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[D] XGBoost doesnt follow the others models

[D] XGBoost doesnt follow the others models

Hello everyone,

I trained my data by different techniques: dimensional analysis (DA), support vector machine (SVM), multi-layer perceptron neural network (ANN) and XGBoost (XGB).The lowest RMSE achieved in the testset was by XGB. However when I tried some combinations of input data the curve was different from other models.

For example:

https://i.redd.it/ol6azkkrggd31.png

This phenomenon is theoretically expressed as a power of type y(x) = a * x ^ b. What are the possible causes for the model curve predicted by XGB not to follow the other models?

Assumptions:

(i) unbalanced continuous data of x or even y (target)? Histogram in https://i.imgur.com/EGg8eNN.png

(ii) hyperparameters (a good mapping of max_depth, min_child_weight, gamma, eta and adding regularizer parameters was tested)

(iii) nature of decision tree conditions

Is there a way I can better generalize (as a post-prune) my model to fit it?

Many thanks!

submitted by /u/drainbamagex
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.