Classification and regression overview

A regression model analyzes your tabular data and returns a numeric value. For example, you could train a model to estimate the value of a house.

A classification model analyzes your tabular data and returns a list of categories that describe the data. For example, you could train a model to predict whether the purchase history for a customer predicts that they will buy a subscription or not.

Workflow for creating a classification or regression model and making predictions

The process for creating a classification or regression model in Vertex AI is as follows:

Steps Description
1. Prepare tabular training data Prepare your tabular training data for model training.
2. Create a dataset Create a new dataset and associate your prepared training data to it.
3. Train a model Train a classification or regression model in Vertex AI using your dataset.
4. Evaluate your model Evaluate your newly trained model for prediction accuracy.
5. Get predictions from your model

If you want real-time predictions, you can deploy your model and get online predictions.

If you don't need real-time predictions, you can make batch predictions requests directly to your model.