DT Implementation Steps: 1 to 4
We will start to get familiarized with the implementation steps (1-4) of decision trees.
We'll cover the following
1) Import libraries
While decision trees can solve regression or classification problems, we will use the classification version of the algorithm as we will be predicting a discrete variable. Using the DecisionTreeClassifier
algorithm from Scikit-learn
, we will attempt to predict the dependent variable Clicked on Ad
(0 or 1). The performance of the model will be evaluated using a classification report and a confusion matrix.
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