Prompt Design through ChatGPT’s Zero-Shot Learning Prompts: A Case of Cost-Sensitive Learning on a Water Potability Dataset

Prompt Design through ChatGPT’s Zero-Shot Learning Prompts: A Case of Cost-Sensitive Learning on a Water Potability Dataset

Datasets used in AI applications for human health require careful selection. In healthcare, machine learning (ML) models are fine-tuned to reduce errors, and our study focuses on minimizing errors by generating code snippets for cost-sensitive learning using water potability datasets. Water potabili...

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Bibliographic Details
Main Authors: Kokisa Phorah, Malusi Sibiya, Mbuyu Sumbwanyambe
Format: Article
Language:English
Published: MDPI AG 2024-04-01
Series:Informatics
Subjects:
ChatGPT
water potability
water quality
machine learning
zero shot-learning
cost-sensitive learning
Online Access:https://www.mdpi.com/2227-9709/11/2/27

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https://www.mdpi.com/2227-9709/11/2/27

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