Random Forest Regression Example This repository contains a Python script demonstrating the implementation of a Random Forest Regressor using scikit-learn. The example is based on a simple dataset to ...

These script and Jupyter Notebook allow to compare classical thresholding and Random Forest Classifier for pixel classification and object segmentation in microscopy images. In particular, source ...

Random Forest is an ensemble tree-based algorithm. It consists of a set of decision trees that are randomly selected from a subset of the training data.