<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[Anthony  MTH 463]]></title><description><![CDATA[Anthony Mth 463]]></description><link>https://www.acmth463.com/blog</link><generator>RSS for Node</generator><lastBuildDate>Thu, 11 Jun 2026 16:14:52 GMT</lastBuildDate><atom:link href="https://www.acmth463.com/blog-feed.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[CFC model of BDC companies, time series modeling of credit line utilization and macro considerations  ]]></title><description><![CDATA[Hello! Sorry for the late link to this. I was spending most of the time resurrecting my project from an object failure to a workable model. To preface, the original model was taking EDGER data from the API and filtering the data into a binary class CFC header, which at the time was successful, but this was a result of overfitting from an imbalanced dataset. I tried a 4-head class looking at distress, at-risk utilization, and other factors. The issue resulted in extremely weak results and even...]]></description><link>https://www.acmth463.com/post/cfc-model-of-bdc-companies-time-series-modeling-of-credit-line-utilization-and-macro-considerations</link><guid isPermaLink="false">6a0228fb0e085586d4799464</guid><pubDate>Mon, 11 May 2026 19:24:56 GMT</pubDate><dc:creator>acascio84</dc:creator></item></channel></rss>