ABB 5SHY4045L0003 3BHB021400 3BHE019719R0101 GVC736BE101

Description

ABB 5SHY4045L0003 3BHB021400 3BHE019719R0101 GVC736BE101

1. .Many products are not yet on the shelves please contact us for more products
2. .If there is any inconsistency between the product model and the picture on display, the model shall prevail. Contact us for the specific product picture, and we will arrange to take photos in the warehouse for confirmation
3. .We have 16 shared warehouses around the world, so please understand that it can sometimes take several hours to accurately return to you. Of course, we will respond to your concerns as soon as possible

5SHY4045L0003 3BHB021400 3BHE019719R0101 GVC736BE101 Naive Bayes classification algorithm is a simple probability classification algorithm based on Bayes’ theorem. The basis of Bayesian classification is probabilistic inference, which refers to how to complete inference and decision-making tasks when various conditions are uncertain and only the probability of their occurrence is known. Probabilistic reasoning corresponds to deterministic reasoning, while naive Bayes classifiers are based on independent assumptions, assuming that each feature of the sample is uncorrelated with other features.

5SHY4045L0003 3BHB021400 3BHE019719R0101 GVC736BE101 Naive Bayes classifier relies on an accurate natural probability model to achieve very good classification performance in supervised learning sample sets. In many practical applications, Naive Bayes model parameter estimation uses maximum likelihood estimation method, which means that Naive Bayes model can work without using Bayesian probability or any Bayesian model.

Mailbox：sauldcsplc@gmail.com | 5SHY4045L0003 3BHB021400 3BHE019719R0101 GVC736BE101

www.abbgedcs.com | Qiming Industrial Control | Simon +86 13822101417