*Machine Learning Algorithms from Wireless Sensor Network's Perspective DOI: http://dx.doi.org/10.5772/intechopen.111417*

gaining knowledge, which is a system of mixing a couple of classifiers to solve a complicated trouble and to enhance the performance of the model.

Random forest is a classifier that incorporates a number of decision bushes on numerous subsets of the given dataset and takes the common to enhance the predictive accuracy of that dataset. In place of relying on one selection tree, this algorithm takes the prediction from every tree and based on most people votes of predictions, and it predicts the final output.
