phiusiil

Gaussian Naive Bayes (scikit-learn), for PhiUSIIL phishing URL classification. 202 parameters, served over HTTP.

k-Nearest Neighbours implemented from scratch, for PhiUSIIL phishing URL classification. 500,001 stored values in a NumPy .npz, no pickle, served over HTTP.

The IF3070 Foundations of Artificial Intelligence (STEI ITB, 2024/2025-1) coursework split of the PhiUSIIL Phishing URL Dataset — 140,404 labelled rows and a 10,000-row unlabelled holdout, CC BY 4.0. Mirrored on Hugging Face.

Gaussian Naive Bayes implemented from scratch, for PhiUSIIL phishing URL classification. 198 parameters in plain JSON, no pickle, served over HTTP.

k-Nearest Neighbours (scikit-learn), for PhiUSIIL phishing URL classification. 500,002 stored values, served over HTTP.

KNN and Gaussian Naive Bayes built twice, from scratch and with scikit-learn, over the 140,404-URL PhiUSIIL corpus. Coursework reimplementation, not a security product.