Abstract: Data discretization plays a critical role in enhancing the performance of the naive Bayes classifier. Traditional data discretization methods often utilize a two-stage framework, where data ...
The probability is calculated by means of Kernel Density Estimation (KDE). The probability for each class does not use all variables, but only those that are relevant for each specific class. From the ...
Abstract: The existence of the Kartu Indonesia Pintar (KIP) or smart Indonesia Card program can help underprivileged people to continue their education in higher education. However, there are still ...
Telecom Fraud Detection: SMS Spam Classifier built with Python, Scikit-learn, and Streamlit. Achieves ~98% accuracy using TF-IDF + Naive Bayes. Includes EDA, fraud trend visualization, and real-time ...
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