Method and device for improving prediction precision of prediction model
A prediction model and prediction accuracy technology, applied in the field of data processing, can solve the problems of the accuracy and reliability of the model output results, and achieve the effect of improving the accuracy and reliability, improving the prediction accuracy, and improving the generalization ability.
Inactive Publication Date: 2020-02-14
上海上湖信息技术有限公司
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[0004] In order to solve the problems of the prior art, the embodiment of the present invention provides a method for improving the forecasting accuracy of the forecasting model, so as to overcome the impact of the model in the prior art by abnormal values, resulting in the decrease of the accuracy and reliability of the model output results. And other issues
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[0044] In order to make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only Some, but not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0045] figure 1 is a flowchart of a method for improving the prediction accuracy of a prediction model according to an exemplary embodiment, refer to figure 1 As shown, the method includes the following steps:
[0046] S1: Based on the random forest algorithm, use the training data to train to obtain the corresponding multiple decision trees.
[0047] Specif...
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The invention discloses a method and a device for improving prediction precision of a prediction model. The method comprises the following steps: training by using training data based on a random forest algorithm to obtain a plurality of corresponding decision trees; calculating the average value of the heights of the to-be-detected sample points in each decision tree in the plurality of decisiontrees; calculating the abnormal probability of the to-be-detected sample point according to the average value; and removing the to-be-detected sample points of which the abnormal probability is greater than a preset threshold, and training the prediction model by using the remaining sample points to obtain a final prediction model. According to the method, the abnormal value in the sample data isremoved by using the random forest algorithm, and then the prediction model is trained by using the sample data without the abnormal value, so that the generalization ability of the model is improved,and finally the output accuracy and reliability of the prediction model are improved.
Description
technical field [0001] The invention relates to the technical field of data processing, in particular to a method and device for improving the prediction accuracy of a prediction model. Background technique [0002] After users register and handle related businesses on platforms such as finance, some users may spontaneously carry out follow-up loan applications and other processes, but more users will choose not to carry out follow-up operations and become precipitation users. In order to improve the business conversion rate, many financial institutions will have human specialists to conduct telemarketing, the purpose is to increase the conversion rate of precipitation users. However, it takes a lot of manpower and time to conduct telemarketing with human specialists for all users. In order to improve efficiency, some marketing models have been developed based on historical data, and the purpose of these models is to determine the probability of automatic conversion of user...
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Login to View More IPC IPC(8): G06Q30/02G06Q40/02G06K9/62
CPCG06Q30/0201G06Q40/03G06F18/2433G06F18/24323G06F18/2415
Inventor 赵毅仁张俊
Owner 上海上湖信息技术有限公司