# Tag Info

### XGBoost prints trees beyond n_estimator

It's because you're doing multiclass classification, and xgboost does that by building parallel models for each class. So the total number of trees is actually $512\cdot (\text{# classes})$. I don't ...
• 10.8k

### Decision tree vs logistic regression feature importances

The difference in the importance of the 'Total day charge' coefficient between the decision tree and logistic regression models is due to the way that each model ...
• 2,981

### Why do we need XGBoost and Random Forest?

First Question: XGBoost converts weak learners to strong learners. What's the advantage of doing this? Combining many weak learners instead of just using a single tree? Just to get the vocabulary ...
• 191