6d ago · 9 min read · A Practical Guide to Tackling Class Imbalance in Tabular Datasets Imagine you’ve built a machine learning model to detect fraudulent credit card transactions. After weeks of feature engineering and hyperparameter tuning, your model reports 99% accura...
Join discussionSep 30, 2023 · 3 min read · 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 ...
Join discussionApr 1, 2018 · 5 min read · 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...
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