Work

Weather Forecasting using Decision Tree Regression

Year: 2022

Type: article

Abstract: Weather forecasting [1] is one of the most scientifically and technologically challenging problems around the world in the last century. To make an accurate prediction is indeed, one of the major challenges that meteorologists are facing all over the world. This research work is based on weather prediction using machine learning using the DTR which will help us in getting good accuracy for the weather prediction and prediction of the future weather. The research also demonstrates the existence of a long term trend in the accuracy of the forecasts. KEYWORDS : LR(Linear Regression), DTR(Decision Tree Regression).

Source: INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT

DOI: 10.55041/ijsrem16084

Author: Amanpreet Kaur

Institution: Rayat Institute of Engineering & Information Technology

Language: English

Topic: Data Mining and Machine Learning Applications

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W4292178564

FWCI: 0.243

Cites: 10

Cited by: 1

Related to: 10