Decision-making tree based prediction method and device

A decision tree and algorithm technology, applied in the field of data processing, can solve the problems of poor visualization of the decision tree model and the inability of the interface to intuitively display the prediction path, etc.

Active Publication Date: 2014-10-22
HUAWEI TECH CO LTD
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Problems solved by technology

[0003] However, the inventor found that the CABRO visualization system visualization technology in the prior art has the following problems: the CABRO visualization system interface cannot intuitively display the predicted path, and it is necessary to move the rectangular frame in the global window multiple times, and then watch it in the local window, so that the decision-making Tree model visualization is poor

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[0064] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0065] Embodiments of the present invention provide a prediction method based on a decision tree, such as figure 1 As shown, the method includes the following steps:

[0066] 101. The prediction device based on the decision tree performs attribute selection on the data in the product defect data set according to feature attributes to generate a target training set.

[0067] Wherein, the above-mentioned feature attributes are inherent attributes or defect attribute...

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Abstract

The invention discloses a decision-making tree based prediction method and device and relates to the field of data processing, and the method and the device can improve the visualization effect of a decision-making tree model and the decision-making tree model testing process. The decision-making tree based prediction method includes steps of generating a target training set by feature selection of data in a defective data set of prestored products according to feature attributes; training a training set by a decision-making tree algorithm to generate a decision-making tree, wherein the training set belongs to the target training set; compressing the decision-making tree to obtain a first decision-making tree; displaying the first decision-making tree by means of the visualization technology; selecting at least one test case from a test set to be sequentially input into the first decision-making tree for testing, and generating classification paths for the test cases; displaying the classification paths of the test cases in the first decision-making tree by means of the visualization technology. The decision-making tree based prediction method and device is applied to defect prediction of the products.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a prediction method and device based on a decision tree. Background technique [0002] The decision tree model is a common defect prediction model. When a product fails, it can help maintenance personnel quickly locate the type of defect, come up with a maintenance plan in time, and reduce maintenance costs. However, due to the scattered release of some inherent attributes of many products, the decision tree model trained will be extremely large, such as thousands of types of defective products and defective boards, and the number of defect types (predicted attributes) will also reach several. There are hundreds of kinds, so in the face of such a huge decision tree, it is not feasible to use the traditional decision tree visualization method. Therefore, the prior art proposes a CABR0 large-scale decision tree visualization technology. There are two left and right windows in the CA...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/285
Inventor 陈焕华曹国祥
Owner HUAWEI TECH CO LTD
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