Although we can still use the data from the CSV file, GridDB offers a number of benefits, especially improved query performance. csv file named gym.csv, but we need to move it to GridDB. We will be predicting whether an individual will go to the gym or not based on their age and weight. In this article, we will be discussing how to implement the Decision Tree algorithm in Java. The Decision Tree algorithm classifies examples by sorting them right from the root node to the leaf/terminal node, classifying the example. Based on the comparison, we follow the branch that corresponds to that value and proceed to the next node. The values of the root attribute are then compared with the record’s attribute. When using Decision Trees to predict the class label for a record, we begin from the root of the tree. The goal of this algorithm is to create a model that can predict the value or class of the target variable by learning decision rules inferred from training data. Decision Tree is a supervised machine learning algorithm that can be used to solve both classification and regression problems.
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