yanyoeurn/phishing-detector

Phishing Detection Model (URLs, Emails, SMS)

random_forest + TfidfVectorizer (ngram (1, 2), max_features=5000).

Metrics (held-out test set)

Accuracy	Precision	Recall	F1	ROC-AUC
0.8095	0.8274	0.7799	0.8030	0.8908

• Dataset: ealvaradob/phishing-dataset (combined_reduced)
• Train / test samples: 1680 / 420
• Features: 1496
• Trained: 2026-01-20T13:39:14.287339

Files

• phishing_classifier.pkl
• phishing_vectorizer.pkl

⚠️ scikit-learn version

Trained with scikit-learn 1.4.0. Install the same version to avoid InconsistentVersionWarning and possible silent breakage:

pip install scikit-learn==1.4.0 joblib huggingface_hub

Usage

import joblib
from huggingface_hub import hf_hub_download

repo = "yanyoeurn/phishing-detector"
clf = joblib.load(hf_hub_download(repo, "phishing_classifier.pkl"))
vec = joblib.load(hf_hub_download(repo, "phishing_vectorizer.pkl"))

X = vec.transform(["your text here"])
print(clf.predict(X), clf.predict_proba(X))