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adding xgboost code
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‎doc/pub/DecisionTrees/html/._DecisionTrees-bs000.html‎

Lines changed: 25 additions & 25 deletions
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@@ -101,37 +101,36 @@
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'___sec37'),
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('Now Bagging', 2, None, '___sec38'),
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('Making our own Bagging with Bootstrap', 2, None, '___sec39'),
104-
('Random forests', 2, None, '___sec40'),
105-
('Random Forest Algorithm', 2, None, '___sec41'),
104+
('Changing the Level of the Decision Tree', 2, None, '___sec40'),
105+
('Random forests', 2, None, '___sec41'),
106+
('Random Forest Algorithm', 2, None, '___sec42'),
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('Random Forests Compared with other Methods on the Cancer Data',
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2,
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None,
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'___sec42'),
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('Compare Bagging on Trees with Random Forests',
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2,
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None,
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'___sec43'),
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('Bootstrap with Random Forests Instead of a Single Tree',
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('Compare Bagging on Trees with Random Forests',
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2,
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None,
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'___sec44'),
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("Boosting, a Bird'e Eye", 2, None, '___sec45'),
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('Adaptive boosting: AdaBoost, Basic Algorithm',
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('Bootstrap with Random Forests Instead of a Single Tree, own '
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'Bagging',
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2,
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None,
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'___sec46'),
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('Basic Steps of AdaBoost', 2, None, '___sec47'),
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('Figure to Illustrate the Iterative Classification Process',
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'___sec45'),
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("Boosting, a Bird'e Eye", 2, None, '___sec46'),
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('Adaptive boosting: AdaBoost, Basic Algorithm',
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2,
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None,
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'___sec48'),
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'___sec47'),
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('Basic Steps of AdaBoost', 2, None, '___sec48'),
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('AdaBoost Examples', 2, None, '___sec49'),
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('Gradient boosting: Basics', 2, None, '___sec50'),
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('Gradient Boosting, algorithm', 2, None, '___sec51'),
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('Gradient Boosting, Examples', 2, None, '___sec52'),
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('Gradient Boots with Early Stopping', 2, None, '___sec53'),
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('XGBoost: Extreme Gradient Boosting', 2, None, '___sec54'),
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('Xgboost on the Cancer Data', 2, None, '___sec55')]}
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('Regression Case', 2, None, '___sec55'),
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('Xgboost on the Cancer Data', 2, None, '___sec56')]}
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end of tocinfo -->
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<body>
@@ -209,22 +208,23 @@
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs038.html#___sec37" style="font-size: 80%;">Please, not the moons again! Voting and Bagging</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs039.html#___sec38" style="font-size: 80%;">Now Bagging</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs040.html#___sec39" style="font-size: 80%;">Making our own Bagging with Bootstrap</a></li>
212-
<!-- navigation toc: --> <li><a href="._DecisionTrees-bs041.html#___sec40" style="font-size: 80%;">Random forests</a></li>
213-
<!-- navigation toc: --> <li><a href="._DecisionTrees-bs042.html#___sec41" style="font-size: 80%;">Random Forest Algorithm</a></li>
214-
<!-- navigation toc: --> <li><a href="._DecisionTrees-bs043.html#___sec42" style="font-size: 80%;">Random Forests Compared with other Methods on the Cancer Data</a></li>
215-
<!-- navigation toc: --> <li><a href="._DecisionTrees-bs044.html#___sec43" style="font-size: 80%;">Compare Bagging on Trees with Random Forests</a></li>
216-
<!-- navigation toc: --> <li><a href="._DecisionTrees-bs045.html#___sec44" style="font-size: 80%;">Bootstrap with Random Forests Instead of a Single Tree</a></li>
217-
<!-- navigation toc: --> <li><a href="._DecisionTrees-bs046.html#___sec45" style="font-size: 80%;">Boosting, a Bird'e Eye</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs047.html#___sec46" style="font-size: 80%;">Adaptive boosting: AdaBoost, Basic Algorithm</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs048.html#___sec47" style="font-size: 80%;">Basic Steps of AdaBoost</a></li>
220-
<!-- navigation toc: --> <li><a href="._DecisionTrees-bs049.html#___sec48" style="font-size: 80%;">Figure to Illustrate the Iterative Classification Process</a></li>
211+
<!-- navigation toc: --> <li><a href="._DecisionTrees-bs041.html#___sec40" style="font-size: 80%;">Changing the Level of the Decision Tree</a></li>
212+
<!-- navigation toc: --> <li><a href="._DecisionTrees-bs042.html#___sec41" style="font-size: 80%;">Random forests</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs043.html#___sec42" style="font-size: 80%;">Random Forest Algorithm</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs044.html#___sec43" style="font-size: 80%;">Random Forests Compared with other Methods on the Cancer Data</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs045.html#___sec44" style="font-size: 80%;">Compare Bagging on Trees with Random Forests</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs046.html#___sec45" style="font-size: 80%;">Bootstrap with Random Forests Instead of a Single Tree, own Bagging</a></li>
217+
<!-- navigation toc: --> <li><a href="._DecisionTrees-bs047.html#___sec46" style="font-size: 80%;">Boosting, a Bird'e Eye</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs048.html#___sec47" style="font-size: 80%;">Adaptive boosting: AdaBoost, Basic Algorithm</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs049.html#___sec48" style="font-size: 80%;">Basic Steps of AdaBoost</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs050.html#___sec49" style="font-size: 80%;">AdaBoost Examples</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs051.html#___sec50" style="font-size: 80%;">Gradient boosting: Basics</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs052.html#___sec51" style="font-size: 80%;">Gradient Boosting, algorithm</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs053.html#___sec52" style="font-size: 80%;">Gradient Boosting, Examples</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs054.html#___sec53" style="font-size: 80%;">Gradient Boots with Early Stopping</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs055.html#___sec54" style="font-size: 80%;">XGBoost: Extreme Gradient Boosting</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs056.html#___sec55" style="font-size: 80%;">Xgboost on the Cancer Data</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs056.html#___sec55" style="font-size: 80%;">Regression Case</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs057.html#___sec56" style="font-size: 80%;">Xgboost on the Cancer Data</a></li>
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</ul>
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</li>
@@ -283,7 +283,7 @@
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<li><a href="._DecisionTrees-bs008.html">9</a></li>
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<li><a href="._DecisionTrees-bs009.html">10</a></li>
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<li><a href="">...</a></li>
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<li><a href="._DecisionTrees-bs056.html">57</a></li>
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<li><a href="._DecisionTrees-bs057.html">58</a></li>
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<li><a href="._DecisionTrees-bs001.html">&raquo;</a></li>
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</ul>
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<!-- ------------------- end of main content --------------- -->

‎doc/pub/DecisionTrees/html/._DecisionTrees-bs001.html‎

Lines changed: 25 additions & 25 deletions
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'___sec37'),
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('Now Bagging', 2, None, '___sec38'),
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('Making our own Bagging with Bootstrap', 2, None, '___sec39'),
104-
('Random forests', 2, None, '___sec40'),
105-
('Random Forest Algorithm', 2, None, '___sec41'),
104+
('Changing the Level of the Decision Tree', 2, None, '___sec40'),
105+
('Random forests', 2, None, '___sec41'),
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('Random Forest Algorithm', 2, None, '___sec42'),
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('Random Forests Compared with other Methods on the Cancer Data',
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2,
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None,
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'___sec42'),
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('Compare Bagging on Trees with Random Forests',
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2,
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None,
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'___sec43'),
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('Bootstrap with Random Forests Instead of a Single Tree',
111+
('Compare Bagging on Trees with Random Forests',
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2,
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None,
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'___sec44'),
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("Boosting, a Bird'e Eye", 2, None, '___sec45'),
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('Adaptive boosting: AdaBoost, Basic Algorithm',
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('Bootstrap with Random Forests Instead of a Single Tree, own '
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'Bagging',
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2,
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None,
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'___sec46'),
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('Basic Steps of AdaBoost', 2, None, '___sec47'),
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('Figure to Illustrate the Iterative Classification Process',
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'___sec45'),
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("Boosting, a Bird'e Eye", 2, None, '___sec46'),
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('Adaptive boosting: AdaBoost, Basic Algorithm',
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2,
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None,
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'___sec48'),
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'___sec47'),
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('Basic Steps of AdaBoost', 2, None, '___sec48'),
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('AdaBoost Examples', 2, None, '___sec49'),
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('Gradient boosting: Basics', 2, None, '___sec50'),
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('Gradient Boosting, algorithm', 2, None, '___sec51'),
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('Gradient Boosting, Examples', 2, None, '___sec52'),
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('Gradient Boots with Early Stopping', 2, None, '___sec53'),
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('XGBoost: Extreme Gradient Boosting', 2, None, '___sec54'),
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('Xgboost on the Cancer Data', 2, None, '___sec55')]}
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('Regression Case', 2, None, '___sec55'),
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('Xgboost on the Cancer Data', 2, None, '___sec56')]}
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end of tocinfo -->
136135

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<body>
@@ -209,22 +208,23 @@
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs038.html#___sec37" style="font-size: 80%;">Please, not the moons again! Voting and Bagging</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs039.html#___sec38" style="font-size: 80%;">Now Bagging</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs040.html#___sec39" style="font-size: 80%;">Making our own Bagging with Bootstrap</a></li>
212-
<!-- navigation toc: --> <li><a href="._DecisionTrees-bs041.html#___sec40" style="font-size: 80%;">Random forests</a></li>
213-
<!-- navigation toc: --> <li><a href="._DecisionTrees-bs042.html#___sec41" style="font-size: 80%;">Random Forest Algorithm</a></li>
214-
<!-- navigation toc: --> <li><a href="._DecisionTrees-bs043.html#___sec42" style="font-size: 80%;">Random Forests Compared with other Methods on the Cancer Data</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs044.html#___sec43" style="font-size: 80%;">Compare Bagging on Trees with Random Forests</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs045.html#___sec44" style="font-size: 80%;">Bootstrap with Random Forests Instead of a Single Tree</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs046.html#___sec45" style="font-size: 80%;">Boosting, a Bird'e Eye</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs047.html#___sec46" style="font-size: 80%;">Adaptive boosting: AdaBoost, Basic Algorithm</a></li>
219-
<!-- navigation toc: --> <li><a href="._DecisionTrees-bs048.html#___sec47" style="font-size: 80%;">Basic Steps of AdaBoost</a></li>
220-
<!-- navigation toc: --> <li><a href="._DecisionTrees-bs049.html#___sec48" style="font-size: 80%;">Figure to Illustrate the Iterative Classification Process</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs041.html#___sec40" style="font-size: 80%;">Changing the Level of the Decision Tree</a></li>
212+
<!-- navigation toc: --> <li><a href="._DecisionTrees-bs042.html#___sec41" style="font-size: 80%;">Random forests</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs043.html#___sec42" style="font-size: 80%;">Random Forest Algorithm</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs044.html#___sec43" style="font-size: 80%;">Random Forests Compared with other Methods on the Cancer Data</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs045.html#___sec44" style="font-size: 80%;">Compare Bagging on Trees with Random Forests</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs046.html#___sec45" style="font-size: 80%;">Bootstrap with Random Forests Instead of a Single Tree, own Bagging</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs047.html#___sec46" style="font-size: 80%;">Boosting, a Bird'e Eye</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs048.html#___sec47" style="font-size: 80%;">Adaptive boosting: AdaBoost, Basic Algorithm</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs049.html#___sec48" style="font-size: 80%;">Basic Steps of AdaBoost</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs050.html#___sec49" style="font-size: 80%;">AdaBoost Examples</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs051.html#___sec50" style="font-size: 80%;">Gradient boosting: Basics</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs052.html#___sec51" style="font-size: 80%;">Gradient Boosting, algorithm</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs053.html#___sec52" style="font-size: 80%;">Gradient Boosting, Examples</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs054.html#___sec53" style="font-size: 80%;">Gradient Boots with Early Stopping</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs055.html#___sec54" style="font-size: 80%;">XGBoost: Extreme Gradient Boosting</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs056.html#___sec55" style="font-size: 80%;">Xgboost on the Cancer Data</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs056.html#___sec55" style="font-size: 80%;">Regression Case</a></li>
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<!-- navigation toc: --> <li><a href="._DecisionTrees-bs057.html#___sec56" style="font-size: 80%;">Xgboost on the Cancer Data</a></li>
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<li><a href="._DecisionTrees-bs009.html">10</a></li>
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<li><a href="._DecisionTrees-bs010.html">11</a></li>
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<li><a href="">...</a></li>
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<li><a href="._DecisionTrees-bs056.html">57</a></li>
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<li><a href="._DecisionTrees-bs057.html">58</a></li>
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<li><a href="._DecisionTrees-bs002.html">&raquo;</a></li>
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</ul>
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<!-- ------------------- end of main content --------------- -->

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