Jan 8 · 4 min read · Hit or Flop? A Simple Guide to How AI Makes Decisions What is Binary Classification? Before sinking millions into a film you want to know if it'll be a hit, when you're a movie studio executive. Well-known in the world of data science, binary classif...
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Oct 11, 2025 · 7 min read · #100WorkDays100Articles - Article 36 Your fraud detection model? 99% accurate. Your cancer screening AI? 95% accurate. Your hiring algorithm? 98% accurate. And they're all completely useless. Here's what nobody tells you: accuracy is the most mislead...
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Sep 18, 2025 · 3 min read · Imagine you built a machine learning model to classify images of fruit as either Apple or Banana. You test it on a bunch of fruit images and compare its predictions to the actual fruit type. The confusion matrix helps you visualize how well your mode...
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Jul 28, 2025 · 3 min read · 🤔 What is a Confusion Matrix? If you’ve just started learning Machine Learning, and you're hearing terms like True Positive, False Negative, and wondering what confusion matrix even means — this blog is for you. Let’s break it down in the most simpl...
Join discussionMay 28, 2025 · 8 min read · Trong thống kê suy luận và kiểm định giả thuyết, các quyết định đưa ra từ dữ liệu luôn tiềm ẩn nguy cơ sai sót. Hai loại sai lầm phổ biến nhất – Type I và Type II – có thể dẫn đến những hậu quả nghiêm trọng nếu không được hiểu rõ, đặc biệt trong các ...
Join discussionFeb 1, 2025 · 13 min read · Introduction Absenteeism is a habitual pattern of absence from a duty or obligation. Employee absenteeism is expensive and incurs a significant loss to an organization. It is essential to identify employees' characteristics according to their level o...
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Dec 28, 2024 · 3 min read · Introduction In the fast-paced world of subscription-based businesses, customer retention is paramount. Losing customers, or “churn,” can drastically affect a company’s growth and profitability. To address this challenge, I embarked on a data-driven ...
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Dec 22, 2024 · 6 min read · [26] Introduction A Confusion Matrix is an N x N matrix used for evaluating the performance of a classification model, where N is the number of target classes. The matrix compares the actual target values with those predicted by the machine learning ...
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Nov 6, 2024 · 12 min read · Welcome to the final section of Part Three: Classification. Classification model selection One common question in data science is which classification model to choose for a dataset. This section will show you how to quickly and efficiently select the...
Join discussionOct 14, 2024 · 7 min read · Machine learning, a subfield of artificial intelligence, empowers computers to learn from data and make decisions without being explicitly programmed. It is typically categorized into two main types: supervised learning and unsupervised learning. Sup...
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