Beitrag Algorithm

14. Oktober 2022

DailyProjects

Algorithm Random forest Description The algorithm is built upon a decision tree to improve the accuracy drastically. Random forest generates many times simple decision trees and uses the ‘majority vote’ method to decide on which label to return. For the classification task, the final prediction will be the one with the most vote; while for the regression task, the average prediction of all the trees is the final prediction. Type Regression Classification @raspberry_python

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DailyProjects05:42Algorithm Naive Bayes Description The Bayesian method is a classification method that makes use of the Bayesian theorem. The theorem updates the prior knowledge D

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DailyProjects05:45Algorithm AdaBoost Description Classification or regression technique that uses a multitude of models to come up with a decision but weighs them based on their D

DailyProjects05:45Algorithm Gradient-boosting trees Description Gradient-boosting trees is a state-of-the-art classification/regression technique. It is focusing on the error com