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Regresi Multivariate
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This project investigates corporate bankruptcy prediction through machine learning, employing K-Nearest Neighbors, Decision Trees, and Random Forest models. Using financial ratios and governance indicators from companies between 1999 and 2009, the study assesses model performance to identify the most accurate approach for classifying bankruptcy risk.
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DataViz Challenge 7
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