--- title: "#smote articles | Hashnode" description: "Explore 5 articles tagged #smote on Hashnode. Tutorials, guides, and how-tos from the community." url: "https://hashnode.com/tag/smote" --- Tag # #smote 5 posts · 0 followers [Bahati Brenda Kizito](https://hashnode.com/@Lioness256) · [Aug 15](https://hashnode.com/posts/99-accuracy-is-not-always-good-what-fraud-detection-taught-me-about-ml/6a82f9adc962ba2c8a3e2de7) ### [99% Accuracy Is Not Always Good: What Fraud Detection Taught Me About ML](https://godfident-data.hashnode.dev/99-accuracy-is-not-always-good-what-fraud-detection-taught-me-about-ml?utm_source=hashnode&utm_medium=feed) My fraud detection model hit 99% accuracy and still failed. Here’s what imbalanced data, precision, recall, F1-score, confusion matrices, and SMOTE taught me the hard way. 8 min read · [godfident-data.hashnode.dev](https://godfident-data.hashnode.dev/99-accuracy-is-not-always-good-what-fraud-detection-taught-me-about-ml?utm_source=hashnode&utm_medium=feed) [ismail zamareh](https://hashnode.com/@ismailzamareh) · [May 6](https://hashnode.com/posts/a-practical-guide-to-tackling-class-imbalance-in-tabular-datasets/69fbbcd69facff139386b4ff) ### [A Practical Guide to Tackling Class Imbalance in Tabular Datasets](https://athar-automation.hashnode.dev/a-practical-guide-to-tackling-class-imbalance-in-tabular-datasets?utm_source=hashnode&utm_medium=feed) Comparative analysis of different categories of solutions for imbalanced tabular datasets — educational tutorial / beginner-friendly explainer with clear steps 9 min read · [athar-automation.hashnode.dev](https://athar-automation.hashnode.dev/a-practical-guide-to-tackling-class-imbalance-in-tabular-datasets?utm_source=hashnode&utm_medium=feed) [K Ahamed](https://hashnode.com/@datailm) · [Sep 30, 2023](https://hashnode.com/posts/addressing-imbalanced-datasets-in-machine-learning-leveraging-smote-nc-for-enhanced-classification-performance/651785427e1be90106edd38a) ### [Addressing Imbalanced Datasets in Machine Learning: Leveraging SMOTE-NC for Enhanced Classification Performance](https://datailm.hashnode.dev/addressing-imbalanced-datasets-in-machine-learning-leveraging-smote-nc-for-enhanced-classification-performance?utm_source=hashnode&utm_medium=feed) An imbalanced dataset in the context of machine learning is a dataset where the distribution of classes (categories) is not approximately equal. In other words, one class significantly outnumbers the other class or classes. This imbalance can create ... 3 min read · [datailm.hashnode.dev](https://datailm.hashnode.dev/addressing-imbalanced-datasets-in-machine-learning-leveraging-smote-nc-for-enhanced-classification-performance?utm_source=hashnode&utm_medium=feed) [Edward Tian](https://hashnode.com/@edward-ds) · [Apr 1, 2018](https://hashnode.com/posts/042018-handling-class-imbalance/682f7bf755ab388eb6b5c4a1) ### [Handling Class Imbalance](https://dsblog.hashnode.dev/042018-handling-class-imbalance?utm_source=hashnode&utm_medium=feed) What is class imbalance? When we’re dealing with a classification task, we have a model that tries to classify a record into some sort of category. Sometimes it’s whether or not a tumor is cancerous, or whether or not an application for a loan is acc... 5 min read · [dsblog.hashnode.dev](https://dsblog.hashnode.dev/042018-handling-class-imbalance?utm_source=hashnode&utm_medium=feed)