For our quantitative study, we compared multiple machine-learning algorithms, including logistic regression, decision trees, random forest, and XGBoost, using our data to predict the right ...

The results showed a nuanced performance landscape shaped by urban form and algorithm design. Pixel-based methods such as K-means and Support Vector Machine (SVM) performed adequately in cities ...

Machine learning is a branch of artificial intelligence that allows computers to "learn" from data and improve their performance over time without being programmed.

How To Exclude Bias From A Machine Learning Algorithm There are three key rules that my team and I always observe when creating ML algorithms: • Ensure proper data collection.