- Xgboost With Python Classification Web App
1 week ago Here, we take the advantage of Shapash Python library which aims to make machine learning models interpretable and understandable by end-users who don’t have much technical knowledge but are interested to see the results in visualizations. With just a few lines of code (maybe 5 or 6), we can make some fancy visualization… See more
4 days ago As a start, we assign initial predictions to each sample. Since we haven’t trained any model or learned anything from the data, we can simply set 0.5 as initial prediction for every sample. Namely, a person has 50% chance being obese. ⚡ 0.5 is the default valuein XGBoost module. We can change it to whatever value we like as long as it’s in the rang...
› Author: Little Dino
› Published: Jul 06, 2022