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<li><a class="reference internal" href="#"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.datasets</span></code>.load_boston</a><ul>
<li><a class="reference internal" href="#examples-using-sklearn-datasets-load-boston">Examples using <code class="docutils literal notranslate"><span class="pre">sklearn.datasets.load_boston</span></code></a></li>
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<div class="section" id="sklearn-datasets-load-boston">
<h1><a class="reference internal" href="../classes.html#module-sklearn.datasets" title="sklearn.datasets"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.datasets</span></code></a>.load_boston<a class="headerlink" href="#sklearn-datasets-load-boston" title="Permalink to this headline">¶</a></h1>
<dl class="function">
<dt id="sklearn.datasets.load_boston">
<code class="sig-prename descclassname">sklearn.datasets.</code><code class="sig-name descname">load_boston</code><span class="sig-paren">(</span><em class="sig-param">*</em>, <em class="sig-param">return_X_y=False</em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/scikit-learn/scikit-learn/blob/0fb307bf3/sklearn/datasets/_base.py#L948"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#sklearn.datasets.load_boston" title="Permalink to this definition">¶</a></dt>
<dd><p>Load and return the boston house-prices dataset (regression).</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 50%" />
<col style="width: 50%" />
</colgroup>
<tbody>
<tr class="row-odd"><td><p>Samples total</p></td>
<td><p>506</p></td>
</tr>
<tr class="row-even"><td><p>Dimensionality</p></td>
<td><p>13</p></td>
</tr>
<tr class="row-odd"><td><p>Features</p></td>
<td><p>real, positive</p></td>
</tr>
<tr class="row-even"><td><p>Targets</p></td>
<td><p>real 5. - 50.</p></td>
</tr>
</tbody>
</table>
<p>Read more in the <a class="reference internal" href="../../datasets/index.html#boston-dataset"><span class="std std-ref">User Guide</span></a>.</p>
<dl class="field-list">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><dl>
<dt><strong>return_X_y</strong><span class="classifier">bool, default=False.</span></dt><dd><p>If True, returns <code class="docutils literal notranslate"><span class="pre">(data,</span> <span class="pre">target)</span></code> instead of a Bunch object.
See below for more information about the <code class="docutils literal notranslate"><span class="pre">data</span></code> and <code class="docutils literal notranslate"><span class="pre">target</span></code> object.</p>
<div class="versionadded">
<p><span class="versionmodified added">New in version 0.18.</span></p>
</div>
</dd>
</dl>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><dl>
<dt><strong>data</strong><span class="classifier"><a class="reference internal" href="sklearn.utils.Bunch.html#sklearn.utils.Bunch" title="sklearn.utils.Bunch"><code class="xref py py-class docutils literal notranslate"><span class="pre">Bunch</span></code></a></span></dt><dd><p>Dictionary-like object, with the following attributes.</p>
<dl>
<dt>data<span class="classifier">ndarray of shape (506, 13)</span></dt><dd><p>The data matrix.</p>
</dd>
<dt>target<span class="classifier">ndarray of shape (506, )</span></dt><dd><p>The regression target.</p>
</dd>
<dt>filename<span class="classifier">str</span></dt><dd><p>The physical location of boston csv dataset.</p>
<div class="versionadded">
<p><span class="versionmodified added">New in version 0.20.</span></p>
</div>
</dd>
<dt>DESCR<span class="classifier">str</span></dt><dd><p>The full description of the dataset.</p>
</dd>
<dt>feature_names<span class="classifier">ndarray</span></dt><dd><p>The names of features</p>
</dd>
</dl>
</dd>
<dt><strong>(data, target)</strong><span class="classifier">tuple if <code class="docutils literal notranslate"><span class="pre">return_X_y</span></code> is True</span></dt><dd><div class="versionadded">
<p><span class="versionmodified added">New in version 0.18.</span></p>
</div>
</dd>
</dl>
</dd>
</dl>
<p class="rubric">Notes</p>
<div class="versionchanged">
<p><span class="versionmodified changed">Changed in version 0.20: </span>Fixed a wrong data point at [445, 0].</p>
</div>
<p class="rubric">Examples</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">from</span> <span class="nn">sklearn.datasets</span> <span class="kn">import</span> <span class="n">load_boston</span>
<span class="gp">>>> </span><span class="n">X</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="n">load_boston</span><span class="p">(</span><span class="n">return_X_y</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="gp">>>> </span><span class="nb">print</span><span class="p">(</span><span class="n">X</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
<span class="go">(506, 13)</span>
</pre></div>
</div>
</dd></dl>
<div class="section" id="examples-using-sklearn-datasets-load-boston">
<h2>Examples using <code class="docutils literal notranslate"><span class="pre">sklearn.datasets.load_boston</span></code><a class="headerlink" href="#examples-using-sklearn-datasets-load-boston" title="Permalink to this headline">¶</a></h2>
<div class="sphx-glr-thumbcontainer" tooltip="Demonstrate how model complexity influences both prediction accuracy and computational performa..."><div class="figure align-default" id="id1">
<img alt="Model Complexity Influence" src="../../_images/sphx_glr_plot_model_complexity_influence_thumb.png" />
<p class="caption"><span class="caption-text"><a class="reference internal" href="../../auto_examples/applications/plot_model_complexity_influence.html#sphx-glr-auto-examples-applications-plot-model-complexity-influence-py"><span class="std std-ref">Model Complexity Influence</span></a></span><a class="headerlink" href="#id1" title="Permalink to this image">¶</a></p>
</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="In this example, we give an overview of the sklearn.compose.TransformedTargetRegressor. Two exa..."><div class="figure align-default" id="id2">
<img alt="Effect of transforming the targets in regression model" src="../../_images/sphx_glr_plot_transformed_target_thumb.png" />
<p class="caption"><span class="caption-text"><a class="reference internal" href="../../auto_examples/compose/plot_transformed_target.html#sphx-glr-auto-examples-compose-plot-transformed-target-py"><span class="std std-ref">Effect of transforming the targets in regression model</span></a></span><a class="headerlink" href="#id2" title="Permalink to this image">¶</a></p>
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