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BBBahati Brenda Kizitogodfident-data.hashnode.devAug 15 · 8 min read

99% Accuracy Is Not Always Good: What Fraud Detection Taught Me About ML

I built a fraud detection model that hit 99% accuracy. I was proud of it for about twelve minutes. Then I looked closer and realized the model was basically doing nothing useful. This is the story of

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JCJuan Carlos Olamendyjuancolamendy.hashnode.devMar 8, 2024 · 9 min read

Tackling the Challenge of Imbalanced Datasets: A Comprehensive Guide

Have you ever trained a model that seemed perfect during development but performed poorly in real-life scenarios, especially when dealing with rare events or classes? This is a common pitfall when working with imbalanced datasets, a prevalent issue i...

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AKAkash Kumarakashkunwar.hashnode.devApr 22, 2023 · 3 min read

Understanding Imbalanced Datasets and their Impact on Machine Learning

Imbalanced learning is a subset of machine learning that deals with datasets in which the distribution of classes is significantly imbalanced. In such datasets, the number of instances of one class is much higher than the other class or classes. For ...

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SGSaumya Guptasaumyagupta.hashnode.devApr 21, 2023 · 11 min read

Tackling Imbalanced Data in Machine Learning: Techniques for Accurate Predictions

Introduction Imagine you have a bag of different coloured balls - red, blue, and green. Now, imagine that you have 10 red balls, 5 blue balls, and only 1 green ball. This means that you have more red balls than blue balls and much fewer green balls. ...

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SNSanjay Nandakumarsanjay7907.hashnode.devMar 10, 2023 · 4 min read

Managing Imbalanced Data in Machine Learning: A beginner's guide

Introduction Imbalanced data, when one class predominates over the other, is one of the most frequent issues when working with classification tasks in Machine learning. For instance, in the job of detecting credit card fraud, there will be many fewer...

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PDPinak Dattapinakdatta.hashnode.devFeb 10, 2023 · 3 min read

Handling Imbalanced Data in Machine Learning

Introduction: Machine Learning has been a revolutionary technology in data analysis and prediction. However, one of the major challenges in Machine Learning is handling imbalanced data. In this article, we'll discuss the impact of imbalanced data on ...

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#imbalanceddata

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99% Accuracy Is Not Always Good: What Fraud Detection Taught Me About ML

Tackling the Challenge of Imbalanced Datasets: A Comprehensive Guide

Understanding Imbalanced Datasets and their Impact on Machine Learning

Tackling Imbalanced Data in Machine Learning: Techniques for Accurate Predictions

Managing Imbalanced Data in Machine Learning: A beginner's guide

Handling Imbalanced Data in Machine Learning

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