<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>PCA on Abhijith Nagarajan</title><link>https://abhijith-nagarajan.com/tags/pca/</link><description>Recent content in PCA on Abhijith Nagarajan</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 22 Jan 2024 00:00:00 +0000</lastBuildDate><atom:link href="https://abhijith-nagarajan.com/tags/pca/index.xml" rel="self" type="application/rss+xml"/><item><title>Loan Defaulter Credit Risk — Imbalanced Classification Study</title><link>https://abhijith-nagarajan.com/projects/loan-defaulter-imbalanced-classification/</link><pubDate>Mon, 22 Jan 2024 00:00:00 +0000</pubDate><guid>https://abhijith-nagarajan.com/projects/loan-defaulter-imbalanced-classification/</guid><description>A systematic study of imbalanced classification techniques on the Home Credit Default Risk dataset (91/9 class split). Final pipeline achieved 0.55 PR-AUC with Logistic Regression and HistGradientBoosting, combining class weighting and threshold tuning. Compared five approaches × three classifiers; Optuna for hyperparameter search; F2 and PR-AUC as the evaluation lens.</description></item></channel></rss>