Method for obtaining fault solution based on big data
A solution, big data technology, applied in the direction of instruments, character and pattern recognition, computing models, etc., can solve the problems that users cannot obtain recommended solutions, and achieve the effect of enhancing generalization ability and efficient training models
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[0016] Random forest is to build a forest in a random way. There are many decision trees in the forest, and each decision tree in the random forest is not related. When a new input sample enters, let each decision tree in the forest make a judgment to see which class the sample should belong to, and then see which class is selected the most, and predict the sample for that category.
[0017] Each classification tree in the random forest is a binary tree, and its generation follows the recursive top-down splitting principle, that is, the training set is divided once from the root node; in a binary tree, the root node contains all training data, according to the node According to the principle of minimum purity, it is split into left and right nodes, each of which contains a subset of the training data, and the nodes continue to split according to the same rules until the branch stop rule is satisfied and the growth stops.
[0018] After the input of the training set, recursive...
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