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 ...

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

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 ...

A Decision Tree Classifier built from scartch in python 3 using the supervised learning methodology. The example here uses the iris data set, but you can load any dataset and it will run for that, ...