XGBoost is a machine learning algorithm built on decision trees #ai #machinelearning #trending

XGBoost is a machine learning algorithm built on decision trees

It does not try to create a perfect model in one step
Instead it builds models sequentially

The first tree makes predictions
Then the next tree focuses on correcting the errors of the first
Then another tree corrects the remaining mistakes

This process continues again and again
Each new model learns from what went wrong before

This idea is called boosting
Turning many weak learners into one strong model

It uses gradient descent to minimize error
And regularization to prevent overfitting

That is why XGBoost is powerful
Not because it gets everything right once
But because it keeps improving step by step

So in the end
It is not intelligence
It is just structured correction over time

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