My Data Analytics Journey | Machine Learning - Classification Tree
Introduction to Machine Learning (ML) - Classification Tree What is Machine Learning? Machine learning involves creating and teaching models how to recognise patterns in datasets such that they can be used for prediction. For instance, if you have a dataset that says student A has height of 1.5m and weight of 50kg, and student B of height 1.75m and weight 75 kg, a linear model might predict that student C who has height of 2m will have a weight of 100kg. However, the actual weight of the student of height 2m might not be exactly 100kg, but it should be close if the model is accurate. This linear regression model is a simple example of supervised machine learning, where we know the y-values in the training dataset which is the weight. Another example of this is the classification tree, where we can traverse the tree to find out the important factors that affect the classification. For instance, suppose we wish to find out if a member of a popular gym, sweat45, will renew his ...
