📢Day 10/100: Class Imbalance Challenges Class imbalance is a persistent issue in fraud detection and credit scoring. 🚨
In my dataset:
Fraudulent transactions are rare (<5%), making prediction tricky. Techniques like SMOTE (Synthetic Minority Oversampling Technique) helped balance the dataset. 💡 Key Insight: Balancing the data improved model precision for rare classes like fraud detection.
💡 Question: What other methods do you use to address class imbalance without oversampling?
📢Day 10/100: Class Imbalance Challenges Class imbalance is a persistent issue in fraud detection and credit scoring. 🚨
In my dataset:
Fraudulent transactions are rare (<5%), making prediction tricky. Techniques like SMOTE (Synthetic Minority Oversampling Technique) helped balance the dataset. 💡 Key Insight: Balancing the data improved model precision for rare classes like fraud detection.
💡 Question: What other methods do you use to address class imbalance without oversampling?
"This time we received the coordinates of enemy vehicles marked 'V' in Kyiv region," it added. Just days after Russia invaded Ukraine, Durov wrote that Telegram was "increasingly becoming a source of unverified information," and he worried about the app being used to "incite ethnic hatred." Recently, Durav wrote on his Telegram channel that users' right to privacy, in light of the war in Ukraine, is "sacred, now more than ever." He floated the idea of restricting the use of Telegram in Ukraine and Russia, a suggestion that was met with fierce opposition from users. Shortly after, Durov backed off the idea. Telegram does offer end-to-end encrypted communications through Secret Chats, but this is not the default setting. Standard conversations use the MTProto method, enabling server-client encryption but with them stored on the server for ease-of-access. This makes using Telegram across multiple devices simple, but also means that the regular Telegram chats you’re having with folks are not as secure as you may believe.
from ca
