Stop oversampling! Changing the cutoff in probabilistic classifiers is enough for imbalanced data.
In our new paper, Gabriel O. Assunção, Marcos O. Prates, and I explore this in depth. jds-online.org/journal/JDS/...
#DataScience #MachineLearning #ImbalancedData #AI #Oversampling

How do you handle imbalance in your ML workflows?

Drop your thoughts in the comments! Let's start a conversation about responsible and effective machine learning practices. 💬👇

onlinelibrary.wiley....

#MachineLearning #DataScience #AI #SMOTE #ImbalancedData #MLResearch #PredictiveModeling

Next Monday on Data Bites : Probe Feature Selection

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Click the link below to subscribe and stay tuned!👇
https://f.mtr.cool/xefqrzzgeh

#machinelearning #datascience #imbalanceddata #undersampling #mlmodels #ML

Imbalanced datasets can mess with your ML models. 😬
ADASYN (Adaptive Synthetic Sampling) to the rescue! 🚀

Learn how it works + when to use it in our latest blog 👇
https://f.mtr.cool/rqstrumpnx

#MachineLearning #DataScience #ImbalancedData #ADASYN

KOTARO (Kernel‑density‑Oriented Threshold Adjustment) improves minority‑class recall on synthetic and public imbalanced datasets and can be added post‑hoc to any binary model. https://getnews.me/new-kernel-density-method-improves-imbalanced-binary-classification/ #machinelearning #imbalanceddata

So much for fairness of financial decisions when granting credit?

The dirty secrets of SMOTE -> lnkd.in/epH_gi9K

#imbalanceddata hashtag#calibration
#conformalprediction

Although imbalance correction improved the balance between sensitivity and specificity, similar results were obtained by shifting the probability threshold instead.”

#imbalanceddata #conformalprediction #calibration