Method, device and computer equipment for generating early warning report based on machine learning

Abstract

The present application discloses a method, device, computer equipment and storage medium for generating an early warning report based on machine learning. The method includes: crawling initial data from information sources to obtain specified data; inputting the specified data into a preset Perform calculations based on the trained prediction model based on machine learning to obtain the first predicted value; according to the specified data, use the preset knowledge map to obtain the second predicted value; use the formula: W=p a A+p b B Calculate the final predicted value W; calculate the difference between the final predicted value W and the predicted value of the control object; if the difference is not within the preset difference range, then input the specified data and the data of the control object into the preset Perform calculations in the data difference level calculation model to obtain the data difference level value output by the data difference level calculation model, and record the specified data whose data difference level value is greater than the level threshold as suspect data; generate an early warning report.

Description

technical field [0001] The present application relates to the field of computers, in particular to a method, device, computer equipment and storage medium for generating early warning reports based on machine learning. Background technique [0002] With the continuous development of information and intelligent society, the importance of early warning for the future is also increasing. In many aspects such as finance, how to accurately predict the future situation and give early warning is an urgent problem to be solved. Traditional technology generally uses artificial experience to predict, or uses a single prediction model for prediction and then early warning. Due to the inappropriate data used for prediction and the single model, traditional technology uses a single prediction model for prediction and early warning. The accuracy of the results needs to be improved. Moreover, the early warning technology that cannot be achieved by traditional technologies is generally ba...

AI Technical Summary

Problems solved by technology

Traditional technology generally uses artificial experience to predict, or uses a single prediction model for prediction and then early warning. Due to the inappropriate data used for prediction and the single model, traditional technology uses a single prediction model for prediction and early warning. The accuracy of the results needs to be improved

And the early warning technology that cannot be achieved by traditional technology is generally based on the preset value, which belongs to mechanical static early warning and cannot achieve dynamic early warning.

Images