yanyoeurn/voice-scam-detector

Voice Call Scam Detection Model

random_forest + TfidfVectorizer (ngram (1, 3), max_features=5000).

Metrics (held-out test set)

Accuracy	Precision	Recall	F1	ROC-AUC
1.0000	1.0000	1.0000	1.0000	1.0000

• Dataset: BothBosu/scam-dialogue
• Train / test samples: 1280 / 320
• Features: 5000
• Trained: 2026-01-20T13:39:06.270933

Files

• voice_classifier.pkl
• voice_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/voice-scam-detector"
clf = joblib.load(hf_hub_download(repo, "voice_classifier.pkl"))
vec = joblib.load(hf_hub_download(repo, "voice_vectorizer.pkl"))

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