The dataset used depicts a real-life application of Decision Trees in machine learning. We used a cancer dataset to predict what makes a patient's case malignant or not. To explore the real power of decision trees, we use a medical dataset that exhibits real life non-linearity with a complex error surface.
Getting and preparing real-world medical data for exploring Decision Trees and Ensemble models in Spark 2.0
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