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<li class="toctree-l1 has-children"><a class="reference internal" href="sklearn.decomposition.html">sklearn.decomposition</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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<li class="toctree-l1 current active has-children"><a class="current reference internal" href="#">sklearn.ensemble</a><details open="open"><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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  <section id="module-sklearn.ensemble">
<span id="sklearn-ensemble"></span><span id="ensemble-ref"></span><h1>sklearn.ensemble<a class="headerlink" href="#module-sklearn.ensemble" title="Link to this heading">#</a></h1>
<p>Ensemble-based methods for classification, regression and anomaly detection.</p>
<p><strong>User guide.</strong> See the <a class="reference internal" href="../modules/ensemble.html#ensemble"><span class="std std-ref">Ensembles: Gradient boosting, random forests, bagging, voting, stacking</span></a> section for further details.</p>
<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="../modules/generated/sklearn.ensemble.AdaBoostClassifier.html#sklearn.ensemble.AdaBoostClassifier" title="sklearn.ensemble.AdaBoostClassifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AdaBoostClassifier</span></code></a></p></td>
<td><p>An AdaBoost classifier.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="../modules/generated/sklearn.ensemble.AdaBoostRegressor.html#sklearn.ensemble.AdaBoostRegressor" title="sklearn.ensemble.AdaBoostRegressor"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AdaBoostRegressor</span></code></a></p></td>
<td><p>An AdaBoost regressor.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="../modules/generated/sklearn.ensemble.BaggingClassifier.html#sklearn.ensemble.BaggingClassifier" title="sklearn.ensemble.BaggingClassifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaggingClassifier</span></code></a></p></td>
<td><p>A Bagging classifier.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="../modules/generated/sklearn.ensemble.BaggingRegressor.html#sklearn.ensemble.BaggingRegressor" title="sklearn.ensemble.BaggingRegressor"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaggingRegressor</span></code></a></p></td>
<td><p>A Bagging regressor.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="../modules/generated/sklearn.ensemble.ExtraTreesClassifier.html#sklearn.ensemble.ExtraTreesClassifier" title="sklearn.ensemble.ExtraTreesClassifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ExtraTreesClassifier</span></code></a></p></td>
<td><p>An extra-trees classifier.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="../modules/generated/sklearn.ensemble.ExtraTreesRegressor.html#sklearn.ensemble.ExtraTreesRegressor" title="sklearn.ensemble.ExtraTreesRegressor"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ExtraTreesRegressor</span></code></a></p></td>
<td><p>An extra-trees regressor.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="../modules/generated/sklearn.ensemble.GradientBoostingClassifier.html#sklearn.ensemble.GradientBoostingClassifier" title="sklearn.ensemble.GradientBoostingClassifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GradientBoostingClassifier</span></code></a></p></td>
<td><p>Gradient Boosting for classification.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="../modules/generated/sklearn.ensemble.GradientBoostingRegressor.html#sklearn.ensemble.GradientBoostingRegressor" title="sklearn.ensemble.GradientBoostingRegressor"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GradientBoostingRegressor</span></code></a></p></td>
<td><p>Gradient Boosting for regression.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="../modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html#sklearn.ensemble.HistGradientBoostingClassifier" title="sklearn.ensemble.HistGradientBoostingClassifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">HistGradientBoostingClassifier</span></code></a></p></td>
<td><p>Histogram-based Gradient Boosting Classification Tree.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="../modules/generated/sklearn.ensemble.HistGradientBoostingRegressor.html#sklearn.ensemble.HistGradientBoostingRegressor" title="sklearn.ensemble.HistGradientBoostingRegressor"><code class="xref py py-obj docutils literal notranslate"><span class="pre">HistGradientBoostingRegressor</span></code></a></p></td>
<td><p>Histogram-based Gradient Boosting Regression Tree.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="../modules/generated/sklearn.ensemble.IsolationForest.html#sklearn.ensemble.IsolationForest" title="sklearn.ensemble.IsolationForest"><code class="xref py py-obj docutils literal notranslate"><span class="pre">IsolationForest</span></code></a></p></td>
<td><p>Isolation Forest Algorithm.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="../modules/generated/sklearn.ensemble.RandomForestClassifier.html#sklearn.ensemble.RandomForestClassifier" title="sklearn.ensemble.RandomForestClassifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RandomForestClassifier</span></code></a></p></td>
<td><p>A random forest classifier.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="../modules/generated/sklearn.ensemble.RandomForestRegressor.html#sklearn.ensemble.RandomForestRegressor" title="sklearn.ensemble.RandomForestRegressor"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RandomForestRegressor</span></code></a></p></td>
<td><p>A random forest regressor.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="../modules/generated/sklearn.ensemble.RandomTreesEmbedding.html#sklearn.ensemble.RandomTreesEmbedding" title="sklearn.ensemble.RandomTreesEmbedding"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RandomTreesEmbedding</span></code></a></p></td>
<td><p>An ensemble of totally random trees.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="../modules/generated/sklearn.ensemble.StackingClassifier.html#sklearn.ensemble.StackingClassifier" title="sklearn.ensemble.StackingClassifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">StackingClassifier</span></code></a></p></td>
<td><p>Stack of estimators with a final classifier.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="../modules/generated/sklearn.ensemble.StackingRegressor.html#sklearn.ensemble.StackingRegressor" title="sklearn.ensemble.StackingRegressor"><code class="xref py py-obj docutils literal notranslate"><span class="pre">StackingRegressor</span></code></a></p></td>
<td><p>Stack of estimators with a final regressor.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="../modules/generated/sklearn.ensemble.VotingClassifier.html#sklearn.ensemble.VotingClassifier" title="sklearn.ensemble.VotingClassifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">VotingClassifier</span></code></a></p></td>
<td><p>Soft Voting/Majority Rule classifier for unfitted estimators.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="../modules/generated/sklearn.ensemble.VotingRegressor.html#sklearn.ensemble.VotingRegressor" title="sklearn.ensemble.VotingRegressor"><code class="xref py py-obj docutils literal notranslate"><span class="pre">VotingRegressor</span></code></a></p></td>
<td><p>Prediction voting regressor for unfitted estimators.</p></td>
</tr>
</tbody>
</table>
</div>
</section>


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