UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

JETIREXPLORE- Search Thousands of research papers

WhatsApp Contact
Click Here

Published in:

Volume 11 Issue 12
December-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2412658


Registration ID:
552784

Page Number

g511-g515

Share This Article


Jetir RMS

Title

An efficient and robust expense tracker:comparing two algorithms-random forest and support vector regression

Abstract

This research investigates the effectiveness of two machine learning algorithms, Random Forest and Support Vector Regression, in building an efficient and robust expense tracker. An expense tracker is a tool designed to help individuals or organizations manage and track their spending patterns.

Key Words

Expense Tracker,Random Forest,Support Vector Regression,Machine Learning,Financial Prediction,Expense Prediction,

Cite This Article

"An efficient and robust expense tracker:comparing two algorithms-random forest and support vector regression", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 12, page no.g511-g515, December-2024, Available :http://www.jetir.org/papers/JETIR2412658.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"An efficient and robust expense tracker:comparing two algorithms-random forest and support vector regression", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 12, page no. ppg511-g515, December-2024, Available at : http://www.jetir.org/papers/JETIR2412658.pdf

Publication Details

Published Paper ID: JETIR2412658
Registration ID: 552784
Published In: Volume 11 | Issue 12 | Year December-2024
DOI (Digital Object Identifier):
Page No: g511-g515
Country: Bangalore, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIR2412658
Published Paper PDF: https://www.jetir.org/papers/JETIR2412658

Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000152

Print This Page

Current Call For Paper

Volume 12 | Issue 10
October 2025

Call for Paper
Cilck Here For More Info

Jetir RMS