6.7.1 Classify Data

6.7.1.1 Prepare Data for a Classification Model

6.7.1.2 Train a Classification Model

6.7.1.3 Generate Predictions for a Classification Model

6.7.1.4 Query Model Explanation and Generate Prediction Explanations for a Classification Model

6.7.1.5 Score a Classification Model

Classification models predict the discrete value of input data to specific predefined categories. Some examples of classification include loan approvals, churn prediction, and spam detection.

The following tasks use a dataset generated by OCI GenAI using Meta Llama Models. The classification use-case is to approve or reject loan applications for clients based on their personal and socioeconomic status, assets, liabilities, credit rating, and past loan details.

To generate your own datasets to create machine learning models in MySQL HeatWave, learn how to Generate Text-Based Content.

Note

Datasets were generated using Meta Llama models. Your use of this Llama model is subject to your Oracle agreements and this Llama license agreement: https://downloads.mysql.com/docs/LLAMA_31_8B_INSTRUCT-license.pdf.