Model creation method and device and computer readable storage medium
A technology of computer equipment and models, applied in the field of artificial intelligence, can solve problems such as difficult to discover the nonlinear relationship of features, and achieve the effect of good feature expression data and strong data expression ability
Pending Publication Date: 2022-03-04
SHANGHAI ICEKREDIT INC
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Problems solved by technology
However, it is difficult to discover the nonlinear relationship between features by using linear models such as logistic regression. Therefore, how to create a model that can make features better express data is a technical problem urgently needed to be solved by those skilled in the art.
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[0051] The present application will be described in detail below with reference to the accompanying drawings, and the specific operation methods in the method embodiments can also be applied to the device embodiments or system embodiments.
[0052] In order to overcome the deficiencies mentioned in the background technology, the inventor provides the following solutions, please refer to figure 1 , figure 1 It is a schematic flow chart of the model creation method provided in the embodiment of this application. The model creation method provided in this embodiment can be executed by a computer device. In order to facilitate the description of the technical solution of the application, the model creation method is combined with a possible application scenario below To introduce in detail, among them, the possible application scenario can be used in the application scenario of risk control. Specifically, risk control can be applied to various places in Internet finance, mainly in...
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According to the model creation method and device and the computer readable storage medium provided by the invention, different integrated tree models are constructed through the first training sample set composed of the original sample data, the second training sample set composed of the derivative feature data and the third training sample set composed of the original sample data and the derivative sample data; and testing the test samples in the test sample set through different integration tree models to obtain different model evaluation indexes, and determining a final target integration tree model through the different model evaluation indexes. Compared with a tree, the method has higher data expression capability, and in addition, compared with a linear model, the method can also explore the nonlinear relationship between the features, so that the target integrated tree model determined in the mode can better enable the features to express the data.
Description
technical field [0001] The present application relates to the technical field of artificial intelligence, in particular, to a model creation method, device, and computer-readable storage medium. Background technique [0002] In the model structure, the data expression ability of a tree is generally weak, and it is not enough to dig out more discriminative cross-features. At the same time, as the number of layers of the tree deepens, there will be a tendency to overfit. However, it is difficult to discover the nonlinear relationship between features by using linear models such as logistic regression. Therefore, how to create a model that can make features better express data is a technical problem urgently needed to be solved by those skilled in the art. Contents of the invention [0003] In order to at least overcome the above-mentioned deficiencies in the prior art, the purpose of the present application is to provide a model creation method, device and computer-readable ...
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IPC IPC(8): G06N20/00
CPCG06N20/00
Inventor 顾凌云周轩张阳王震宇
Owner SHANGHAI ICEKREDIT INC