Why does XGBoost give different results?

Why does XGBoost give different results?

This result is due to random variables inside the model, if you want to have the same result each time try SEED that will garantie each random variable to be fixed to that SEED.

How does XGBoost work for time series?

XGBoost is an efficient implementation of gradient boosting for classification and regression problems. XGBoost is an implementation of the gradient boosting ensemble algorithm for classification and regression. Time series datasets can be transformed into supervised learning using a sliding-window representation.

How do I improve my XGBoost score?

Let us look at a more detailed step by step approach.

1. Step 1: Fix learning rate and number of estimators for tuning tree-based parameters.
2. Step 2: Tune max_depth and min_child_weight.
3. Step 3: Tune gamma.
4. Step 4: Tune subsample and colsample_bytree.
5. Step 5: Tuning Regularization Parameters.
6. Step 6: Reducing Learning Rate.

Why are the results the same every time I run split by XGBoost?

This is because of the randomness in selecting the features for split by the xgboost. You can use any integer in place of 100. This will set a seed for pseudorandom number generator, which will then generate exact same sequence of random numbers each time. So each time the code is called, the results will be same.

What makes the gradients different in XGBoost model?

If by “run” you mean training and testing, weights will be reinitialized to random values each run. This means the optimizer may find a different local minimum. Also, each training batch is randomly selected usually, so the gradients will be different depending on what training data is used in each batch.

Which is better XGBoost or random forest algorithm?

First of all, be wary that you are comparing an algorithm (random forest) with an implementation (xgboost). Now if we compare the performances of two implementations, xgboost, and say ranger (in my opinion one the best random forest implementation), the consensus is generally that xgboost has the better performance (with similar speed).