Abstract :

Nowadays, Numerology Is Used For The Prediction Of Future Events. It Will Be Helpful For The Candidate If He Knows About A Suitable Profession In Advance, They Can Do Their Best In The Future. Our System Is Based On Ensemble Learning Models. The Proposed Models Signify The Job By Using The Input Features Related To The Lo-Shu Grid. The Lo-Shu Grid, Known As The Magic Square Of Order Three (3x3) Is A Grid Containing The Numbers 1 To 9, Where The Sum Of Each Row, Column, And Diagonal Is Equal To The Same Constant Value. It Is An Ancient Mathematical Concept Used For Divination. We Prepared The Labelled Dataset Containing Instances Of Two Classes: Teacher And Non-teacher. This Paper Has 15,000 Instances In The Dataset, In Which 6,500 Instances Belong To Teachers And 8,500 Instances Belong To Non-teaching. The Classified Dataset Has Used Ensemble Learning To Improve The Accuracy Value. Further Ensemble Learning-based Machine Learning Models—decision Tree, Random Forest, AdaBoost, CatBoost, Gradient Boosting, And Extreme Gradient Boosting Are Trained Using This Dataset To Predict The Profession. During The Performance Evaluation, It Was Found That Random Forest Performed Well Compare To The Other Algorithms, With 65.8% Accuracy. Keywords—Lo-Shu Grid, Zodiac Signs, Model Performance, Accuracy Comparison, ROC Curve

Published:

25-9-2025

Issue:

Vol. 25 No. 9 (2025)

Page Nos:

267-272

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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