WickDager/gender-prediction-lightgbm

Gender Prediction Model for Targeted Advertising

Model Description

LightGBM classifier trained on user behavior data to predict gender (Male/Female) for ad targeting. Achieves 82.3% accuracy and 0.817 F1-score.

Features

• User Agent parsing (browser, OS, mobile/tablet)
• Geographic data (country, region, timezone)
• Referer vector components (10-dimensional embedding)
• Time features (hour, weekday, weekend)

Performance

Metric	Score
Accuracy	0.823
Precision	0.805
Recall	0.828
F1-Score	0.817

Usage

import joblib
model = joblib.load('gender_classifier.pkl')
imputer = joblib.load('imputer.pkl')
# Preprocess data using same steps as training
# Then predict