Fatigue prediction method based on Bayesian optimization XGBoost algorithm
A prediction method and optimization technology, which is applied in calculation, health index calculation, computer parts, etc., can solve problems such as the need to improve the accuracy of prediction
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[0025] The present invention is a fatigue prediction method based on Bayesian optimization XGBoost algorithm, see figure 1 and figure 2 As shown, the steps are as follows:
[0026] Step 1. Use the signal acquisition instrument to obtain and store the physiological signal data of the tester in the state of exercise fatigue
[0027] Step 2. Eliminate abnormal data based on RANSAC algorithm
[0028] Step 3. Use the SMOTE oversampling algorithm to resample a small number of samples to solve the class imbalance problem
[0029] Step 4: Use the XGBoost model for fatigue prediction, and input the processed sample data into the XGBoost model for classification
[0030] Step 5. Use the Bayesian optimization algorithm to optimize the XGBoost model
[0031] Among them, the method of step one is as follows:
[0032] The data that the signal collector needs to collect includes the user's real-time blood pressure, blood oxygen saturation, heart rate, and body temperature. At the same...
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