Decision Trees Unveiled: From ID3 to CART to Random Forests to XGBoost towardsai.net/p/artificial...
Author(s): Joseph Robinson, Ph.D. Originally published on Towards AI. A Comprehensive AI Guide All Machine Learning Engineers and Data Scientists Should Rea ...
Sure, this (xgboost with forests) is *purely exploratory*. I picked up on it nonetheless because the UK is so weird compared to the US/rest of Europe where radical right party support goes up with age *then comes down*.
Recently forced myself to learn some ML after failing multiple times, and it turned out far simpler than I thought I've only ventured as far as classifying tabular data (with XGBoost), but mainly it feels like putting in a bunch of my own heuristics and the model "learning" the useful combos
I think I was trying to understand XGBoost by reading the src? github.com/dmlc/xgboost Not sure how good of learning resource it is.
Optimist: the cup is half full Pessimist: the cup is half empty Data Scientist: I know what the marketing material says, but an LLM is wrong for predicting the cup capacity and we should just use XGBoost
You very rarely need anything more computationally complex than xgboost in the physical sciences. If you can't train a decent (cf. final) model on your personal laptop you likely should spend more time on understanding the problem, not throw more compute at it.
An XGBoost model identifies children at risk of autism before age 2, 6 months earlier than existing evals
This diagnostic study investigates whether machine learning models incorporating easily obtainable measures from medical records and background history
頂刊APP部署復現——基於XGBoost模型的心臟病風險預測與解釋:Streamlit應用程序開發 #復現#心臟病#應用
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Hydrology Paper of the Day @B_Ghanbarian suggested by @MLEarthSciences on how training data heterogeneity is important for machine learning models of soil saturated hydraulic conductivity: application of the XGBoost algorithm; learning curves; sample size; and feature importance.
Learning curves were applied to address effects of data heterogeneity and number of samples on machine learning-based model estimations Concept of representative elementary volume was used to det...