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Title: :  Comparative Study of Random Forest and SVM for Daily Activity Level Prediction Using Wearable Device Data
PaperId: :  27392
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 4 2025
DUI:    16.0415/IJARIIE-27392
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
R DeekshayiniCMR University
K KanagalakshmiCMR University

Abstract

Computer Applications
Human Activity Recognition, Daily Activity Prediction, Random Forest, Support Vector Machine, Wearable Devices, Machine Learning, Feature Importance, ROC-AUC, Health Monitoring
Human activity recognition with wearable sensors has vast uses in health monitoring, exercise tracking, and lifestyle management. This paper provides a comparison of the Random Forest (RF) and Support Vector Machine (SVM) models for predicting daily activity levels from the dailyActivity_merged.csv dataset. The models classify days as active or inactive based on total steps and corresponding activity measures. Performance evaluation was done based on accuracy, precision, recall, F1-score, confusion matrices, and ROC/AUC curves. Experimental results show that Random Forest classifier performs better than SVM in all the measures, giving higher predictive accuracy and generalization. Moreover, feature importance analysis shows the most crucial activity parameters that contribute most towards active day prediction. The results highlight the value of machine learning methods in accurate activity classification and their utility for guiding individualized health interventions and exercise planning.

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IJARIIE R Deekshayini, and K Kanagalakshmi. "Comparative Study of Random Forest and SVM for Daily Activity Level Prediction Using Wearable Device Data" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 4 2025 Page 3804-3812
MLA R Deekshayini, and K Kanagalakshmi. "Comparative Study of Random Forest and SVM for Daily Activity Level Prediction Using Wearable Device Data." International Journal Of Advance Research And Innovative Ideas In Education 11.4(2025) : 3804-3812.
APA R Deekshayini, & K Kanagalakshmi. (2025). Comparative Study of Random Forest and SVM for Daily Activity Level Prediction Using Wearable Device Data. International Journal Of Advance Research And Innovative Ideas In Education, 11(4), 3804-3812.
Chicago R Deekshayini, and K Kanagalakshmi. "Comparative Study of Random Forest and SVM for Daily Activity Level Prediction Using Wearable Device Data." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 4 (2025) : 3804-3812.
Oxford R Deekshayini, and K Kanagalakshmi. 'Comparative Study of Random Forest and SVM for Daily Activity Level Prediction Using Wearable Device Data', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 4, 2025, p. 3804-3812. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Comparative_Study_of_Random_Forest_and_SVM_for_Daily_Activity_Level_Prediction_Using_Wearable_Device_Data_ijariie27392.pdf (Accessed : ).
Harvard R Deekshayini, and K Kanagalakshmi. (2025) 'Comparative Study of Random Forest and SVM for Daily Activity Level Prediction Using Wearable Device Data', International Journal Of Advance Research And Innovative Ideas In Education, 11(4), pp. 3804-3812IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Comparative_Study_of_Random_Forest_and_SVM_for_Daily_Activity_Level_Prediction_Using_Wearable_Device_Data_ijariie27392.pdf (Accessed : )
IEEE R Deekshayini, and K Kanagalakshmi, "Comparative Study of Random Forest and SVM for Daily Activity Level Prediction Using Wearable Device Data," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 4, pp. 3804-3812, Jul-Aug 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/Comparative_Study_of_Random_Forest_and_SVM_for_Daily_Activity_Level_Prediction_Using_Wearable_Device_Data_ijariie27392.pdf [Accessed : ].
Turabian R Deekshayini, and K Kanagalakshmi. "Comparative Study of Random Forest and SVM for Daily Activity Level Prediction Using Wearable Device Data." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 4 ().
Vancouver R Deekshayini, and K Kanagalakshmi. Comparative Study of Random Forest and SVM for Daily Activity Level Prediction Using Wearable Device Data. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(4) : 3804-3812. Available from: https://ijariie.com/AdminUploadPdf/Comparative_Study_of_Random_Forest_and_SVM_for_Daily_Activity_Level_Prediction_Using_Wearable_Device_Data_ijariie27392.pdf
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