Who is going to win this war of predictions and on what cost? Let’s explore. I recently participated in this Kaggle competition (WIDS Datathon by Stanford) where I was able to land up in Top 10 using various boosting algorithms. Since then, I have been very curious about the fine workings of each model including parameter tuning, pros and cons and hence decided to write this blog. Despite the rece
![CatBoost vs. Light GBM vs. XGBoost](https://cdn-ak-scissors.b.st-hatena.com/image/square/7f888afa87b075d523bf54adb34dfff142635dc6/height=288;version=1;width=512/https%3A%2F%2Fmiro.medium.com%2Fv2%2Fresize%3Afit%3A1200%2F1%2AB9wDla365AI9HjZEcUFq6A.jpeg)