Objective Long-term azithromycin treatment effectively prevents acute exacerbations of chronic obstructive pulmonary disease ...

A new paper published in Nature Communications reveals how the way tree species are arranged in a forest can help optimize ...

A new study published in Nature Communications reveals that how tree species are arranged in a forest can significantly ...

The researchers employed a random forest model—an advanced machine learning algorithm used for variable selection—to identify the primary drivers of this variation.

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Bearings are essential to the reliable operation of rotating machinery in manufacturing processes. There is a rising demand for accurate bearing remaining useful life (RUL) predictions. The ...

This project forecasts daily sales for Rossmann stores using historical data, store metadata, and engineered features. We use the Random Forest Regression & XGBoost regression model to capture complex ...

Diabetes is a disease that causes abnormally high glucose levels in the blood and is considered the main factor of damage to blood vessels. This disease can affect the heart, eyes, kidneys, and nerves ...

Model Selection and Training: Train different models such as Logistic Regression, Decision Trees, and Random Forests. Model Evaluation and Performance Metrics: Evaluate accuracy, precision, recall, F1 ...