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.

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

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

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.