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CART

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Model Perspective

Jun 19, 2022 · Artificial Intelligence

How Decision Trees Work: From Entropy to Gini Index Explained

This article introduces decision tree algorithms, explains their role in supervised learning for classification and regression, details the construction process, compares information gain and Gini index for attribute selection, and reviews popular tree methods such as ID3, C4.5, and CART with illustrative examples.

C4.5CARTEntropy

0 likes · 7 min read

How Decision Trees Work: From Entropy to Gini Index Explained

Xianyu Technology

Feb 27, 2020 · Artificial Intelligence

Data-Driven Simulation for User Activity Retention Prediction

By extracting hour‑level activity logs and training supervised models—including CART, GBDT, and neural networks—on user tags, the team simulated short‑term metrics for new reward campaigns, enabling earlier prediction of next‑day retention and shortening experiment cycles despite delayed T+1 data.

AB testingCARTGBDT

0 likes · 9 min read

Data-Driven Simulation for User Activity Retention Prediction