mi">321</span><span class="p">)</span>
<a href="http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.title"><span class="n">plt</span><span class="o">.</span><span class="n">title</span></a><span class="p">(</span><span class="s2">"One informative feature, one cluster per class"</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="s1">'small'</span><span class="p">)</span>
<span class="n">X1</span><span class="p">,</span> <span class="n">Y1</span> <span class="o">=</span> <a href="../../modules/generated/sklearn.datasets.make_classification.html#sklearn.datasets.make_classification"><span class="n">make_classification</span></a><span class="p">(</span><span class="n">n_features</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">n_redundant</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">n_informative</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
<span class="n">n_clusters_per_class</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<a href="http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.scatter"><span class="n">plt</span><span class="o">.</span><span class="n">scatter</span></a><span class="p">(</span><span class="n">X1</span><span class="p">[:,</span> <span class="mi">0</span><span class="p">],</span> <span class="n">X1</span><span class="p">[:,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">marker</span><span class="o">=</span><span class="s1">'o'</span><span class="p">,</span> <span class="n">c</span><span class="o">=</span><span class="n">Y1</span><span class="p">)</span>
<a href="http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.subplot"><span class="n">plt</span><span class="o">.</span><span class="n">subplot</span></a><span class="p">(</span><span class="mi">322</span><span class="p">)</span>
<a href="http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.title"><span class="n">plt</span><span class="o">.</span><span class="n">title</span></a><span class="p">(</span><span class="s2">"Two informative features, one cluster per class"</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="s1">'small'</span><span class="p">)</span>
<span class="n">X1</span><span class="p">,</span> <span class="n">Y1</span> <span class="o">=</span> <a href="../../modules/generated/sklearn.datasets.make_classification.html#sklearn.datasets.make_classification"><span class="n">make_classification</span></a><span class="p">(</span><span class="n">n_features</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">n_redundant</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">n_informative</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span>
<span class="n">n_clusters_per_class</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<a href="http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.scatter"><span class="n">plt</span><span class="o">.</span><span class="n">scatter</span></a><span class="p">(</span><span class="n">X1</span><span class="p">[:,</span> <span class="mi">0</span><span class="p">],</span> <span class="n">X1</span><span class="p">[:,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">marker</span><span class="o">=</span><span class="s1">'o'</span><span class="p">,</span> <span class="n">c</span><span class="o">=</span><span class="n">Y1</span><span class="p">)</span>
<a href="http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.subplot"><span class="n">plt</span><span class="o">.</span><span class="n">subplot</span></a><span class="p">(</span><span class="mi">323</span><span class="p">)</span>
<a href="http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.title"><span class="n">plt</span><span class="o">.</span><span class="n">title</span></a><span class="p">(</span><span class="s2">"Two informative features, two clusters per class"</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="s1">'small'</span><span class="p">)</span>
<span class="n">X2</span><span class="p">,</span> <span class="n">Y2</span> <span class="o">=</span> <a href="../../modules/generated/sklearn.datasets.make_classification.html#sklearn.datasets.make_classification"><span class="n">make_classification</span></a><span class="p">(</span><span class="n">n_features</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">n_redundant</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">n_informative</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<a href="http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.scatter"><span class="n">plt</span><span class="o">.</span><span class="n">scatter</span></a><span class="p">(</span><span class="n">X2</span><span class="p">[:,</span> <span class="mi">0</span><span class="p">],</span> <span class="n">X2</span><span class="p">[:,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">marker</span><span class="o">=</span><span class="s1">'o'</span><span class="p">,</span> <span class="n">c</span><span class="o">=</span><span class="n">Y2</span><span class="p">)</span>
<a href="http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.subplot"><span class="n">plt</span><span class="o">.</span><span class="n">subplot</span></a><span class="p">(</span><span class="mi">324</span><span class="p">)</span>
<a href="http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.title"><span class="n">plt</span><span class="o">.</span><span class="n">title</span></a><span class="p">(</span><span class="s2">"Multi-class, two informative features, one cluster"</span><span class="p">,</span>
<span class="n">fontsize</span><span class="o">=</span><span class="s1">'small'</span><span class="p">)</span>
<span class="n">X1</span><span class="p">,</span> <span class="n">Y1</span> <span class="o">=</span> <a href="../../modules/generated/sklearn.datasets.make_classification.html#sklearn.datasets.make_classification"><span class="n">make_classification</span></a><span class="p">(</span><span class="n">n_features</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">n_redundant</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">n_informative</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span>
<span class="n">n_clusters_per_class</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">n_classes</span><span class="o">=</span><span class="mi">3</span><span class="p">)</span>
<a href="http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.scatter"><span class="n">plt</span><span class="o">.</span><span class="n">scatter</span></a><span class="p">(</span><span class="n">X1</span><span class="p">[:,</span> <span class="mi">0</span><span class="p">],</span> <span class="n">X1</span><span class="p">[:,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">marker</span><span class="o">=</span><span class="s1">'o'</span><span class="p">,</span> <span class="n">c</span><span class="o">=</span><span class="n">Y1</span><span class="p">)</span>
<a href="http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.subplot"><span class="n">plt</span><span class="o">.</span><span class="n">subplot</span></a><span class="p">(</span><span class="mi">325</span><span class="p">)</span>
<a href="http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.title"><span class="n">plt</span><span class="o">.</span><span class="n">title</span></a><span class="p">(</span><span class="s2">"Three blobs"</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="s1">'small'</span><span class="p">)</span>
<span class="n">X1</span><span class="p">,</span> <span class="n">Y1</span> <span class="o">=</span> <a href="../../modules/generated/sklearn.datasets.make_blobs.html#sklearn.datasets.make_blobs"><span class="n">make_blobs</span></a><span class="p">(</span><span class="n">n_features</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">centers</span><span class="o">=</span><span class="mi">3</span><span class="p">)</span>
<a href="http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.scatter"><span class="n">plt</span><span class="o">.</span><span class="n">scatter</span></a><span class="p">(</span><span class="n">X1</span><span class="p">[:,</span> <span class="mi">0</span><span class="p">],</span> <span class="n">X1</span><span class="p">[:,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">marker</span><span class="o">=</span><span class="s1">'o'</span><span class="p">,</span> <span class="n">c</span><span class="o">=</span><span class="n">Y1</span><span class="p">)</span>
<a href="http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.subplot"><span class="n">plt</span><span class="o">.</span><span class="n">subplot</span></a><span class="p">(</span><span class="mi">326</span><span class="p">)</span>
<a href="http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.title"><span class="n">plt</span><span class="o">.</span><span class="n">title</span></a><span class="p">(</span><span class="s2">"Gaussian divided into three quantiles"</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="s1">'small'</span><span class="p">)</span>
<span class="n">X1</span><span class="p">,</span> <span class="n">Y1</span> <span class="o">=</span> <a href="../../modules/generated/sklearn.datasets.make_gaussian_quantiles.html#sklearn.datasets.make_gaussian_quantiles"><span class="n">make_gaussian_quantiles</span></a><span class="p">(</span><span class="n">n_features</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">n_classes</span><span class="o">=</span><span class="mi">3</span><span class="p">)</span>
<a href="http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.scatter"><span class="n">plt</span><span class="o">.</span><span class="n">scatter</span></a><span class="p">(</span><span class="n">X1</span><span class="p">[:,</span> <span class="mi">0</span><span class="p">],</span> <span class="n">X1</span><span class="p">[:,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">marker</span><span class="o">=</span><span class="s1">'o'</span><span class="p">,</span> <span class="n">c</span><span class="o">=</span><span class="n">Y1</span><span class="p">)</span>
<a href="http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.show"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
</pre></div>
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<p><strong>Total running time of the example:</strong> 0.38 seconds
( 0 minutes 0.38 seconds)</p>
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