Agricultural firms are uniquely exposed to risks that include volatile commodity prices, geopolitical tensions, and uneven ...

Artificial intelligence models used to detect depression on social media are often biased and methodologically flawed, according to a study led by Northeastern University computer science graduates.

Methods: The method of univariate analysis was the chi-square test. Variables with significant differences in univariate analysis were included in binary logistic regression model and decision tree ...

There are many types of ML techniques/algorithms, such as linear regression, logistic regression, decision trees, random forest, support vector machines, k-nearest neighbor and clustering, each ...

Using models such as Logistic Regression, Decision Tree, Random Forest, and Gradient Boosting, the research prioritized both predictive accuracy and explainability.

Luka Dončić trade: How Mark Cuban was edged out of Mavericks’ decision-making tree ...

Data from 401 early-stage patients with breast cancer at the University of Missouri's Ellis Fischel Cancer Center were used, encompassing 20 variables related to demographics, tumor characteristics, ...

Using a dataset of 52,683 individuals aged 30 to 80, including both COVID-19 survivors and those unaffected, the study employs machine learning models—logistic regression, decision trees, and random ...

The most commonly deployed supervised ML models include the L1 regularized logistic regression, support vector machines, decision trees, and random forest algorithms. 5 L1 regularized logistic ...