CurFi: An automated tool to find the best regression analysis model using curve fitting
This provides an incremental tool for researchers and non-expert users with limited technical knowledge to automate regression analysis.
The researchers tackled the tedious process of manual regression analysis on large datasets by developing an automated curve fitting system called CurFi, which uses linear regression models to find the best fit model for a dataset.
Regression analysis is a well known quantitative research method that primarily explores the relationship between one or more independent variables and a dependent variable. Conducting regression analysis manually on large datasets with multiple independent variables can be tedious. An automated system for regression analysis will be of great help for researchers as well as non-expert users. Thus, the objective of this research is to design and develop an automated curve fitting system. As outcome, a curve fitting system named "CurFi" was developed that uses linear regression models to fit a curve to a dataset and to find out the best fit model. The system facilitates to upload a dataset, split the dataset into training set and test set, select relevant features and label from the dataset; and the system will return the best fit linear regression model after training is completed. The developed tool would be a great resource for the users having limited technical knowledge who will also be able to find the best fit regression model for a dataset using the developed "CurFi" system.