Over the past several decades, organizations have invested vast resources in data infrastructure to improve decision success, but the results are mixed. A new approach called “decision-back” flips the ...

Emergent large language models (LLMs) such as OpenAI’s ChatGPT (particularly its latest iteration, GPT-4), Claude AI and Gemini have demonstrated limited decision-making. In this article, we’ll ...

A decision tree regression system incorporates a set of if-then rules to predict a single numeric value. Decision tree regression is rarely used by itself because it overfits the training data, and so ...

The two main downsides to decision trees are that they often don't work well with large datasets, and they are highly susceptible to model overfitting. When tackling a binary classification problem, ...

Structure-Based Screening: The EDT uses a highly refined set of detailed, structure-based questions to classify chemicals into toxicity categories with greater specificity than the Cramer Decision ...