This project uses Weka to analyze the "Car Evaluation" dataset with decision trees, comparing model performance on 70/30 and 50/50 data splits. It includes accuracy, F1-scores, and decision tree ...

Artificial intelligence relies on machine learning algorithms trained on massive datasets to make predictions—think of how ...

Artificial intelligence relies on machine learning algorithms trained on massive datasets to make predictions - think of how ...

The AI models, paired with standardized care pathways, can be transformative in addressing readmissions and other high-impact ...

BostonGene, a leader in AI-powered solutions for drug discovery and development, today announced the publication of a collaborative study*, " AI-driven multimodal algorithm predicts immunotherapy and ...

The web is filled with AI garden design generators promising to create appealing landscapes for you. But should you believe ...

On a bench in a Philadelphia lab, a robot the size of a microwave clicks through tiny vials, building molecules that existed ...

The artificial intelligence method was used to optimize an early cancer detection test to ensure high sensitivity and specificity.

A 32-gram robot turns one of nature’s tricks into a long flight.

An Incremental Algorithm for (2-ε)-Approximate Steiner Tree Requiring O (n) Update Time Given an undirected connected weighted graph with non-negative edge weights and a subset of vertices called ...

Decision tree algorithm (DT) is a commonly used data mining method for classification and regression. DT repeatedly divides a dataset into pure subsets based on impurity measurements such as entropy ...

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