The demo program loads a 200-item set training data and a 40-item set of test data into memory. Next, the demo creates and trains a decision tree model using the DecisionTreeClassifier class from the ...
The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...
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