[HTML][HTML] Analyzing the Impact of Feature Selection on Crop Yield Prediction

J Hajgude, T Sarode - Journal of Computer and Communications, 2024 - scirp.org
In agriculture sector, machine learning has been widely used by researchers for crop yield
prediction. However, it is quite difficult to identify the most critical features from a dataset …

Preprocessing Data dan Klasifikasi untuk Prediksi Kinerja Akademik Siswa

T Gori, A Sunyoto, H Al Fatta - Jurnal Teknologi Informasi dan Ilmu …, 2024 - jtiik.ub.ac.id
Pendidikan merupakan aspek penting dalam kehidupan masyarakat dan memiliki peran
yang sangat vital untuk menciptakan sumber daya manusia yang handal dan berkualitas …

The application of naive bayes method for final project topic selection within the project-based learning framework in the data mining course

D Kurniadi - Jurnal EDUCATIO: Jurnal Pendidikan Indonesia, 2024 - jurnal.iicet.org
This study aims to explore the potential application of the Naive Bayes Method in predicting
the determination of final project topics for students within the context of project-based …

Employee Performance Assessment Model in Survey Service Companies Using Analytical Hierarchy Process and Naive Bayes

H Hindayanti, W Septiani, R Maulidya - Spektrum Industri, 2024 - journal3.uad.ac.id
Assessment of the performance of employees of a survey service company produces a final
score that is not in accordance with the company's transformation strategy in responding to …

[PDF][PDF] An Appropriate Feature Selection Technique for Use on Socio-Demographic Predictor Variables to Enable Early Detection of Preeclampsia: A Review of …

AA Jamwa, M Mvurya, A Luvanda, P Kimetto - 2022 - academia.edu
Preeclampsia is categorized by the World Health Organization as one of the leading causes
of high morbidity and mortality in infant and mothers around the world. It accounts for …