From the course: Oracle Cloud Infrastructure AI Foundations Cert Prep

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Supervised learning: Classification

Supervised learning: Classification - Oracle Cloud Infrastructure Tutorial

From the course: Oracle Cloud Infrastructure AI Foundations Cert Prep

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Supervised learning: Classification

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(soft music) - [Hermant] Hello, and welcome to this lesson on supervised learning. In this lesson, we will discuss how classification works. In supervised machine learning model, the output can be either categorical or continuous. When the output is continuous, we use regression to predict a numeric output. And when the output is categorical, we use classification to predict a category or a label. We have seen regression earlier while building a house price predictor. On the other hand, classification is a supervised learning problem where the goal is to assign a category or label to the outcome. If the classifier predicts whether an email is a spam or not, then it is an example of a binary classification. If we set up a model for sentiment prediction, where a classifier can identify the positive, negative, and neutral sentiments in a given text is a multi-class classifier. Classification is a supervised machine learning technique used to categorize or assign data points into…

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