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Corrected intro

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cif2cif 2016-03-15 16:14:42 +01:00
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ml1/2_5_2_Decision_Tree_Model.ipynb
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@ -54,7 +54,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"The goal of this notebook is to learn how to learn how create a classification object using a [decision tree learning algorithm](https://en.wikipedia.org/wiki/Decision_tree_learning). \n",
"The goal of this notebook is to learn how create a classification object using a [decision tree learning algorithm](https://en.wikipedia.org/wiki/Decision_tree_learning). \n",
"\n",
"There are a number of well known machine learning algorithms for decision tree learning, such as ID3, C4.5, C5.0 and CART. The scikit-learn uses an optimised version of the [CART (Classification and Regression Trees) algorithm](https://en.wikipedia.org/wiki/Predictive_analytics#Classification_and_regression_trees).\n",
"\n",