frequency-encoding

MQM Wave-based computing/ALU (CPU/GPU/NPU) and Data Transfer Systems for Optics and HBM(Prior Art, 2026.03.04)

B2B sales lead quality prediction using XGBoost classifier. Achieves 81.06% ROC AUC and 84.74% recall on 7,420 IT sales leads. Handles class imbalance, high-cardinality categoricals, and missing data through frequency encoding and threshold optimization. Includes statistical analysis, cross-validation, feature importance, and business insights.

Mostl oftenly used Encoding techniques for categorical Varibales are performed here.

XGBoost fraud detection pipeline with advanced feature engineering for IEEE-CIS, focusing on cardholder UID, D‑column normalization, and group aggregations.

Practical implementation of categorical encoding techniques on the Ames Housing dataset using Label Encoding, One-Hot Encoding, and Frequency Encoding, with visualizations and correlation analysis against SalePrice.