Neture flowers forest rain combination ❣️

A random forest is a collection of decision trees that are trained on different subsets of the training data, with each tree making predictions independently. When a new sample is presented for prediction, each tree in the forest makes a prediction, and the final prediction is taken as the majority vote of all the individual tree predictions.

The term "random" in random forest refers to the fact that each decision tree is trained on a random subset of the training data and a random subset of the features, which helps to reduce overfitting and improve the generalization performance of the model.