Employing a comprehensive workflow in Python and Google Earth Engine (GEE), we compare these algorithms alongside commonly used ones such as Decision Tree Classifier, Random Forest, and Convolutional ...

Decision Tree (DT) is one of the widely adopted non-metric classification techniques in pattern recognition, data mining and related areas. With the increase in dimensionality of the data, the ...

Conclusion: Our study shows potential implementation of machine learning decision tree model algorithms based on a hierarchical, convenient, and personalized use of perfusion and spectroscopy MRI data ...

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A binary classification problem is one where the goal is to predict the value ...

After this, five different machine learning models are used in the prediction of ground ozone level and their final accuracy scores are compared. In conclusion, among Logistic Regression, Decision ...