TL;DR: In this post we'll examine how Tonic's new offering for data scientists, Djinn, helps address biases in classification models caused by imbalanced datasets.We compare the performance of Logistic Regression, XGBoost, and CatBoost models trained on datasets balanced with Djinn, SMOTE, and SMOTE-NC.
[
add
]
[
|
|
...
]