Purdue Agriculture researchers are harnessing the power of artificial intelligence (AI) and machine learning (ML) to amplify ...

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning ...

Due to their many benefits, decision trees are extensively utilized to solve a variety of classification problems in the real world. Consequently, creating efficient and effective decision trees ...

Development and testing of the Decision Tree (DT) The decision tree (DT) model was developed in R software (version 4.3.2) to classify tomatoes as belonging to the Major Purchasing Potential (MPP) or ...

Leading NZ environment lawyers are suing their government over “absurd” plan to deal with its greenhouse gas emissions by mass planting non-native pine trees.

Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...

The key to thriving in this new era of AI is learning how to strike the right balance with thoughtful strategy.

Greenhouse gas emissions have returned to near record levels in one state, where a decision to extend a gas plant’s life has sparked nationwide protest.

College athletics hinges on decision from judge with a meticulous reputation Even with revenue sharing set to begin on July 1, Judge Claudia Wilken's history suggests she's in no hurry to render a ...

Dollar Tree's decision to abandon the $1 price point years ago is helping it offset tariff costs. The chain is more able to absorb costs by selling products for up to $7 each, executives said.